Sketch Software Jobs in Jordan

<strong>Overview</strong> <br> <br> <p> <strong>Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. </strong> </p> <p> </p> <p>As a Vulnerability Analyst working on the Department of Defense (DoD) network, your duties would encompass a wide range of responsibilities aimed at ensuring the security and integrity of sensitive information and systems.</p> <p> </p> <p>Vulnerability Analysts conduct comprehensive assessments of computing systems, networks, and applications to identify and mitigate potential security risks. While leveraging cybersecurity methodologies, analysts analyze vulnerabilities, assess their impact, and collaborate with cross-functional teams to implement effective remediation plans of action with milestones. Seeks to protect and defend information and information systems by ensuring data confidentiality and integrity with non-repudiation, authentication, and availability of data and technology through assessments of control frameworks.</p> <p> </p> <p>Vulnerability Analysts strategically plan, coordinate, scan, analyze, and report compliance of the Department of Defense Information Network (DoDIN) to its Cybersecurity Services customers on the SWA regional and theater level. Program: OMDAC-SWACA</p> <p> </p> <p> <strong>This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program!</strong> </p> <p> </p> <p> <strong> <em>You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver s license in order to be qualified for this position.</em> </strong> </p> <br> <strong>Responsibilities</strong> <br> <br> <ul> <li>Conduct regular security assessments and audits of information systems with the DoD SWA network.</li> <li>Develop and implement action plans to manage common vulnerabilities and exposures.</li> <li>Design report templates for daily use and distribution to customers and subordinate personnel to maintain at minimum a 95% overall vulnerability compliancy rating.</li> <li>Monitor Information Assurance Security Alerts &amp; Bulletins to detect and ensure rapid initial response to any cybersecurity related incident or event that could cause harm to the SWA AOR of the DoDIN.</li> <li>Maintain cross-communication with other cybersecurity division (e.g. IDS/IPS &amp; ArcSight) to discover attempts to exploit known and zero-day vulnerabilities.</li> <li>Recommend improvements to the overall cybersecurity posture.</li> <li>Possess the ability to communicate effectively with management and upper echelon military personnel to ensure information is disseminated timely and efficiently.</li> <li>Maintain working knowledge of vulnerability management systems (Tenable &amp; Nessus) Provides technical and operational support to functional end users of vulnerability tools (e.g. Assured Compliance Assessment Solution) ACAS and TYCHON.</li> <li>Prepares vulnerability scanning reports to submit to commanders and higher headquarters. Interfaces with the IAVM Manager and ISSO regarding vulnerability and remediation issues.</li> <li>Additional requirements may vary depending upon location.</li> <li>Performs other duties and assignments as required.</li> </ul> <br> <strong>Qualifications</strong> <br> <br> <ul> <li> <strong>Qualifications</strong> </li> <li> <strong>Security Clearance: </strong> <ul> <li>Requires an active Secret Clearance</li> </ul> </li> <li> <strong>Education / Certifications:</strong> <em>One-year related experience can be substituted for one year of education if the degree is required.</em> <ul> <li>Bachelor s Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field.</li> <li>This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification.</li> <li>The authorized certifications for this job title are listed as follows:</li> </ul> </li> <li> <strong>BASELINE:</strong> <ul> <li>Cisco: CCNP: Certified Network Professional - Security</li> <li>CompTIA: CASP+ ce: Advanced Security Practitioner (ended 17 Dec 2024)</li> <li>CompTIA: SecurityX ce</li> <li>GIAC: GCED: Certified Enterprise Defender</li> <li>GIAC: GCIH: Certified Incident Handler</li> <li>ISACA: CISA: Certified Information Systems Auditor</li> <li>ISC2: CCSP: Certified Cloud Security Professional</li> <li>ISC2: CISSP (or Associate): Certified Information Systems Security Professional</li> </ul> </li> <li> <strong>COMPUTING ENVIRONMENT (CE)</strong>:<ul> <li>Cisco: CCIE: Certified Internetwork Expert (<strong>Any</strong>)</li> <li>Cisco: CCNP: Certified Network Professional (<strong>Any</strong>)</li> <li>DISA: ACAS: Assured Compliance Assessment Solution 5.3 (<strong>or current version</strong>)</li> <li>EC Council: CEH: Certified Ethical Hacker</li> <li>EC Council: ECIH: Certified Incident Handler</li> <li>EC-Council: CHFI: Certified Hacking Forensic Investigator</li> <li>EC-Council: CND: Certified Network Defender</li> <li>GIAC: GCIH: Certified Incident Handler</li> <li>Microsoft: 365 Certified: Enterprise Administrator Expert</li> <li>Microsoft: Certified: Azure Associate (<strong>Any</strong>)</li> <li>Microsoft: Certified: Azure Expert (<strong>Any</strong>)</li> <li>Microsoft: MCSA: Cloud Platform</li> <li>Microsoft: MCSA: Windows Server 2016</li> <li>Microsoft: MCSE: (<strong>Any above 2012</strong>)</li> <li>Microsoft: MCSE: Cloud Platform and Infrastructure</li> <li>Microsoft: MCSE: Data Management and Analytics</li> <li>Microsoft: MCSE: Productivity Solutions Expert</li> <li>Red Hat: RHCA: Certified Architect</li> <li>Red Hat: RHCE: Certified Engineer</li> <li>Red Hat: RHSA: Certified Systems Administrator</li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Requirements and benefits At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar) Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS) Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> - Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Requirements and benefits At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar) Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS) Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> - Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<p><h4>Description</h4> <p>The Specialist Security Engineer – Fortinet Solutions is responsible for designing, implementing, optimizing, and supporting advanced Fortinet-based cybersecurity solutions across enterprise, service provider, and data center environments. The role serves as a technical subject matter expert for Fortinet technologies, providing architecture design, deployment leadership, troubleshooting, migration support, and operational excellence across customer environments.</p> <p>Working within ZainTECH’s Cybersecurity Practice, the Specialist Security Engineer will lead the delivery of secure, scalable, and resilient security solutions covering network security, SD-WAN, SASE, Zero Trust architectures, privileged access management, web application security, and security monitoring platforms. The role collaborates closely with customers, presales teams, project delivery teams, and technology partners to ensure successful implementation and ongoing optimization of Fortinet security solutions.</p> <h4>Responsibilities</h4> <p><strong>Security architecture & solution design</strong></p> <ul> <li>Design and implement enterprise and data center security architectures utilizing Fortinet technologies.</li> <li>Develop secure, scalable, and highly available security solutions aligned with customer business and security requirements.