AI Portfolio

For the Good of Tomorrow

Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.

Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 284+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.

Dubai Holding is looking to hire an AI Portfolio & Governance Manager. The role holder is responsible for supporting portfolio and delivery governance across the AI portfolio, using ServiceNow Strategic Portfolio Management (SPM) to enable the organisation’s AI Centre of Excellence (CoE). The role supports the governance of AI use cases, incoming pilots and AI-enabled products through the portfolio lifecycle, applying the agreed controls so that compliance, auditability and business case evidence are maintained at each gate.

The role coordinates between Portfolio Governance, the AI CoE, Product Management and delivery teams, in support of the AI portfolio's alignment with enterprise strategy and responsible AI principles and maintains SPM as the single source of truth.

Key Responsibilities:

ServiceNow SPM Support and Portfolio Enablement

• Apply working knowledge of ServiceNow SPM to support portfolio governance across the AI portfolio.
• Support teams in the day-to-day use of the Demand, Project, Funding and Cost modules, escalating complex queries appropriately.
• Apply agreed portfolio structures and classification consistently across all demands and projects.
• Act as a first point of contact for SPM processes, workflows and governance standards within the AI portfolio.
• Support continuous improvement of SPM data quality and reporting capability.

AI Portfolio Intake and Qualification

• Administer AI portfolio intake in SPM across IT and AI initiatives, checking submissions against agreed standards for business case evidence and categorization.
• Progress demands and projects through screening, qualification and approval, applying the agreed assessment and scoring criteria.
• Prepare qualified demands and projects for prioritization and funding decisions taken by the VP – Portfolio & Governance and relevant forums.
• Maintain the demand pipeline as a reportable asset, recording deferrals and rejections in line with agreed disposition rules.
• Process Demand-to-Project and Demand-to-Product conversion within SPM.

Delivery Governance Support, Controls and Compliance

• Maintain governance controls, project tasks, milestones and audit-ready documentation within SPM.
• Coordinate approvals, sign-offs and governance forum arrangements, tracking that demands and projects meet compliance and regulatory requirements.
• Prepare and maintain audit-ready documentation, including business requirement documents, UAT evidence and security approvals.
• Track project health by maintaining the RAID log — risks, issues, dependencies and change requests — and escalating items affecting delivery commitments.
• Maintain the AI portfolio within SPM on a daily basis, ensuring project information, milestones, risks and status updates remain current and accurate.
• Check the completeness and accuracy of portfolio data, including cost and funding records, and elevate discrepancies for resolution.
• Conduct data quality reviews across the AI portfolio.

Execution, Closure and Benefits Tracking

• Support execution and closure by checking completion criteria, collating acceptance sign-offs, and recording benefits tracking and lessons learned.
• Track the approved business case from demand through to delivered project and closure, flagging variances to the VP – Portfolio & Governance.
• Monitor demands and projects through to benefits realization and review business case documentation for completeness and quality.
• Apply the end-of-life policy, supporting product and business owners through the decommissioning process when a product or asset is no longer in use.

Stakeholder Engagement and Reporting

• Support alignment with product-led delivery models across the AI portfolio.
• Track dependencies across data, models and delivery.
• Track and report on the transition of AI outputs into live products and workflows.
• Promote consistent use of SPM as the single source of truth for portfolio data.
• Coordinate across the AI CoE, Product Management