Restaurants Manager Jobs - Amman Jordan

<p><strong>Terms of Reference: DG Program Lead</strong></p> <p>About Development Gateway and the Early Grade Education Activity (EGEA)<br> Development Gateway: An IREX Venture (DG) is an international non-profit organization with<br> approximately 80 team members based in more than 10 countries worldwide. By leveraging the<br> combination of programmatic and IT developer capacity and skills within DG, over the last 20<br> years we have researched data ecosystems, built digital tools to support those data ecosystems,<br> and advised on data strategy and digital transformation to strengthen decision-making,<br> transparency, and service delivery.</p> <p><br> DG is one of several consortium partners, led by IREX, implementing the Early Grade<br> Education Activity (EGEA, also known as ‘ASAS’) program in Jordan between 2023-2028,<br> funded by the U.S. Department of State. As a large-scale development program, ASAS is a<br> complex, high-paced and outcome-oriented initiative. The consortium itself comprises well over<br> 50 individuals working on the program at any given time (based both in Jordan and abroad).<br> From DG’s side alone, there are likely to be approximately 8-10 personnel supporting<br> implementation at any given time, with at least 3 staff based in Amman including the Program<br> Lead.</p> <p><br> The overarching objective of ASAS is to improve the quality of early grades (K-G3) education<br> outcomes for children in Jordan. The program aims to achieve this objective by supporting the<br> education of student teachers while they are still at university (pre-service teachers), and also by<br> supporting early grades students and teachers (in-service teachers).</p> <p><br> DG’s role within the consortium is focused on enhancing data use among various systems and<br> data sources in Jordan’s education sector. DG will enhance user-centered digital solutions to<br> support local actors in mapping the data landscape and improving data systems’ utility and<br> interoperability. DG will also work with various actors in Jordan to support the digitization of<br> institutional data systems, including quality assurance processes and assessment where needs<br> are identified. Lastly, DG will also support integration and alignment of the national AI policy<br> into the education sector by conducting a series of AI readiness diagnostics and sandboxing<br> exercises at the Ministry of Education (MoE) and University level to explore the feasibility of<br> integrating automation safely and effectively into key functions.</p> <p><strong>Job description</strong><br> This is an exciting opportunity for someone who, through substantial experience in the<br> education and/or digital sectors in Jordan, has developed strong strategic skills. We are looking<br> for a senior professional based in Amman who is equally comfortable working on big picture<br> strategic issues and complex technical details. Someone who brings deep subject-matter<br> expertise in education and/or digital policy in Jordan while operating seamlessly in an advisory<br> capacity to steer complex conversations, build multi-stakeholder consensus, and align technical<br> work with overarching program objectives.</p> <p><br> As our program lead in Jordan, you will serve in a pivotal leadership capacity, managing DG’s<br> arm of the ASAS program, bridging relationships both within the consortium and with external<br> partners, strategic positioning, and technical execution. You will guide and mentor technical<br> experts across both DG and IREX, ensuring diverse technical perspectives remain tightly<br> focused, complementary, and directly linked to project goals.</p> <p><br> You will report to DG’s Deputy Director of Programs (based in the UK) while working in close<br> daily alignment with Jordan country leadership and consortium partners. The role is embedded<br> within the ASAS project office in Amman, Jordan, where you will regularly work alongside 30+<br> Jordan-based staff to ensure complete strategic and operational synergy.</p> <p><br> At DG, we are a creative, dynamic, and globally distributed team that values hard work,<br> innovative thinking, proactive problem-solving, and a strong sense of humor. We are seeking an<br> exceptional interlocutor and leader to serve as our primary strategic representative for the ASAS<br> program in Amman.</p> <p><strong>The work you get to do</strong></p> <p><em>Project management and delivery</em></p> <p>● Lead day-to-day management of DG’s activities under ASAS in Jordan, ensuring timelines, deliverables, and budgets are met.</p> <p>● Develop, maintain, and update work plans, activity trackers, and budgets in close coordination with the Senior Program Coordinator.</p> <p>● Ensure timely submission of programmatic reporting (quarterly and annual), coordinating across DG staff and partners. ● Coordinate weekly internal check-ins and quarterly meetings, ensuring smooth flow of information and accountability across teams.