</li> <li>Design and architect High Availability (HA) deployments, advanced SD-WAN solutions, Secure Access Service Edge (SASE) architectures, Zero Trust Network Access (ZTNA) environments, network segmentation and micro-segmentation strategies.</li> <li>Conduct security assessments and provide recommendations aligned with cybersecurity best practices and industry standards.</li> <li>Develop High-Level Designs (HLDs), Low-Level Designs (LLDs), migration and implementation plans, technical architecture documentation.</li> </ul> <p><strong>Fortinet solution deployment & integration</strong></p> <ul> <li>Lead the installation, configuration, migration, and optimization of Fortinet solutions including: <ul> <li>FortiGate</li> <li>FortiManager</li> <li>FortiAnalyzer</li> <li>FortiSwitch</li> <li>FortiAP</li> <li>FortiWeb</li> <li>FortiADC</li> <li>FortiPAM</li> <li>FortiProxy</li> <li>FortiDLP</li> <li>FortiSIEM</li> <li>FortiSASE</li> <li>FortiAppSec</li> </ul> </li> <li>Integrate Fortinet platforms with: <ul> <li>Active Directory</li> <li>LDAP</li> <li>RADIUS</li> <li>TACACS+</li> <li>Identity Providers (IdPs)</li> <li>Multi-Factor Authentication (MFA) platforms</li> <li>SIEM and Syslog solutions</li> <li>AWS and Microsoft Azure environments</li> <li>Third-party security solutions</li> </ul> </li> <li>Ensure successful migration and interoperability between legacy and modern security infrastructures.</li> </ul> <p><strong>Security operations & technical support</strong></p> <ul> <li>Provide advanced L2, L3, and escalation support for enterprise customers.</li> <li>Troubleshoot complex: <ul> <li>Security incidents</li> <li>Firewall issues</li> <li>Routing and connectivity problems</li> <li>VPN-related issues</li> <li>Authentication and access control challenges</li> </ul> </li> <li>Conduct root cause analysis and provide recommendations to prevent recurrence.</li> <li>Monitor solution performance and ensure high service availability.</li> <li>Maintain configuration backups, disaster recovery plans, and operational documentation.</li> <li>Support customers during critical incidents and major service disruptions.</li> </ul> <p><strong>Network security & advanced security technologies</strong></p> <ul> <li>Configure, manage, and optimize: <ul> <li>Security policies</li> <li>Application control</li> <li>Intrusion Prevention Systems (IPS)</li> <li>Web filtering</li> <li>Anti-malware services</li> <li>Data Loss Prevention (DLP)</li> <li>Proxy services</li> <li>Privileged Access Management (PAM)</li> <li>Security event monitoring and correlation</li> </ul> </li> <li>Deploy and support: <ul> <li>Psec VPN</li> <li>SSL VPN</li> <li>Remote Internet Access (RIA)</li> <li>Direct Internet Access (DIA)</li> <li>Site-to-Site VPNs</li> <li>Hub-and-Spoke VPN architectures</li> </ul> </li> <li>Implement Zero Trust and SASE security models to enhance customer security posture.</li> </ul> <p><strong>Project delivery & customer engagement</strong></p> <ul> <li>Lead implementation, migration, upgrade, and optimization projects.</li> <li>Coordinate activities with customers, vendors, project managers, internal delivery teams.</li> <li>Produce technical implementation documentation, acceptance reports, as-built documentation, operational handover documentation.</li> <li>Conduct customer knowledge transfer sessions and technical workshops.</li> <li>Support presales teams during solution presentations, technical discussions, and proof-of-concept activities.</li> </ul> <p><strong>Continuous improvement & technical leadership</strong></p> <ul> <li>Stay current with emerging cybersecurity threats, Fortinet product developments, and industry best practices.</li> <li>Participate in technical enablement and knowledge-sharing initiatives.</li> <li>Support the development of technical standards, implementation methodologies, and operational procedures.</li> <li>Contribute to service improvement initiatives across the Cybersecurity Practice.</li> </ul> <h4>Our culture & code of conduct</h4> <p>At ZainTECH, we take pride in a culture built on collaboration, innovation, and uncompromising integrity. We are looking for individuals who share these values and are committed to customer-centricity and ethical excellence. All employees are expected to uphold our Code of Conduct, which serves as a guiding framework for responsible behaviour across everything we do — from how we work with each other to how we engage with clients and partners globally.</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in Computer Engineering, Computer Science, Information Security, Information Technology, or a related field, with a minimum of 5 years of experience in cybersecurity and network security engineering.</li> <li>Proven hands-on expertise in designing, implementing, and supporting Fortinet security solutions, including FortiGate, FortiManager, FortiAnalyzer, SD-WAN, SASE, FortiWeb, FortiADC, FortiPAM, FortiProxy, FortiDLP, and FortiSIEM.</li> <li>Strong knowledge of network security architecture and infrastructure design, with expertise in TCP/IP, Routing & Switching, BGP, OSPF, VLANs, NAT, Traffic Shaping, and Policy-Based Routing.</li> <li>Advanced troubleshooting, analytical, and problem-solving skills, with experience supporting complex enterprise, managed services, or service provider environments.</li> <li>Strong customer-facing communication, presentation, consulting, and technical advisory skills, with the ability to engage effectively with stakeholders across all levels.</li> <li>Demonstrated technical leadership, mentoring capabilities, and experience managing project delivery while coordinating with multiple stakeholders.</li> <li>Solid understanding of security operations, incident response processes, and managed security services, including exposure to Zero Trust and cloud security architectures.</li> <li>Experience working with virtualization and cloud platforms such as VMware ESXi, Hyper-V, AWS, and Microsoft Azure, preferably within large-scale enterprise or multi-site environments.</li> <li>Strong documentation, reporting, and operational governance skills, with the ability to perform effectively in high-pressure environments and participate in critical incident response activities when required.</li> <li>Relevant certifications such as FCP, FCSS, NSE 4/5/6/7, CCNA, CCNP Security, FortiSASE, and AWS/Azure Security certifications, along with a commitment to continuous learning and professional development.</li> </ul></p><p></p>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p> <p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p> <h4>Why this role matters</h4> <p>At Lucidya, we are building products that help some of the region's most recognizable brands understand and engage with their customers at scale. As our platform grows, so does the complexity of the problems we solve.</p> <p>Great product ideas are easy. Turning them into products that customers actually use, engineers can confidently build, and the business can successfully launch is much harder.</p> <p>That's where this role comes in.</p> <p>As a Product Owner, you'll sit at the center of product delivery. You'll be responsible for turning customer problems, product strategy, and business priorities into clear, actionable work that engineering and design teams can execute with confidence.