Database administrator DBA Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for all on-site details for executing group events, develop and follow checklist/itinerary, and troubleshoot event problems. Serve as liaison and contact person for coordinating details of events with clients, outside vendors, meeting planners, and others involved in events. Design, confirm, and communicate room layouts and set-up requirements for special events. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, and reservations. Transmit information or documents using computer, mail, or facsimile machine. Operate standard office equipment other than computers. Prepare weekly departmental payroll paperwork. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; and serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Follow all company and safety and security policies and procedures, report accidents and injuries, and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, protect company assets, and visually inspect tools, equipment, or machines. Welcome and acknowledge all guests according to company standards, anticipate and address guests service needs, and thank guests with genuine appreciation. Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than 50 pounds without assistance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: high school diploma or G.E.D. equivalent.</p><p>Related Work Experience: Less than 1 year related work experience.</p><p>Supervisory Experience: At least 2 years of supervisory experience.</p><p>License or Certification: None</p><p></p></section>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a talented Sr. Specialist. Data Scientist to join us. At Hikma you ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</p><p>If you want to be part of a team that cares about impact, this is the place for you.</p><h3>Key Responsibilities:</h3><ul><li>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</li><li>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</li><li>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</li><li>Design and optimize data pipelines to enable ML model training, validation, and deployment.</li><li>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</li><li>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</li><li>Ensure data quality, governance, and compliance while handling sensitive financial data.</li><li>Utilize automation tools such as Selenium to streamline data collection and processing workflows</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</p><p>Minimum: Bachelor s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</p><p>Preferred: Master s degree in Data Science or a related field.</p><p>At least 4-7 years experience in data science and machine learning.</p><p>Experience in a Finance department is plus.</p><h3>Skills:</h3><p>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</p><p>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</p><p>Hands-on experience with SQL and working with relational databases.</p><p>Knowledge of big data processing frameworks such as PySpark.</p><p>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</p><p>Experience with data visualization tools such as Power BI, Tableau.</p><p>Strong problem-solving, analytical, and critical-thinking skills.</p><p>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</p><p>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions.<br> Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.<br> What You'll Do ❏ Validate data displayed across dashboards, reports, web, and mobile applications ❏ Reconcile source data, transformed datasets, and final analytical outputs ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms ❏ Validate business rules and ensure reported figures align with approved definitions ❏ Identify data discrepancies and investigate inconsistencies before release ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products ❏ Act as the quality gate before dashboards and reports are released to end users ❏ Log, track, and support the resolution of data quality issues ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues ❏ Maintain documentation for reconciliation rules, report logic, and validation processes ❏ Contribute to improving reporting standards, validation checklists, and quality practices You're Our Match If You Have ❏ 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions ❏ Strong SQL skills for data validation, reconciliation, and comparison ❏ Experience working with Power BI, Tableau, or similar reporting platforms ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems ❏ Excellent analytical skills with exceptional attention to detail ❏ Ability to communicate data issues clearly to both technical and business stakeholders ❏ Strong sense of ownership and commitment to data accuracy Bonus Points If You Have Experience With ❏ Validating analytics for web or mobile applications ❏ Government or enterprise reporting environments ❏ Data governance, reporting standards, or data quality frameworks ❏ Supporting executive-level reporting</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>Location:</span></strong><span> Amman, Jordan</span></p><br> <p><strong><span>Job Type:</span></strong><span> Full-time</span></p><br> <p><strong><span>Hashtag:</span></strong><span> #LI-AA2</span></p><br> <p><strong><span>About Us :</span></strong></p><br> <p><span>For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,500+ empowered employees are central to this mission. </span></p><br> <p><span>As a trusted and reliable partner of over 800 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&amp;D hubs across the MENA, North America and Europe, our footprint allows us to play a critical role in serving patients.