Data & AI Manager

Emirates Investment AuthorityUnited Arab Emirates3 days ago

Full-timeOther

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Purpose

The Data & AI Manager is responsible for defining and executing EIA's data, analytics, and artificial intelligence agenda to

enable data-driven decision-making across investment and corporate functions.

Operating within a sovereign wealth fund context, the role focuses on building scalable data platforms, advanced

analytics capabilities, and AI use cases that support investment performance, risk management, strategic planning, and

operational efficiency, while ensuring strong governance, data quality, and responsible AI use. The role focuses on AI and

analytics 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 insights

Core Responsibilities

Data Architecture & Analytics Platforms
Define data and analytics requirements, standards, and target‑state architecture in collaboration with IT and

enterprise architecture.

Ensure data and AI solutions meet business requirements for scalability, security, and governance, in

coordination with IT.

Oversee data ingestion, transformation, and modelling to support analytics and reporting needs, with technical

data 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 generation

People & 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 initiatives

Key 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 initiatives

Requirements

Education & Qualifications

Bachelor's or master's degree in data science, Computer Science, Engineering, Statistics, or a related field

Experience 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 concepts

Technical 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

Key Skills

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