</p> <p>Your impact won't be measured by how many Jira tickets you create. It will be measured by how effectively you help the team build the right things, reduce delivery friction, avoid costly rework, and deliver meaningful value to customers faster.</p> <p>You'll work closely with Product Managers, Designers, Engineers, QA, and customer-facing teams to ensure everyone understands the problem we're solving, why it matters, and what success looks like.</p> <p>If you enjoy bringing structure to ambiguity, asking great questions, and helping teams move faster without sacrificing quality, you'll thrive here.</p> <h4>What you'll do</h4> <li>Create clarity where others see complexity</li> <p>You'll take customer feedback, business requests, product strategy, and technical requirements and transform them into clear user stories, acceptance criteria, workflows, and requirements that teams can confidently build from.</p> <li>Own squad readiness</li> <p>You'll make sure backlog items are ready before they enter development. Engineers shouldn't be discovering major requirements halfway through a sprint. You'll ensure the team has the context, detail, and alignment needed to deliver predictably.</p> <li>Help the team build the right things</li> <p>You'll partner closely with Product Managers to break large initiatives into smaller, valuable releases that allow us to learn quickly and deliver customer value faster.</p> <li>Drive productive collaboration</li> <p>You'll act as the bridge between product, design, engineering, QA, and customer-facing teams, ensuring everyone is aligned on priorities, scope, dependencies, and expected outcomes.</p> <li>Challenge unclear thinking</li> <p>When requirements are vague, assumptions are risky, or priorities don't make sense, you'll ask the hard questions. Respectfully, but confidently.</p> <li>Reduce delivery friction</li> <p>You'll identify risks, dependencies, and gaps before they become problems. Your goal is to help the team spend less time clarifying work and more time delivering value.</p> <li>Protect quality and customer experience</li> <p>You'll think beyond the happy path by considering edge cases, permissions, error handling, workflows, and usability before features reach customers.</p> <li>Support successful launches</li> <p>You'll help ensure internal teams understand what is being released, how it works, and what customers should expect through clear release notes, documentation, and enablement materials.</p> <h4>Requirements</h4> <h4>Who you are</h4> <li>You bring structure without creating bureaucracy</li> <p>You love organization, but you know process should help teams move faster, not slow them down.</p> <li>You care about outcomes, not ticket completion</li> <p>Closing a story isn't success. Solving a customer problem is.</p> <li>You ask great questions</li> <p>You naturally challenge assumptions, uncover hidden requirements, and identify risks before they become expensive mistakes.</p> <li>You communicate clearly</li> <p>You can explain a complex technical requirement to a designer, a customer problem to an engineer, and a product decision to a stakeholder without creating confusion.</p> <li>You thrive in cross-functional environments</li> <p>You enjoy working closely with engineers, designers, QA, Product Managers, and customer-facing teams to solve problems collaboratively.</p> <li>You have strong product delivery experience</li> <p>You have at least 3 years of experience as a Product Owner, Business Analyst, Associate Product Manager, or a similar role where you've owned requirements, backlog management, and delivery readiness.</p> <li>You're comfortable with technical concepts</li> <p>You don't need to write code, but you're comfortable discussing APIs, integrations, data models, permissions, workflows, and platform behavior with engineering teams.</p> <li>You're comfortable with ambiguity</li> <p>You won't always receive perfect requirements or complete information. You're able to create clarity and move things forward without waiting for every answer.</p> <p>You'll likely stand out if you have experience with:</p> <li>B2B SaaS products</li> <li>Customer experience (CX) platforms</li> <li>Social listening or customer engagement tools</li> <li>CRM, CDP, analytics, or workflow products</li> <li>AI-powered products and automation</li> <li>Arabic-first or MENA-focused products</li> <li>Product analytics and adoption metrics</li> <h4>What success looks like</h4> <p>Within your first few months:</p> <li>Backlog items enter development with significantly fewer unanswered questions.</li> <li>Sprint planning becomes more predictable because work is properly prepared and understood.</li> <li>Engineers spend less time seeking clarification and more time building.</li> <li>Rework decreases because requirements, edge cases, and acceptance criteria are defined upfront.</li> <li>Stakeholders trust delivery updates because expectations, trade-offs, and risks are communicated clearly.</li> <li>Product releases are smoother because internal teams are prepared and aligned.</li> <li>Most importantly, customers receive better products because the team consistently understands the problem before building the solution.</li> <h4>What the hiring process will look like</h4> <li>Intro call with TA</li> <li>Interview with HM</li> <li>Case study</li> <li>Presentation interview</li> <li>Culture fit / offer</li> <p>At Lucidya, we care deeply about ownership, curiosity, speed, and continuous improvement. We look for people who challenge ideas respectfully, communicate openly, and genuinely care about building products that solve real customer problems.</p> <p>If that sounds like the environment where you do your best work, we'd love to meet you.</p></p><p></p>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p> <p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p> <h4>Why this role matters</h4> <p>At Lucidya, we are building products that help some of the region's most recognizable brands understand and engage with their customers at scale. As our platform grows, so does the complexity of the problems we solve.</p> <p>Great product ideas are easy. Turning them into products that customers actually use, engineers can confidently build, and the business can successfully launch is much harder.</p> <p>That's where this role comes in.</p> <p>As a Product Owner, you'll sit at the center of product delivery. You'll be responsible for turning customer problems, product strategy, and business priorities into clear, actionable work that engineering and design teams can execute with confidence.</p> <p>Your impact won't be measured by how many Jira tickets you create. It will be measured by how effectively you help the team build the right things, reduce delivery friction, avoid costly rework, and deliver meaningful value to customers faster.</p> <p>You'll work closely with Product Managers, Designers, Engineers, QA, and customer-facing teams to ensure everyone understands the problem we're solving, why it matters, and what success looks like.</p> <p>If you enjoy bringing structure to ambiguity, asking great questions, and helping teams move faster without sacrificing quality, you'll thrive here.</p> <h4>What you'll do</h4> <li>Create clarity where others see complexity</li> <p>You'll take customer feedback, business requests, product strategy, and technical requirements and transform them into clear user stories, acceptance criteria, workflows, and requirements that teams can confidently build from.