&nbsp; </span></p><br> <p><strong><span>Description:</span></strong></p><br> <p><span>We are looking for a talented <strong>Sr. Specialist. Data Scientist </strong>to join us. At Hikma you’ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We’re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</span></p><br> <p><span>If you want to be part of a team that cares about impact, this is the place for you.</span></p><br> <p><strong><span>Key Responsibilities:</span></strong></p><br> <ul> <li><span>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</span></li> <li><span>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</span></li> <li><span>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</span></li> <li><span>Design and optimize data pipelines to enable ML model training, validation, and deployment.</span></li> <li><span>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</span></li> <li><span>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</span></li> <li><span>Ensure data quality, governance, and compliance while handling sensitive financial data.</span></li> <li><span>Utilize automation tools such as Selenium to streamline data collection and processing workflows</span></li> </ul> <p><strong><span>Qualifications:</span></strong></p><br> <p><span>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</span></p><br> <ul> <li><span>Minimum: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</span></li> <li><span>Preferred: Master’s degree in Data Science or a related field.</span></li> <li><span>At least 4-7 years’ experience in data science and machine learning.</span></li> <li><span>Experience in a Finance department is plus.</span></li> </ul> <p><strong><span>Skills:</span></strong></p><br> <ul> <li><span>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</span></li> <li><span>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</span></li> <li><span>Hands-on experience with SQL and working with relational databases.</span></li> <li><span>Knowledge of big data processing frameworks such as PySpark.</span></li> <li><span>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</span></li> <li><span>Experience with data visualization tools such as Power BI, Tableau.</span></li> <li><span>Strong problem-solving, analytical, and critical-thinking skills.</span></li> <li><span>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</span></li> <li><span>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</span></li> </ul> <p><strong><span>Learn more about Hikma in Jordan </span></strong><strong><span>hikma-jordan-factsheet-aug-2025-en.pdf</span></strong></p><br> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description Summary</b></p><br><br>Drives field performance and execution excellence for assigned Therapeutic Areas (TAs) or functions by shaping field execution models, orchestrating of the International Commercial Excellence (ICE) frameworks at country level, performance frameworks, and go-to-market (GTM) field approaches. The role acts as the primary Field Excellence interface for TA, Sales, and Value &amp; Access (V&amp;A) leadership, ensuring alignment between brand strategy, access strategy, and field execution. It ensures consistent application of International Field Excellence standards while allowing for country specific execution needs. The role coordinates Field Excellence resources supporting the TA/function and represents field considerations in planning and review forums.<br><p><b>Job Description</b></p><br><br><p><b>Act as the primary Field Excellence interface for the TA / function</b></p><br><br><ul><li>Serve as the main Field Excellence interface for Therapeutic Area leadership, TA Sales Heads, and Value &amp; Access Strategy and Access Field Leads.</li><li>Represent Field Excellence in TA and Access Field planning and performance reviews, ensuring field implications are clearly understood.</li><li>Prioritize Field Excellence supporting activities based on TA and Access Field strategic importance and performance needs.</li><li>Fieldwork involves shadowing reps, analyzing field performance, validating call quality, and aligning CRM practice.</li></ul><br><p><b>Own field execution design choices for the TA / function</b></p><br><br><ul><li>Ensure field execution models are aligned with Brand strategy, Go-To-Market plans, Access strategy</li><li>Translate strategic intent into clear field execution direction, defining:&nbsp;<ul><li>What the field should focus on</li><li>How success is measured</li><li>Where prioritization trade-offs are required</li></ul></li><li>Propose an effective sales organization structure and optimal size of the sales force and of Value &amp; Access stakeholders facing field team, based on internal and external benchmarks data (supported by IDS+ input).</li><li>Propose FF sizing scenarios, comparison and recommendations based on synergy between existing targets, benchmark data and launch priorities</li></ul><p><b>Shape and steer Go-To-Market field models</b></p><br><br><ul><li>Support new launch GTM design and implementation, in line with International and Regional guidance.</li><li>Shape discussions on launch field setups, field prioritization, and resourcing trade-offs (from a strategic perspective)</li><li>Implement the guidance on HCP tiering from International and assign tiers to the HCP customer base, building on inputs from country TA</li><li>Guardrail ICE segmentation – ensure segmentation process is revisited before cycle meetings using VIP and funnel analytics input</li><li>Partner with CRM &amp; field system owners for implementation support</li></ul><p><b>Steer field KPIs and effectiveness metrics</b></p><br><br><ul><li>Implement and align field commercial and functional KPIs with International and local brand strategy.