Jobs at Emirates Investment Authority

PurposeThe Data & AI Manager is responsible for defining and executing EIA's data, analytics, and artificial intelligence agenda toenable data-driven decision-making across investment and corporate functions.Operating within a sovereign wealth fund context, the role focuses on building scalable data platforms, advancedanalytics capabilities, and AI use cases that support investment performance, risk management, strategic planning, andoperational efficiency, while ensuring strong governance, data quality, and responsible AI use. The role focuses on AI andanalytics value creation, prioritisation, and adoption, working in partnership with IT for platform delivery and operations.Strategic Responsibilities Define and lead EIA's Data & AI Strategy, ensuring alignment with the Digital Strategy, investment priorities,and corporate strategy. Establish enterprise-wide data governance frameworks, including data quality standards, ownership models,and analytics principles. Identify, prioritize, and sequence AI and advanced analytics use cases that deliver measurable business value Promote data literacy and adoption across investment and corporate teams to embed data-driven decisionmaking Act as a strategic partner to senior leadership on data, analytics, and AI-enabled insightsCore Responsibilities Data Architecture & Analytics Platforms Define data and analytics requirements, standards, and target‑state architecture in collaboration with IT andenterprise architecture. Ensure data and AI solutions meet business requirements for scalability, security, and governance, incoordination with IT. Oversee data ingestion, transformation, and modelling to support analytics and reporting needs, with technicaldata pipeline development and engineering owned by IT. Analytics, AI & Decision Support Own the end‑to‑end AI use‑case lifecycle, including identification, prioritisation, business case development, value measurement, and adoption Develop dashboards, predictive models, and decision-support tools for investment, strategy, risk, and performance teams Lead the delivery of AI-enabled solutions, including advanced analytics, forecasting, and pattern detection Ensure AI use cases are aligned with business objectives and supported by reliable data foundations Technical build and platform operations are delivered jointly with IT and external partners Data Governance & Quality Ensure data quality, lineage, consistency, and transparency across enterprise systems Implement data standards, controls, and monitoring mechanisms to support governance and audit requirements Support responsible and ethical use of AI, including transparency, explainability, and appropriate human oversight Develop AI acceptable‑use guidelines, human‑in‑the‑loop principles, and AI literacy programmes in partnership with Risk, Compliance, and HR Stakeholder Collaboration & Enablement Partner with IT and business stakeholders to implement analytics and AI solutions Translate business needs into data and AI requirements and ensure solutions are adopted effectively Support strategic initiatives through advanced analytics and insight generationPeople & Capability Responsibilities Build and develop data and analytics capabilities across teams Establish knowledge-sharing practices, standards, and best practices for analytics and AI adoption Support capability uplift through training, tools, and data literacy initiativesKey Deliverables Enterprise data platforms and standardized analytics dashboards AI use cases supporting investment research, risk analysis, performance measurement, and strategic planning Data governance frameworks, policies, and standards Insight-driven support for strategic and investment initiativesRequirementsEducation & Qualifications Bachelor's or master's degree in data science, Computer Science, Engineering, Statistics, or a related fieldExperience Requirements 8-12 years of experience in data, analytics, or AI roles within complex organizations Experience within sovereign wealth funds, asset owners or investment managers strongly preferred Proven experience delivering enterprise analytics platforms and AI-driven solutions Strong understanding of data platforms, cloud-based analytics, and machine learning conceptsTechnical Expertise / Skills / Knowledge Data architecture, analytics platforms, and reporting tools AI and machine learning concepts and practical applications Data governance, quality management, and metadata practices Cloud-based data ecosystems and modern analytics stacks Strong ability to translate complex data insights into business-relevant outcomes Excellent stakeholder engagement and communication skills Show more Show less