</p> <li>Own squad readiness</li> <p>You'll make sure backlog items are ready before they enter development. Engineers shouldn't be discovering major requirements halfway through a sprint. You'll ensure the team has the context, detail, and alignment needed to deliver predictably.</p> <li>Help the team build the right things</li> <p>You'll partner closely with Product Managers to break large initiatives into smaller, valuable releases that allow us to learn quickly and deliver customer value faster.</p> <li>Drive productive collaboration</li> <p>You'll act as the bridge between product, design, engineering, QA, and customer-facing teams, ensuring everyone is aligned on priorities, scope, dependencies, and expected outcomes.</p> <li>Challenge unclear thinking</li> <p>When requirements are vague, assumptions are risky, or priorities don't make sense, you'll ask the hard questions. Respectfully, but confidently.</p> <li>Reduce delivery friction</li> <p>You'll identify risks, dependencies, and gaps before they become problems. Your goal is to help the team spend less time clarifying work and more time delivering value.</p> <li>Protect quality and customer experience</li> <p>You'll think beyond the happy path by considering edge cases, permissions, error handling, workflows, and usability before features reach customers.</p> <li>Support successful launches</li> <p>You'll help ensure internal teams understand what is being released, how it works, and what customers should expect through clear release notes, documentation, and enablement materials.</p> <h4>Requirements</h4> <h4>Who you are</h4> <li>You bring structure without creating bureaucracy</li> <p>You love organization, but you know process should help teams move faster, not slow them down.</p> <li>You care about outcomes, not ticket completion</li> <p>Closing a story isn't success. Solving a customer problem is.</p> <li>You ask great questions</li> <p>You naturally challenge assumptions, uncover hidden requirements, and identify risks before they become expensive mistakes.</p> <li>You communicate clearly</li> <p>You can explain a complex technical requirement to a designer, a customer problem to an engineer, and a product decision to a stakeholder without creating confusion.</p> <li>You thrive in cross-functional environments</li> <p>You enjoy working closely with engineers, designers, QA, Product Managers, and customer-facing teams to solve problems collaboratively.</p> <li>You have strong product delivery experience</li> <p>You have at least 3 years of experience as a Product Owner, Business Analyst, Associate Product Manager, or a similar role where you've owned requirements, backlog management, and delivery readiness.</p> <li>You're comfortable with technical concepts</li> <p>You don't need to write code, but you're comfortable discussing APIs, integrations, data models, permissions, workflows, and platform behavior with engineering teams.</p> <li>You're comfortable with ambiguity</li> <p>You won't always receive perfect requirements or complete information. You're able to create clarity and move things forward without waiting for every answer.</p> <p>You'll likely stand out if you have experience with:</p> <li>B2B SaaS products</li> <li>Customer experience (CX) platforms</li> <li>Social listening or customer engagement tools</li> <li>CRM, CDP, analytics, or workflow products</li> <li>AI-powered products and automation</li> <li>Arabic-first or MENA-focused products</li> <li>Product analytics and adoption metrics</li> <h4>What success looks like</h4> <p>Within your first few months:</p> <li>Backlog items enter development with significantly fewer unanswered questions.</li> <li>Sprint planning becomes more predictable because work is properly prepared and understood.</li> <li>Engineers spend less time seeking clarification and more time building.</li> <li>Rework decreases because requirements, edge cases, and acceptance criteria are defined upfront.</li> <li>Stakeholders trust delivery updates because expectations, trade-offs, and risks are communicated clearly.</li> <li>Product releases are smoother because internal teams are prepared and aligned.</li> <li>Most importantly, customers receive better products because the team consistently understands the problem before building the solution.</li> <h4>What the hiring process will look like</h4> <li>Intro call with TA</li> <li>Interview with HM</li> <li>Case study</li> <li>Presentation interview</li> <li>Culture fit / offer</li> <p>At Lucidya, we care deeply about ownership, curiosity, speed, and continuous improvement. We look for people who challenge ideas respectfully, communicate openly, and genuinely care about building products that solve real customer problems.</p> <p>If that sounds like the environment where you do your best work, we'd love to meet you.</p></p><p></p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.<\/p>\n<p>This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.<\/p>\n<h4>About the Role<\/h4>\n<p>The Project \/ Delivery Manager owns one critical question:<\/p>\n<p><strong>\"How do we execute what we promised?\"<\/strong><\/p>\n<p>You take the Solution Consultant\u2019s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.<\/p>\n<p>You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.<\/p>\n<h4>Key Responsibilities<\/h4>\n<ol>\n <li><strong>Scoping & Handover from Solution Consultant<\/strong>\n <p>You step in once a pilot or project is conceptually approved.<\/p>\n <p><strong>Formal Handover<\/strong><\/p>\n <p>Receive full delivery context, including:<\/p>\n <ul>\n <li>Discovery findings<\/li>\n <li>Workflow maps and agent logic<\/li>\n <li>Success criteria and KPIs<\/li>\n <li>Pilot narrative and client expectations<\/li>\n <\/ul>\n <p>Clarify:<\/p>\n <ul>\n <li>Scope, constraints, dependencies, and assumptions<\/li>\n <li>Technical and operational boundaries<\/li>\n <\/ul>\n <p><strong>Scope Confirmation<\/strong><\/p>\n <p>Translate high-level workflows into clear delivery components:<\/p>\n <ul>\n <li>AI Agent versions (v0, v1, v2\u2026)<\/li>\n <li>Integrations, channels, and data sources<\/li>\n <li>Dashboards, reporting, and monitoring<\/li>\n <li>Training, enablement, and documentation<\/li>\n <\/ul>\n <p>Align internally and with the client on:<\/p>\n <ul>\n <li>What is in scope vs out of scope for each phase<\/li>\n <\/ul>\n <\/li>\n <li><strong>Detailed Planning & Backlog Management<\/strong>\n <p>This is where ideas become execution.<\/p>\n <p>You own:<\/p>\n <ul>\n <li><strong>Building the delivery plan and timeline:<\/strong><\/li>\n <ul>\n <li>Milestones, sprints, and go-live checkpoints<\/li>\n <li>Cross-team dependencies (AI, backend, integrations, data, CX ops)<\/li>\n <\/ul>\n <li><strong>Creating and maintaining the delivery backlog:<\/strong><\/li>\n <ul>\n <li>Break down deliverables into tasks and subtasks<\/li>\n <li>Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)<\/li>\n <\/ul>\n <li><strong>Keeping tools accurate and trusted:<\/strong><\/li>\n <ul>\n <li>Trello \/ Jira \/ Notion as the single source of truth<\/li>\n <li>Task status, blockers, due dates, and changes<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Coordination & Day-to-Day Execution<\/strong>\n <p>You are the operational heartbeat of each pilot or project.