</li><li>Incorporate ICE KPIs to ensure consistency across commercial execution.</li><li>Oversee commercial KPIs &amp; V&amp;A field metrics, including field force effectiveness assessments (e.g. STEM), review reports and analyze commercial and V&amp;A field data and derive performance, metrics insights &amp; shape possible action plans for functional heads considerations and decisions.</li><li>Maintain key healthcare decision makers and targets lists. Review, report and analyze Access account/field data</li></ul><p><b>Shape and steer Field incentives models</b></p><br><br><ul><li>Lead incentive scheme design, modelling payout scenarios, based on strategic priorities and historical results. Manage field incentives operations&nbsp;</li><li>Prepare individual quotas from the national target based on territory potential&nbsp;<br>Consult with TA Sales Head and FLMs on deviation, territory amendment</li><li>Measure field force performance/execution, incentives advisory, incentive diagnostics&nbsp;</li><li>Partner with CRM &amp; field system owners for implementation support</li></ul><p><b>Manage territory design and alignment operations</b></p><br><br><ul><li>Own territory design and alignment processes, ensuring operational accuracy and execution feasibility.</li><li>Lead creation and revision of territory maps, rep placement analytics, call plan generation and refinement (IDS+, Zaidyn)</li><li>Ensure territory changes are fully implemented in systems, in partnership with CRM and field system owners.</li><li>Apply ICE segmentation and targeting inputs to territory operations, as defined by international standards.</li></ul><p><b>Operates and manages the country CRM (Customer Relationship Management) platforms</b></p><br><br><ul><li>Operate the CRM platforms such as Veeva, Oncore, etc. day-to-day, ensuring availability, performance monitoring, and business continuity for field and function execution.</li><li>Configure CRM objects, workflows, and standard features based on validated cross-functional business requirements, aligned to International templates, data models, and governance frameworks.</li><li>Coordinate incident triage and resolution with DDIT (Data, Digital and IT) and external vendors, documenting recurring issues and workarounds.</li><li>Manage CRM releases and upgrades locally (planning, testing, communication, deployment support), coordinating dependencies with DDIT and vendors.</li><li>Manage country adoption of Customer Engagement of the Future (CEFUT), aligned with international priorities, standards, and platform roadmaps.</li><li>Safeguard CRM data capture processes needed to support consistent, Commercial, V&amp;A and MA execution, ensuring accurate and complete recording of interactions and accounts.</li><li>Monitor data quality and correct usage, escalating systemic issues to relevant owners (e.g., data standards) and proposing corrective actions (training, validation rules, guidance).&nbsp;</li></ul><br><p><b>ICE deployment orchestration</b></p><br><br><ul><li>Design &amp; execute customer journeys across channels, integrating CRM, SFMC, &amp; rep-triggered tools</li></ul><p><b>Content activation &amp; Channel orchestration (including OMC-OCE/customer experience journeys)</b></p><br><br><ul><li>Ensure content is activated and ready to be used on FF tech platforms in Oncore CRM to increase usage of iCVA</li><li>Ensure customer journeys are validated and aligned with content use</li><li>Develop omnichannel excellence by providing implementation guidance and channel upskilling – use of SFMC (orchestration, iCVA usage), aligned with Int’l OC teams based on ICE framework</li><li>Overseen tagging, FUSE uploading and MLR processes and ensure standards of execution</li><li>Ensure content is activated on SFMC and ready to be used on field technological platforms</li><li>Provide customer journey insight to continuously improve customer engagement</li><li>Support multichannel engagement orchestration with Access accounts (e.g. RTE, etc.)</li><li>Support in activating 'not promo' contents (developed by V&amp;A) across diff channels for payers &amp; accounts</li><li>Enable patients and payers multichannel insights, incl enabling Access Field to provide and capture reimbursement pathway insights (regional/country V&amp;A field inputs), and enable analysis and reporting.</li></ul><p><b>One-Brand-Plan rhythm &amp; orchestration</b></p><br><br><ul><li>Ensure process (strategy is realized) happens and orchestrated locally</li><li>Co-define execution metrics and KPIs</li></ul><br><p><b>Skills Desired</b></p><br><br>Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function.<br> 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.<br> 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.<br> Responsibilities: 1.<br> Platform Architecture &amp; Engineering Leadership: Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale 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 Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data 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 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 Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring 2.<br> Delivery &amp; Data Products: Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness 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 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 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 3.