</p> <p>● Identify gaps in capacity or expertise and flag the need for consultant support or additional hiring.</p> <p>● Keep a strategic eye on progress, adjusting direction as needed to reflect new priorities or contextual realities.</p> <p>● Support set-up and management of additional DG programs in Jordan or the broader MENA region as required.&nbsp;</p> <p><em>Strategic advisory &amp; oversight </em></p> <p>● Maintain a strategic view across all DG-led workstreams within ASAS, focusing on future opportunities and risks, and considering the impact on programming and recommending adjustments accordingly.</p> <p>● Take a proactive approach to leadership, continuously critically assessing progress to foresee institutional shifts and plan strategically, while remaining comfortable diving deep into technical and operational details when bottlenecks arise. ● Identify emerging political, institutional, and technical risks early, framing proactive solutions and adjusting program direction to mirror shifting contextual realities.</p> <p>● Provide analytical inputs into, and undertake quality review of, external-facing knowledge products, publications, briefs and blogs.</p> <p>● Contribute expertise to relevant business development opportunities in Jordan, across the MENA region, and in your areas of strategic expertise as needed.&nbsp;</p> <p><em>Stakeholder convening &amp; steering </em></p> <p>● Act as a primary facilitator to convene working groups, structure strategic dialogues, and steer technical discussions toward actionable, high-impact outcomes.</p> <p>● Drive relationships with government counterparts (such as the Ministry of Education and Queen Rania Center) and partner university leadership to align digital and data initiatives with national policies</p> <p>● Represent DG and present ASAS’s impact at external events, potentially internationally, as required. Partnership building and maintenance</p> <p>● Serve as DG’s embedded lead within the IREX-hosted ASAS office in Amman, Jordan, contributing to office culture and ensuring DG’s work is fully-integrated and aligned with other consortium partners.</p> <p>● Mentor and guide technical experts from both DG and IREX, fostering collaborative, complementary working&nbsp;relationships across organizational lines and steering experts toward shared objectives.</p> <p><em>Partnership building and maintenance</em></p> <p><br> ● Serve as DG’s embedded lead within the IREX-hosted ASAS office in Amman, Jordan,<br> contributing to office culture and ensuring DG’s work is fully-integrated and aligned<br> with other consortium partners.</p> <p><br> ● Mentor and guide technical experts from both DG and IREX, fostering collaborative,<br> complementary working relationships across organizational lines and steering experts<br> toward shared objectives.</p> <p><br> ● Represent DG externally in meetings and contribute to external communications content<br> for the program.</p> <p><br> ● Following IREX’s lead, engage with Jordan’s MoE (e.g., Queen Rania Center,<br> Examination and Testing Department, Planning and Statistics Department) and other<br> key government and university stakeholders on project activities; maintain proactive,<br> transparent communication to build trust.</p> <p>● Other duties as assigned.&nbsp;</p> <p><strong>Qualifications and experience requirements</strong><br> ● Experience: 8+ years of experience working in complex, multi-stakeholder<br> environments, with a proven track record of managing high-level institutional<br> relationships.<br> ● Government &amp; Sector Expertise: Demonstrable experience building strategic<br> relationships with government stakeholders in Jordan (particularly the Ministry of<br> Education or related entities), alongside deep domain experience in digital policy, data<br> ecosystems, or early grade education.<br> ● Language &amp; Communication: Professional fluency in written and spoken Arabic and<br> English, with superior communication and diplomacy skills.<br> ● Education: Bachelor’s degree in Public Policy, Education, Information Systems, STEM,<br> or a related discipline required.<br> ● Adaptability: Willing and able to support DG priorities in Jordan and MENA beyond<br> ASAS as required, including pot</p> <p><strong>Preferred (desirable) qualifications</strong><br> ● Master’s degree in education, public policy, or a tech-related discipline.<br> ● Experience designing and/or conducting qualitative research and assessments and<br> trainings.<br> ● Demonstrable AI policy/AI in education experience.<br> ● International experience.</p> <p><br> <strong>Position Details</strong></p> <p><br> This is a full-time staff position (not consultancy), embedded in the ASAS office in Amman.<br> The role is expected to run for the life of the program (3 years), pending annual performance<br> reviews. The expected annual salary range is USD 55,000–69,000, depending on relevant<br> experience.</p> <p>Link to apply: https://development-gateway.breezy.hr/p/a7ad5a02d36b-dg-program-lead</p> <p>&nbsp;</p> <p>&nbsp;</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>