<\/p>\n <p>Responsibilities include:<\/p>\n <ul>\n <li>Running regular execution cadences:<\/li>\n <ul>\n <li>Standups and check-ins<\/li>\n <li>Progress reviews and decision syncs<\/li>\n <\/ul>\n <li>Ensuring tight collaboration between:<\/li>\n <ul>\n <li>Solution Consultants (business & workflows)<\/li>\n <li>Engineering and AI teams (implementation)<\/li>\n <li>Client stakeholders (CX, IT, Operations, Compliance)<\/li>\n <\/ul>\n <li>Driving execution discipline:<\/li>\n <ul>\n <li>Clear meeting notes<\/li>\n <li>Action items with owners and deadlines<\/li>\n <li>Relentless follow-up until closure<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Risk, Change & Stakeholder Management<\/strong>\n <p>AI agent delivery comes with moving parts - you own visibility and control.<\/p>\n <p>You will:<\/p>\n <ul>\n <li>Maintain a risk & issues log covering:<\/li>\n <ul>\n <li>Technical risks (data access, integrations, latency, environments)<\/li>\n <li>Business risks (scope creep, stakeholder shifts, external dependencies)<\/li>\n <\/ul>\n <li>Manage change transparently:<\/li>\n <ul>\n <li>Assess impact on scope, timelines, and delivery<\/li>\n <li>Align with stakeholders before execution<\/li>\n <\/ul>\n <li>Provide clear, consistent communication:<\/li>\n <ul>\n <li>Status updates<\/li>\n <li>Escalations when needed<\/li>\n <li>Expectation management throughout the lifecycle<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>UAT, Go-Live & Post-Go-Live Stabilization<\/strong>\n <p>Plan and coordinate:<\/p>\n <ul>\n <li>UAT cycles and acceptance criteria<\/li>\n <li>Go-live readiness and rollout plans<\/li>\n <\/ul>\n <p>Ensure smooth transition:<\/p>\n <ul>\n <li>Monitor early performance and issues<\/li>\n <li>Coordinate fixes and optimizations<\/li>\n <\/ul>\n <p>Own final handover:<\/p>\n <ul>\n <li>Documentation<\/li>\n <li>Support transition<\/li>\n <li>Clear ownership post-delivery<\/li>\n <\/ul>\n <\/li>\n<\/ol>\n<h4>Requirements<\/h4>\n<ul>\n <li>5-8 years in:\n <ul>\n <li>SaaS implementation<\/li>\n <li>Technical project management<\/li>\n <li>Digital or platform delivery<\/li>\n <\/ul>\n <\/li>\n <li>3+ years delivering enterprise projects with multiple stakeholders (business & IT)<\/li>\n <li>Proven experience with:\n <ul>\n <li>Integrations, APIs, and data-driven workflows<\/li>\n <li>Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus<\/li>\n <li>Experience working closely with product and engineering teams in Agile\/Scrum environments<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Must-Have Skills<\/h4>\n<ul>\n <li><strong>Project & Delivery Excellence<\/strong>\n <ul>\n <li>Strong command of:\n <ul>\n <li>Scoping, timelines, milestones<\/li>\n <li>RAID (Risks, Assumptions, Issues, Dependencies)<\/li>\n <\/ul>\n <\/li>\n <li>Confident running:\n <ul>\n <li>Standups, execution reviews, steering meetings<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Technical Literacy (Non-Coding)<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>API-based integrations and webhooks<\/li>\n <li>Data flows between systems<\/li>\n <\/ul>\n <\/li>\n <li>Able to:\n <ul>\n <li>Read basic API documentation and JSON payloads<\/li>\n <li>Translate technical constraints into delivery decisions<\/li>\n <\/ul>\n <\/li>\n <li>Solid conceptual understanding of:\n <ul>\n <li>SaaS platforms<\/li>\n <li>LLMs and AI agent workflows<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Stakeholder Management & Communication<\/strong>\n <ul>\n <li>Can confidently manage:\n <ul>\n <li>CX leadership<\/li>\n <li>IT and engineering teams<\/li>\n <li>Internal product and AI stakeholders<\/li>\n <\/ul>\n <\/li>\n <li>Produces:\n <ul>\n <li>Clear documentation<\/li>\n <li>Actionable recaps<\/li>\n <li>Concise, honest status updates<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Execution Mindset<\/strong>\n <ul>\n <li>Turns ideas into:\n <ul>\n <li>Tasks, owners, and deadlines<\/li>\n <\/ul>\n <\/li>\n <li>Keeps delivery tools always current and reliable<\/li>\n <li>Strong sense of ownership and follow-through<\/li>\n <\/ul>\n <\/li>\n <li><strong>AI Project Awareness<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>Iterative AI delivery (experiments, versions, evaluation cycles)<\/li>\n <li>Data privacy, guardrails, and quality metrics<\/li>\n <\/ul>\n <\/li>\n <li>Understands that AI delivery is adaptive, not linear<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Why Join Lucidya\u2019s AI Agents Team<\/h4>\n<ul>\n <li>Work at the intersection of AI, CX, and enterprise delivery<\/li>\n <li>Shape how AI agents are deployed in real-world, high-impact environments<\/li>\n <li>Partner with strong product, AI, and engineering teams<\/li>\n <li>Own delivery end-to-end - not just coordination<\/li>\n <li>Help define delivery standards for a brand-new AI business line<\/li>\n<\/ul>\n<p>Apply now and help us redefine the future of customer experience with AI agents.<\/p><\/p><p><\/p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.<\/p>\n<p>This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.<\/p>\n<h4>About the Role<\/h4>\n<p>The Project \/ Delivery Manager owns one critical question:<\/p>\n<p><strong>\"How do we execute what we promised?\"<\/strong><\/p>\n<p>You take the Solution Consultant\u2019s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.<\/p>\n<p>You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.<\/p>\n<h4>Key Responsibilities<\/h4>\n<ol>\n <li><strong>Scoping & Handover from Solution Consultant<\/strong>\n <p>You step in once a pilot or project is conceptually approved.<\/p>\n <p><strong>Formal Handover<\/strong><\/p>\n <p>Receive full delivery context, including:<\/p>\n <ul>\n <li>Discovery findings<\/li>\n <li>Workflow maps and agent logic<\/li>\n <li>Success criteria and KPIs<\/li>\n <li>Pilot narrative and client expectations<\/li>\n <\/ul>\n <p>Clarify:<\/p>\n <ul>\n <li>Scope, constraints, dependencies, and assumptions<\/li>\n <li>Technical and operational boundaries<\/li>\n <\/ul>\n <p><strong>Scope Confirmation<\/strong><\/p>\n <p>Translate high-level workflows into clear delivery components:<\/p>\n <ul>\n <li>AI Agent versions (v0, v1, v2\u2026)<\/li>\n <li>Integrations, channels, and data sources<\/li>\n <li>Dashboards, reporting, and monitoring<\/li>\n <li>Training, enablement, and documentation<\/li>\n <\/ul>\n <p>Align internally and with the client on:<\/p>\n <ul>\n <li>What is in scope vs out of scope for each phase<\/li>\n <\/ul>\n <\/li>\n <li><strong>Detailed Planning & Backlog Management<\/strong>\n <p>This is where ideas become execution.<\/p>\n <p>You own:<\/p>\n <ul>\n <li><strong>Building the delivery plan and timeline:<\/strong><\/li>\n <ul>\n <li>Milestones, sprints, and go-live checkpoints<\/li>\n <li>Cross-team dependencies (AI, backend, integrations, data, CX ops)<\/li>\n <\/ul>\n <li><strong>Creating and maintaining the delivery backlog:<\/strong><\/li>\n <ul>\n <li>Break down deliverables into tasks and subtasks<\/li>\n <li>Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)<\/li>\n <\/ul>\n <li><strong>Keeping tools accurate and trusted:<\/strong><\/li>\n <ul>\n <li>Trello \/ Jira \/ Notion as the single source of truth<\/li>\n <li>Task status, blockers, due dates, and changes<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Coordination & Day-to-Day Execution<\/strong>\n <p>You are the operational heartbeat of each pilot or project.