<br> Data Governance &amp; Quality: Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths 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 Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer 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 Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners 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 4.<br> Team Leadership &amp; Capability Development: Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output 5.<br> Business Partnership &amp; Vendor Engagement: Serve as the senior D&amp;A point of contact for business function leadership, translating business data needs into platform and delivery priorities Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early Represent D&amp;A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred Relevant certifications in cloud data platforms (e.<br>g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment Experience with Medallion/lakehouse architecture patterns in production Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred 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 Experience leading a data governance or catalogue implementation, from design through to business adoption Life sciences, pharmaceutical, or other regulated industry experience is preferred Skills : Technical Competencies: Data Platform Architecture Data Engineering, Pipeline Design &amp; CDC Patterns Data Modelling, Transformation &amp; Engineering Standards Data Governance, Quality &amp; Catalogue Analytics &amp; BI Delivery MLOps &amp; ML Platform Foundations Delivery Management &amp; Agile Methods Platform &amp; Technical Skills: Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar) Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale CI/CD for data pipelines, practical implementation at production scale Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub Leadership &amp; Business Skills: Credible with both technical teams and senior business stakeholders Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap Strong written and verbal communication in English; Arabic proficiency valued Cultural intelligence for working effectively across MENA, US, and Europe</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Seesaw is seeking a technically elite Director of Engineering based in Amman, Jordan, to lead and scale our regional engineering hub. You will be responsible for growing this organization, leveling up its architecture, and continuing to deliver on a roadmap benefiting millions of teachers and students. This role requires a rare blend of "in-the-trenches" technical depth and the collaborative DNA required to iterate quickly with global stakeholders. You are the critical bridge between our Jordan-based talent and US-based leadership, ensuring our platforms and products serve millions of customers with excellence.</p><p>Key Responsibilities</p><ul><li><strong>Strategic Cross-Functional Partnership:</strong> Act as the primary technical partner to Product, UX, and Sales teams. Translate customer-facing initiatives into technical reality, iterating rapidly to meet the needs of the MENA education market.</li><li><strong>Scaling &amp; Mentorship:</strong> Lead, recruit, and retain a top-tier team in Amman; transition the org from a flat structure to a tiered leadership model as we grow from 15 to 30+ headcount.</li><li><strong>Modernization &amp; DevOps Excellence:</strong> Lead the strategic evolution of our existing tech stack. You will migrate legacy components toward high-efficiency, modern architectures while ensuring high-confidence, continuous deployments. You will drive AI adoption across the software development lifecycle.</li><li><strong>Technical Stewardship:</strong> Provide architectural oversight across PHP, Python, and React environments, ensuring best-in-class code quality, AWS infrastructure reliability, and data-driven insights for internal and external customers.</li><li><strong>Global Integration:</strong> Drive seamless collaboration across regions with a Monday Thursday overlap with the US East Coast, ensuring the Amman team is a critical contributor to Seesaw s global product roadmap.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Linguistic Fluency:</strong> Professional-level fluency in both Arabic and English (written and verbal).</li><li><strong>Modernization Expertise:</strong> Proven track record of modernizing legacy codebases and evolving tech stacks in a live production environment.</li><li><strong>Collaboration Mastery:</strong> Exceptional ability to work effectively across departments and time zones, with a record of success on cross-functional initiatives.</li><li><strong>Engineering Depth:</strong> Significant experience in full-stack development (PHP, Python, React) AWS, and automated testing.</li><li><strong>Growth Leadership:</strong> Experience managing teams of 15+ and a clear vision for how to scale an engineering culture to 30+ and beyond.</li><li><strong>Flexible Schedule:</strong> Ability to maintain a consistent 4-hour daily overlap (Mon Thu) with US East Coast business hours.</li></ul><p>Nice to Have</p><ul><li>Prior experience in EdTech, SaaS, or B2G (Business-to-Government).</li><li>Prior experience shipping AI features and experiences to customers.</li><li>Deep roots in the Amman tech ecosystem and local talent networks.</li></ul><p></p></section>