<\/p>\n <p>Responsibilities include:<\/p>\n <ul>\n <li>Running regular execution cadences:<\/li>\n <ul>\n <li>Standups and check-ins<\/li>\n <li>Progress reviews and decision syncs<\/li>\n <\/ul>\n <li>Ensuring tight collaboration between:<\/li>\n <ul>\n <li>Solution Consultants (business & workflows)<\/li>\n <li>Engineering and AI teams (implementation)<\/li>\n <li>Client stakeholders (CX, IT, Operations, Compliance)<\/li>\n <\/ul>\n <li>Driving execution discipline:<\/li>\n <ul>\n <li>Clear meeting notes<\/li>\n <li>Action items with owners and deadlines<\/li>\n <li>Relentless follow-up until closure<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Risk, Change & Stakeholder Management<\/strong>\n <p>AI agent delivery comes with moving parts - you own visibility and control.<\/p>\n <p>You will:<\/p>\n <ul>\n <li>Maintain a risk & issues log covering:<\/li>\n <ul>\n <li>Technical risks (data access, integrations, latency, environments)<\/li>\n <li>Business risks (scope creep, stakeholder shifts, external dependencies)<\/li>\n <\/ul>\n <li>Manage change transparently:<\/li>\n <ul>\n <li>Assess impact on scope, timelines, and delivery<\/li>\n <li>Align with stakeholders before execution<\/li>\n <\/ul>\n <li>Provide clear, consistent communication:<\/li>\n <ul>\n <li>Status updates<\/li>\n <li>Escalations when needed<\/li>\n <li>Expectation management throughout the lifecycle<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>UAT, Go-Live & Post-Go-Live Stabilization<\/strong>\n <p>Plan and coordinate:<\/p>\n <ul>\n <li>UAT cycles and acceptance criteria<\/li>\n <li>Go-live readiness and rollout plans<\/li>\n <\/ul>\n <p>Ensure smooth transition:<\/p>\n <ul>\n <li>Monitor early performance and issues<\/li>\n <li>Coordinate fixes and optimizations<\/li>\n <\/ul>\n <p>Own final handover:<\/p>\n <ul>\n <li>Documentation<\/li>\n <li>Support transition<\/li>\n <li>Clear ownership post-delivery<\/li>\n <\/ul>\n <\/li>\n<\/ol>\n<h4>Requirements<\/h4>\n<ul>\n <li>5-8 years in:\n <ul>\n <li>SaaS implementation<\/li>\n <li>Technical project management<\/li>\n <li>Digital or platform delivery<\/li>\n <\/ul>\n <\/li>\n <li>3+ years delivering enterprise projects with multiple stakeholders (business & IT)<\/li>\n <li>Proven experience with:\n <ul>\n <li>Integrations, APIs, and data-driven workflows<\/li>\n <li>Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus<\/li>\n <li>Experience working closely with product and engineering teams in Agile\/Scrum environments<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Must-Have Skills<\/h4>\n<ul>\n <li><strong>Project & Delivery Excellence<\/strong>\n <ul>\n <li>Strong command of:\n <ul>\n <li>Scoping, timelines, milestones<\/li>\n <li>RAID (Risks, Assumptions, Issues, Dependencies)<\/li>\n <\/ul>\n <\/li>\n <li>Confident running:\n <ul>\n <li>Standups, execution reviews, steering meetings<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Technical Literacy (Non-Coding)<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>API-based integrations and webhooks<\/li>\n <li>Data flows between systems<\/li>\n <\/ul>\n <\/li>\n <li>Able to:\n <ul>\n <li>Read basic API documentation and JSON payloads<\/li>\n <li>Translate technical constraints into delivery decisions<\/li>\n <\/ul>\n <\/li>\n <li>Solid conceptual understanding of:\n <ul>\n <li>SaaS platforms<\/li>\n <li>LLMs and AI agent workflows<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Stakeholder Management & Communication<\/strong>\n <ul>\n <li>Can confidently manage:\n <ul>\n <li>CX leadership<\/li>\n <li>IT and engineering teams<\/li>\n <li>Internal product and AI stakeholders<\/li>\n <\/ul>\n <\/li>\n <li>Produces:\n <ul>\n <li>Clear documentation<\/li>\n <li>Actionable recaps<\/li>\n <li>Concise, honest status updates<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Execution Mindset<\/strong>\n <ul>\n <li>Turns ideas into:\n <ul>\n <li>Tasks, owners, and deadlines<\/li>\n <\/ul>\n <\/li>\n <li>Keeps delivery tools always current and reliable<\/li>\n <li>Strong sense of ownership and follow-through<\/li>\n <\/ul>\n <\/li>\n <li><strong>AI Project Awareness<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>Iterative AI delivery (experiments, versions, evaluation cycles)<\/li>\n <li>Data privacy, guardrails, and quality metrics<\/li>\n <\/ul>\n <\/li>\n <li>Understands that AI delivery is adaptive, not linear<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Why Join Lucidya\u2019s AI Agents Team<\/h4>\n<ul>\n <li>Work at the intersection of AI, CX, and enterprise delivery<\/li>\n <li>Shape how AI agents are deployed in real-world, high-impact environments<\/li>\n <li>Partner with strong product, AI, and engineering teams<\/li>\n <li>Own delivery end-to-end - not just coordination<\/li>\n <li>Help define delivery standards for a brand-new AI business line<\/li>\n<\/ul>\n<p>Apply now and help us redefine the future of customer experience with AI agents.<\/p><\/p><p><\/p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand, engage, and retain customers at scale.<\/p>\n<p>Unlike traditional platforms that stop at reporting and dashboards, Lucidya combines proprietary AI, deep language understanding, and autonomous workflows to help organizations move from insight to action. Our technology is built in-house and trained on millions of multilingual customer conversations, enabling brands across the MENA region to make better decisions, deliver better experiences, and build stronger customer relationships.<\/p>\n<p>As AI reshapes how businesses operate, we're building products that make customer understanding faster, more accurate, and more actionable than ever before.<\/p>\n\n<h4>Why this role matters<\/h4>\n<p>Most organizations today are overwhelmed with customer data.<\/p>\n<p>Conversations are happening across social media, surveys, reviews, support tickets, messaging channels, and countless other touchpoints. The challenge isn't collecting the data anymore. It's knowing what matters and what to do next.<\/p>\n<p>The Monitoring & Research domain sits at the center of that challenge.<\/p>\n<p>This is where customers come to understand public perception, identify emerging trends, monitor competitors, measure customer sentiment, and uncover the insights that drive business decisions. It is one of the most strategically important parts of Lucidya's platform and one of the biggest opportunities for innovation as AI transforms how research and customer intelligence are done.<\/p>\n<p>As Senior Product Manager, you'll be responsible for shaping how thousands of users discover, trust, and act on insights generated from millions of customer conversations.<\/p>\n<p>You'll be joining a team that values ownership over hierarchy, customer outcomes over feature output, and learning over certainty. We move quickly, challenge assumptions, and expect product leaders to bring strong opinions while remaining open to changing their minds when the evidence says otherwise.<\/p>\n<p>If you're excited by complex customer problems, AI-powered products, and the opportunity to define the future of customer intelligence in a region where world-class solutions are still emerging, this role will give you significant room to make an impact.<\/p>\n\n<h4>What you'll do<\/h4>\n<p><strong>Own the future of Monitoring & Research at Lucidya<\/strong><br>\nYou'll define the vision, strategy, and roadmap across three key product areas:<\/p>\n<ul>\n<li>Social listening<\/li>\n<li>Managed channels analytics<\/li>\n<li>Voice of Customer (VoC)<\/li>\n<\/ul>\n<p>Your responsibility isn't simply delivering features. It's ensuring customers can confidently answer critical business questions about their customers, markets, competitors, and brand performance.