<p><h4>About the Institution</h4> <p>Amman Baccalaureate School is a leading educational institution in Jordan, committed to providing high-quality international education that fosters academic excellence and personal growth. We are seeking a dynamic and experienced Chief Technology Officer (CTO) to lead our technology strategy and operations, ensuring the integration of innovative solutions that support our mission and enhance the learning experience.</p> <h4>Minimum Qualification</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field; master’s degree preferred.</li> </ul> <h4>Minimum Experience</h4> <ul> <li>At least 5 years of relevant experience in technology leadership roles.</li> </ul> <h4>Job Overview</h4> <p>The CTO will play a pivotal role in leading all technology initiatives within the school. This position offers an exciting opportunity to shape the technological landscape of our institution, driving strategic direction, ensuring robust systems, enhancing cybersecurity measures, and overseeing the provision of IT services across the school. The CTO will spearhead IT project transformations, providing crucial data and insights to key stakeholders, and fostering innovation in educational technology.</p> <p>The CTO will also lead the school's strategic adoption of artificial intelligence (AI), ensuring that emerging technologies are leveraged responsibly to enhance educational outcomes, operational effectiveness, and future readiness.</p> <h4>Skills and Qualifications</h4> <ul> <li>Proven experience in managing IT teams and projects.</li> <li>Strong knowledge of current technologies including network administration, cybersecurity, software development, cloud computing, and data management.</li> <li>Ability to develop long-term strategies aligned with organizational goals.</li> <li>Excellent problem-solving skills with attention to detail.</li> <li>Effective communication skills suitable for collaborating with educators, administrators, students, and external partners.</li> <li>Familiarity with educational technologies preferred but not required.</li> </ul> <h4>Values and Attitudes</h4> <ul> <li>Commitment to fostering an inclusive environment that supports diversity among staff and students.</li> <li>Proactive approach towards continuous learning and innovation.</li> <li>Integrity in handling sensitive information responsibly.</li> <li>Collaborative mindset focused on teamwork across departments.</li> <li>Passionate about leveraging technology to enhance educational outcomes.</li> </ul> <p>If you are ready to contribute your expertise toward shaping the future of education at International School Amman Baccalaureate School as our CTO, we encourage you to apply.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us:</strong></p><br><p>Trusted and loved by 25 million educators, students, and families worldwide, Seesaw is the only elementary learning platform, offering a suite of award-winning tools, resources, and curriculum for teachers to deliver joyful, inclusive instruction.&amp;nbsp; Through interactive lessons, digital portfolios, and family communication features, Seesaw keeps everyone in the learning loop by providing continuous visibility into the student's learning experience to support and celebrate their learning.</p><br><p><strong>Our Mission:</strong></p><br><p>Seesaw’s mission is to provide every elementary student with joyful and connected learning experiences that lay the foundation for success in life.</p><br><p><strong>The Role:</strong></p><br><p>Seesaw is seeking a technically elite Director of Engineering based in Amman, Jordan, to lead and scale our regional engineering hub. You will be responsible for growing this organization, leveling up its architecture, and continuing to deliver on a roadmap benefiting millions of teachers and students.</p><br><p>This role requires a rare blend of 'in-the-trenches' technical depth and the collaborative DNA required to iterate quickly with global stakeholders. You are the critical bridge between our Jordan-based talent and US-based leadership, ensuring our platforms and products serve millions of customers with excellence.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Strategic Cross-Functional Partnership: Act as the primary technical partner to Product, UX, and Sales teams. Translate customer-facing initiatives into technical reality, iterating rapidly to meet the needs of the MENA education market.</li><li>Scaling &amp;amp; Mentorship: Lead, recruit, and retain a top-tier team in Amman; transition the org from a flat structure to a tiered leadership model as we grow from 15 to 30+ headcount.</li><li>Modernization &amp;amp; DevOps Excellence: Lead the strategic evolution of our existing tech stack. You will migrate legacy components toward high-efficiency, modern architectures while ensuring high-confidence, continuous deployments. You will drive AI adoption across the software development lifecycle.</li><li>Technical Stewardship: Provide architectural oversight across PHP, Python, and React environments, ensuring best-in-class code quality, AWS infrastructure reliability, and data-driven insights for internal and external customers.</li><li>Global Integration: Drive seamless collaboration across regions with a Monday – Thursday overlap with the US East Coast, ensuring the Amman team is a critical contributor to Seesaw’s global product roadmap.</li></ul><p><strong>Requirements</strong></p><br><ul><li>Linguistic Fluency: Professional-level fluency in both Arabic and English (written and verbal).</li><li>Modernization Expertise: Proven track record of modernizing legacy codebases and evolving tech stacks in a live production environment.</li><li>Collaboration Mastery: Exceptional ability to work effectively across departments and time zones, with a record of success on cross-functional initiatives.</li><li>Engineering Depth: Significant experience in full-stack development (PHP, Python, React) AWS, and automated testing.</li><li>Growth Leadership: Experience managing teams of 15+ and a clear vision for how to scale an engineering culture to 30+ and beyond.