<\/p>\n\n<p><strong>Turn customer signals into decisions<\/strong><br>\nYou'll spend significant time understanding how customers currently make decisions, where they struggle to find trustworthy insights, and what prevents them from taking action.<\/p>\n<p>You'll use those learnings to build products that help customers move beyond reporting and toward clear recommendations, meaningful insights, and measurable business outcomes.<\/p>\n\n<p><strong>Lead discovery before delivery<\/strong><br>\nYou'll challenge assumptions, validate problems, and ensure we're solving issues that matter before resources are committed.<\/p>\n<p>You'll regularly engage customers, prospects, Customer Success teams, and internal stakeholders to uncover opportunities and validate product direction.<\/p>\n<p>Success in this role means building the right thing, not simply building things quickly.<\/p>\n\n<p><strong>Raise the quality bar for AI-powered insights<\/strong><br>\nAs AI becomes increasingly central to our platform, you'll help define what \"trustworthy AI\" means in practice.<\/p>\n<p>You'll work closely with AI, Data, Design, and Engineering teams to improve:<\/p>\n<ul>\n<li>Insight accuracy<\/li>\n<li>Sentiment quality<\/li>\n<li>Explainability<\/li>\n<li>Relevance<\/li>\n<li>Customer trust<\/li>\n<\/ul>\n<p>You'll constantly ask whether an insight is genuinely useful, not just technically impressive.<\/p>\n\n<p><strong>Make difficult prioritization decisions<\/strong><br>\nNot every good idea belongs on the roadmap.<\/p>\n<p>You'll evaluate opportunities using customer feedback, product data, market insights, commercial priorities, and strategic impact.<\/p>\n<p>You'll make trade-offs transparently and help the organization understand why certain bets are worth making while others are not.<\/p>\n\n<p><strong>Drive product adoption and business impact<\/strong><br>\nYou'll closely monitor customer behavior, adoption patterns, retention drivers, churn signals, and feedback loops.<\/p>\n<p>You'll use those insights to continuously improve the product and ensure the work being delivered creates measurable value for both customers and the business.<\/p>\n\n<p><strong>Be a leader beyond product<\/strong><br>\nYou'll collaborate across Engineering, Design, AI, Customer Success, Sales, Marketing, and Leadership teams.<\/p>\n<p>You'll help create alignment, provide clarity during ambiguity, and contribute to building a culture where teams are empowered to solve problems rather than simply execute requirements.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<ul>\n<li>You have strong product fundamentals<br>\nYou have at least 5 years of product management experience, ideally within B2B SaaS environments.<br>\nYou know how to take a problem from discovery through validation, delivery, measurement, and iteration.<br>\nYou understand that product management is ultimately about creating customer and business value, not managing backlogs.<\/li>\n<li>You simplify complexity<br>\nYou're comfortable working with large datasets, analytics platforms, AI-powered products, or technically complex systems.<br>\nMore importantly, you know how to transform complexity into experiences that feel intuitive and useful to customers.<\/li>\n<li>You stay close to customers<br>\nYou don't rely solely on internal opinions to make decisions.<br>\nYou regularly speak with customers, investigate workflows, validate assumptions, and seek evidence before committing to a direction.<br>\nYou're naturally curious about how people work and where products create friction in their lives.<\/li>\n<li>You are comfortable making decisions with incomplete information<br>\nYou won't always have perfect data.<br>\nYou can balance analysis with action, make informed decisions under uncertainty, and adapt when new information becomes available.<\/li>\n<li>You communicate with clarity<br>\nYou can explain technical concepts to non-technical audiences and customer problems to technical teams.<br>\nYou build alignment through clear thinking, structured communication, and transparency.<\/li>\n<li>You care about outcomes<br>\nYou measure success by customer adoption, customer value, and business impact rather than the number of features released.<br>\nYou're willing to challenge existing thinking when you believe there's a better way to solve a problem.<\/li>\n<\/ul>\n\n<h4>Bonus points if you have<\/h4>\n<ul>\n<li>Experience with social listening, media monitoring, Voice of Customer, customer intelligence, or research platforms<\/li>\n<li>Experience building AI-powered, analytics-heavy, or data-intensive products<\/li>\n<li>Familiarity with sentiment analysis, NLP, LLMs, recommendation systems, or automated research workflows<\/li>\n<li>Experience working with Arabic-language products, dialects, or regional customer behaviors<\/li>\n<li>Knowledge of MENA markets, particularly Saudi Arabia and the GCC<\/li>\n<li>Experience with platforms such as Brandwatch, Sprinklr, Meltwater, Talkwalker, Qualtrics, Medallia, or Brand24<\/li>\n<\/ul>\n\n<h4>What success looks like<\/h4>\n<ul>\n<li>Within your first 12 months:<\/li>\n<li>Customers trust Lucidya's insights enough to use them in critical business decisions<\/li>\n<li>Product adoption and engagement across Monitoring & Research increase meaningfully<\/li>\n<li>AI-powered insight experiences become more accurate, actionable, and differentiated<\/li>\n<li>Clear product strategy and prioritization frameworks are established across the domain<\/li>\n<li>Customer feedback consistently influences roadmap decisions<\/li>\n<li>Cross-functional teams have strong alignment around goals, priorities, and outcomes<\/li>\n<\/ul>\n\n<p>Lucidya is an equal opportunity employer. We believe great teams are built through diverse experiences, perspectives, and backgrounds. If you're excited about the opportunity but don't meet every requirement, we encourage you to apply anyway.<\/p><\/p><p><\/p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand, engage, and retain customers at scale.<\/p>\n<p>Unlike traditional platforms that stop at reporting and dashboards, Lucidya combines proprietary AI, deep language understanding, and autonomous workflows to help organizations move from insight to action. Our technology is built in-house and trained on millions of multilingual customer conversations, enabling brands across the MENA region to make better decisions, deliver better experiences, and build stronger customer relationships.<\/p>\n<p>As AI reshapes how businesses operate, we're building products that make customer understanding faster, more accurate, and more actionable than ever before.<\/p>\n\n<h4>Why this role matters<\/h4>\n<p>Most organizations today are overwhelmed with customer data.<\/p>\n<p>Conversations are happening across social media, surveys, reviews, support tickets, messaging channels, and countless other touchpoints. The challenge isn't collecting the data anymore. It's knowing what matters and what to do next.<\/p>\n<p>The Monitoring & Research domain sits at the center of that challenge.<\/p>\n<p>This is where customers come to understand public perception, identify emerging trends, monitor competitors, measure customer sentiment, and uncover the insights that drive business decisions. It is one of the most strategically important parts of Lucidya's platform and one of the biggest opportunities for innovation as AI transforms how research and customer intelligence are done.<\/p>\n<p>As Senior Product Manager, you'll be responsible for shaping how thousands of users discover, trust, and act on insights generated from millions of customer conversations.<\/p>\n<p>You'll be joining a team that values ownership over hierarchy, customer outcomes over feature output, and learning over certainty. We move quickly, challenge assumptions, and expect product leaders to bring strong opinions while remaining open to changing their minds when the evidence says otherwise.<\/p>\n<p>If you're excited by complex customer problems, AI-powered products, and the opportunity to define the future of customer intelligence in a region where world-class solutions are still emerging, this role will give you significant room to make an impact.<\/p>\n\n<h4>What you'll do<\/h4>\n<p><strong>Own the future of Monitoring & Research at Lucidya<\/strong><br>\nYou'll define the vision, strategy, and roadmap across three key product areas:<\/p>\n<ul>\n<li>Social listening<\/li>\n<li>Managed channels analytics<\/li>\n<li>Voice of Customer (VoC)<\/li>\n<\/ul>\n<p>Your responsibility isn't simply delivering features. It's ensuring customers can confidently answer critical business questions about their customers, markets, competitors, and brand performance.<\/p>\n\n<p><strong>Turn customer signals into decisions<\/strong><br>\nYou'll spend significant time understanding how customers currently make decisions, where they struggle to find trustworthy insights, and what prevents them from taking action.<\/p>\n<p>You'll use those learnings to build products that help customers move beyond reporting and toward clear recommendations, meaningful insights, and measurable business outcomes.<\/p>\n\n<p><strong>Lead discovery before delivery<\/strong><br>\nYou'll challenge assumptions, validate problems, and ensure we're solving issues that matter before resources are committed.<\/p>\n<p>You'll regularly engage customers, prospects, Customer Success teams, and internal stakeholders to uncover opportunities and validate product direction.<\/p>\n<p>Success in this role means building the right thing, not simply building things quickly.<\/p>\n\n<p><strong>Raise the quality bar for AI-powered insights<\/strong><br>\nAs AI becomes increasingly central to our platform, you'll help define what \"trustworthy AI\" means in practice.<\/p>\n<p>You'll work closely with AI, Data, Design, and Engineering teams to improve:<\/p>\n<ul>\n<li>Insight accuracy<\/li>\n<li>Sentiment quality<\/li>\n<li>Explainability<\/li>\n<li>Relevance<\/li>\n<li>Customer trust<\/li>\n<\/ul>\n<p>You'll constantly ask whether an insight is genuinely useful, not just technically impressive.<\/p>\n\n<p><strong>Make difficult prioritization decisions<\/strong><br>\nNot every good idea belongs on the roadmap.<\/p>\n<p>You'll evaluate opportunities using customer feedback, product data, market insights, commercial priorities, and strategic impact.<\/p>\n<p>You'll make trade-offs transparently and help the organization understand why certain bets are worth making while others are not.<\/p>\n\n<p><strong>Drive product adoption and business impact<\/strong><br>\nYou'll closely monitor customer behavior, adoption patterns, retention drivers, churn signals, and feedback loops.<\/p>\n<p>You'll use those insights to continuously improve the product and ensure the work being delivered creates measurable value for both customers and the business.<\/p>\n\n<p><strong>Be a leader beyond product<\/strong><br>\nYou'll collaborate across Engineering, Design, AI, Customer Success, Sales, Marketing, and Leadership teams.<\/p>\n<p>You'll help create alignment, provide clarity during ambiguity, and contribute to building a culture where teams are empowered to solve problems rather than simply execute requirements.<\/p>\n\n<h4>Requirements<\/h4>\n<h4>Who you are<\/h4>\n<ul>\n<li>You have strong product fundamentals<br>\nYou have at least 5 years of product management experience, ideally within B2B SaaS environments.<br>\nYou know how to take a problem from discovery through validation, delivery, measurement, and iteration.<br>\nYou understand that product management is ultimately about creating customer and business value, not managing backlogs.<\/li>\n<li>You simplify complexity<br>\nYou're comfortable working with large datasets, analytics platforms, AI-powered products, or technically complex systems.<br>\nMore importantly, you know how to transform complexity into experiences that feel intuitive and useful to customers.<\/li>\n<li>You stay close to customers<br>\nYou don't rely solely on internal opinions to make decisions.<br>\nYou regularly speak with customers, investigate workflows, validate assumptions, and seek evidence before committing to a direction.<br>\nYou're naturally curious about how people work and where products create friction in their lives.<\/li>\n<li>You are comfortable making decisions with incomplete information<br>\nYou won't always have perfect data.<br>\nYou can balance analysis with action, make informed decisions under uncertainty, and adapt when new information becomes available.<\/li>\n<li>You communicate with clarity<br>\nYou can explain technical concepts to non-technical audiences and customer problems to technical teams.<br>\nYou build alignment through clear thinking, structured communication, and transparency.<\/li>\n<li>You care about outcomes<br>\nYou measure success by customer adoption, customer value, and business impact rather than the number of features released.<br>\nYou're willing to challenge existing thinking when you believe there's a better way to solve a problem.<\/li>\n<\/ul>\n\n<h4>Bonus points if you have<\/h4>\n<ul>\n<li>Experience with social listening, media monitoring, Voice of Customer, customer intelligence, or research platforms<\/li>\n<li>Experience building AI-powered, analytics-heavy, or data-intensive products<\/li>\n<li>Familiarity with sentiment analysis, NLP, LLMs, recommendation systems, or automated research workflows<\/li>\n<li>Experience working with Arabic-language products, dialects, or regional customer behaviors<\/li>\n<li>Knowledge of MENA markets, particularly Saudi Arabia and the GCC<\/li>\n<li>Experience with platforms such as Brandwatch, Sprinklr, Meltwater, Talkwalker, Qualtrics, Medallia, or Brand24<\/li>\n<\/ul>\n\n<h4>What success looks like<\/h4>\n<ul>\n<li>Within your first 12 months:<\/li>\n<li>Customers trust Lucidya's insights enough to use them in critical business decisions<\/li>\n<li>Product adoption and engagement across Monitoring & Research increase meaningfully<\/li>\n<li>AI-powered insight experiences become more accurate, actionable, and differentiated<\/li>\n<li>Clear product strategy and prioritization frameworks are established across the domain<\/li>\n<li>Customer feedback consistently influences roadmap decisions<\/li>\n<li>Cross-functional teams have strong alignment around goals, priorities, and outcomes<\/li>\n<\/ul>\n\n<p>Lucidya is an equal opportunity employer. We believe great teams are built through diverse experiences, perspectives, and backgrounds. If you're excited about the opportunity but don't meet every requirement, we encourage you to apply anyway.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>