</li><li>Flexible Schedule: Ability to maintain a consistent 4-hour daily overlap (Mon–Thu) with US East Coast business hours.</li></ul><p><strong>Nice to Have</strong></p><br><ul><li>Prior experience in EdTech, SaaS, or B2G (Business-to-Government).</li><li>Prior experience shipping AI features and experiences to customers.</li><li>Deep roots in the Amman tech ecosystem and local talent networks.</li></ul><p>Our company participates in E-Verify.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Oscar Domestic Workers Recruitment Office is seeking a motivated and professional Administrative Assistant to join our team in Aqaba.</p><p><br></p><p>Responsibilities:</p><p>• Handle office administration tasks and daily operations.</p><p>• Answer phone calls and communicate with clients professionally.</p><p>• Manage records, documents, and applications.</p><p>• Coordinate appointments and follow-up activities.</p><p>• Support the team with administrative and organizational tasks.</p><p><br></p><p>Requirements:</p><p>• Bachelor's Degree.</p><p>• Good command of English.</p><p>• Proficiency in computer applications and Microsoft Office.</p><p>• Strong communication and teamwork skills.</p><p>• Commitment, responsibility, and professionalism.</p><p>• Previous experience is preferred.</p><p><br></p><p>Benefits:</p><p>• Competitive salary.</p><p>• Social Security coverage.</p><p>• Stable work environment.</p><p><br></p><p>Location:</p><p>Aqaba, Jordan</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>English Language Proficiency</p><p><br></p><p>Computer Skills</p><p><br></p><p>Microsoft Office</p><p><br></p><p>Administrative Support</p><p><br></p><p>Customer Service</p><p><br></p><p>Communication Skills</p><p><br></p><p>Teamwork</p><p><br></p><p>Ability to communicate with clients professionally</p><p><br></p><p>Multitasking Ability</p><p><br></p><p>Office Administration</p><p>Time Management</p><p><br></p><p>Data Entry</p><p><br></p><p>Document Management</p><p><br></p><p>Attention to Detail</p><p><br></p><p>Responsibility</p><p><br></p><p>Professionalism</p><p><br></p><p>Problem Solving</p><p><br></p><p>Organization Skills</p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; 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><p>Responsibilities:</p><p>1. Platform Architecture &amp; Engineering Leadership:</p><ul><li>Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale</li><li>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</li><li>Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data</li><li>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</li><li>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</li><li>Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring</li></ul><p>2. Delivery &amp; Data Products:</p><ul><li>Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions</li><li>Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output</li><li>Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them</li><li>Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness</li><li>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</li><li>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</li><li>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</li></ul><p>3. Data Governance &amp; Quality:</p><ul><li>Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions</li><li>Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths</li><li>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</li><li>Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer</li><li>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</li><li>Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners</li><li>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</li></ul><p>4. Team Leadership &amp; Capability Development:</p><ul><li>Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand</li><li>Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure</li><li>Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline</li><li>Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles</li><li>Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities</li><li>Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline</p><p>Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred</p><p>Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred</p><p>Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles</p><p>Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team</p><p>Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level</p><p>Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment</p><p>Experience with Medallion/lakehouse architecture patterns in production</p><p>Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred</p><p>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</p><p>Experience leading a data governance or catalogue implementation, from design through to business adoption</p><p>Life sciences, pharmaceutical, or other regulated industry experience is preferred</p><p>Skills :</p><p>Technical Competencies:</p><ul><li>Data Platform Architecture</li><li>Data Engineering, Pipeline Design &amp; CDC Patterns</li><li>Data Modelling, Transformation &amp; Engineering Standards</li><li>Data Governance, Quality &amp; Catalogue</li><li>Analytics &amp; BI Delivery</li><li>MLOps &amp; ML Platform Foundations</li><li>Delivery Management &amp; Agile Methods</li></ul><p>Platform &amp; Technical Skills:</p><ul><li>Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps</li><li>Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow</li><li>Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar)</li><li>Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale</li><li>CI/CD for data pipelines, practical implementation at production scale</li><li>Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows</li><li>Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub</li></ul><p>Leadership &amp; Business Skills:</p><ul><li>Credible with both technical teams and senior business stakeholders</li><li>Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically</li><li>Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap</li><li>Strong written and verbal communication in English; Arabic proficiency valued</li><li>Cultural intelligence for working effectively across MENA, US, and Europe</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Position -&nbsp;Associate Director – MEP (Data Centres)<br> Job Location - Amman, Jordan<br> <br> Qualification &amp; Experience Required:<ul><li>Bachelor’s or Master’s degree in Electrical, Mechanical, or Building Services Engineering.</li><li>10-15+ years of progressive experience in planning, designing, and delivering large-scale data centers, including multiple Uptime Tier III/IV projects.</li><li>Responsible for the end-to-end design, delivery, and technical leadership of mission-critical data centre facilities. You will act as the single technical authority, interfacing directly with clients, vendors, and internal teams to ensure projects meet performance, reliability, and compliance targets from design inception through to delivery</li><li>In-depth knowledge of MV/LV power distribution, UPS, emergency generators, CRAC units, economizers, chilled-water systems, VFDs, fire detection/suppression, BMS, and DCIM platforms.</li><li>Strong understanding of latest Data Centre system trends and technologies such as liquid-cooling are highly desirable</li><li>Preferred experience with fast track design/build projects and or multiple significant upgrade project for large-scale technical operations or large-scale compute farms</li><li>Professional certifications such as Uptime Tier Certified Professional, PMP, LEED AP, or BICSI RCDD are highly desirable.</li></ul><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The CSM will manage strategic enterprise client relationships, serving as a trusted advisor to senior executives and key decision-makers. Lead complex product implementations and business transformation initiatives, driving successful adoption, commercial growth, and long-term client value. Collaborate with cross-functional and regional stakeholders to deliver large-scale projects, leveraging data-driven insights to inform strategy, optimise performance, and achieve business objectives.</p><p>Core Responsibilities and Accountabilities:</p><p>Client Relationship Management</p><ul><li>Function as the primary post-sale point of contact for assigned clients.</li><li>Build trusted relationships across business and technical stakeholders.</li><li>Understand client objectives, pain points, and strategic priorities.</li><li>Conduct regular business reviews and success planning sessions.</li></ul><p>Success Planning &amp; Value Realization</p><ul><li>Develop and maintain Client Success Plans (CSPs).</li><li>Define measurable client outcomes and track progress.</li><li>Demonstrate business value through data-driven insights and performance reviews.</li><li>Drive achievement of client KPIs and business goals.</li></ul><p>Product Adoption &amp; Growth</p><ul><li>Maximize utilization and adoption of our products and services.</li><li>Identify under-utilized solutions and recommend optimization opportunities.</li><li>Drive revenue realization from newly implemented products.</li><li>Surface qualified sales leads and expansion opportunities for Account Executives.</li></ul><p>Program &amp; Operational Leadership</p><ul><li>Monitor onboarding and implementation progress.</li><li>Orchestrate internal stakeholders across Product, Sales, Risk, Operations, Technical Solutions, and Support.</li><li>Function as an escalation point for critical client issues.</li><li>Ensure client readiness for product launches and changes.</li></ul><p>Business Optimization</p><ul><li>Analyze client performance trends and health metrics.</li><li>Proactively identify opportunities for improvement.</li><li>Provide strategic recommendations using data and industry knowledge.</li><li>Support retention and long-term client growth.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Strong client-centric approach with expertise in stakeholder management, needs analysis, and executive communication. Expertise in lead generation, success planning, data-driven storytelling, product adoption, and consultative client engagement. Strong commercial acumen with critical thinking, advanced problem-solving, and data analytics to deliver strategic outcomes. Proven ability to manage projects, coordinate cross-functional teams, optimise resources, and deliver outcomes within tight timelines.</p><p>Mandatory Skills:</p><ul><li>Bachelor's degree in Computer Science, Technology, Engineering, or a related field (Master's preferred).</li><li>12+ years of experience in Payments, Banking, Financial Services, FinTech, Consulting, and Client Success / Relationship Management</li><li>Regional experience, including working in a faced-paced matrix organisation.</li><li>Excellent communication skills in English (written, verbal, and presentation).</li></ul><p>Preferred Skills:</p><ul><li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li><li>An understanding of regional regulations across financial services or payment networks.</li></ul><p></p></section>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate Quarterly Business Review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate Quarterly Business Review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>