Mubadala Investment Corporation (MIC) — a global investor wholly owned by the Government of Abu Dhabi with over USD $300 billion in assets under management, five global offices, and investments in 50+ countries — is building a new AI Enablement Unit to lead the definition and implementation of an enterprise-wide AI strategy. To lead this unit’s AI Product team, MIC is seeking a Vice President of AI Product who will play a principal role in deploying and maintaining Generative AI and Machine Learning solutions that drive value creation across investment and corporate functions including Human Capital, Legal, Finance, and Communications. The role requires 5+ years of AI Product Leadership experience delivering enterprise AI/ML and GenAI products from concept through production, deep expertise in LLMs, RAG, agentic AI, MLOps, responsible AI governance, and proven capability to align executive sponsors, lead cross-functional teams, and translate complex AI capabilities into measurable business outcomes at the scale of a world-class global investment organization.
About Mubadala Investment Corporation — Abu Dhabi’s Global Sovereign Wealth Fund
Organization: Mubadala Investment Corporation (MIC) — owned by the Government of Abu Dhabi | USD $300BN+ Assets Under Management | 5 global offices | Business investments in 50+ countries
Mission: Innovate and invest across the world to create lasting value for shareholders, partners, and future generations — now including AI as the next frontier of competitive advantage
AI Enablement Unit: Newly formed organizational unit leading the definition and implementation of MIC’s enterprise AI strategy — embedding AI into investment processes, corporate platforms, and operational workflows across the global organization
AI Product Team Scope: Deploy and maintain GenAI and ML solutions across Corporate Platforms — Human Capital · Legal · Finance · Communications · and all core support functions
Values: Accountability · Inspiration · Integrity · Partnership — across a diverse, energetic, and forward-thinking hybrid working environment
What Mubadala Offers — Why This Is a Career-Defining Role
Financial Impact: Market-leading pay and benefits including performance pay — commensurate with VP-level responsibility at a $300BN global sovereign wealth fund
Mission Impact: Contribute directly to the AI transformation of one of the world’s most significant and consequential investment organizations — with genuine social and financial impact at national scale
Hybrid Working: Abu Dhabi-based with remote working up to 5 days per month — a genuine hybrid model with wellness benefits to support both professional and personal excellence
Career Growth: Superior platform for career development through learning, experience, and the extraordinary professional exposure that comes from leading AI product at a globally recognized Abu Dhabi sovereign wealth fund
Culture: Excellent working environment with talented colleagues — diverse, energetic, intellectually demanding, and values-driven across the full MIC organization
Why This Mubadala VP AI Product Role Is the Most Prestigious AI Leadership Career in Abu Dhabi 2026
$300BN Sovereign Wealth Fund: Leading AI product at Mubadala Investment Corporation — a $300BN sovereign wealth fund owned by the Abu Dhabi government with investments across 50+ countries — is one of the most professionally prestigious AI product leadership positions available anywhere in the MENA region in 2026
Enterprise-Wide AI Transformation: The VP of AI Product at MIC owns the AI product strategy, roadmap, delivery, and governance for the entire Mubadala organization — a scope of AI product leadership that touches every function from investment to HR, legal, finance, and communications at global scale
Nation-Level AI Significance: Mubadala’s role as a cornerstone of Abu Dhabi’s economic strategy means that leading its AI transformation contributes to the UAE’s national AI leadership ambitions in a tangible, consequential, and professionally historic way
Tax-Free Abu Dhabi: Market-leading VP compensation — zero personal income tax in Abu Dhabi, UAE
Position Overview — Lead Mubadala’s AI Product Team
This Vice President of AI Product role at Mubadala Investment Corporation in Abu Dhabi is a full-time, senior leadership position responsible for building, leading, and scaling the AI Product team within MIC’s newly formed AI Enablement Unit. You will set the AI product strategy and roadmap — translating business objectives into prioritized use cases with clear ROI and OKRs; architect scalable AI solutions by standardizing patterns (RAG, agents, APIs) for reuse across Business and Corporate Platforms; define data contracts with data engineering teams covering governance, lineage, PII controls, and quality standards; run model lifecycle and MLOps including CI/CD, experiment tracking, A/B tests, rollbacks, and model registries; deliver through agile sprint planning; ensure responsible, secure AI through safety, bias, privacy, and legal reviews with human-in-the-loop guardrails; drive enterprise change through playbooks, training, and adoption measurement; define KPIs (accuracy, cycle time, adoption, dollar impact); govern build/buy and vendor decisions; and align executive sponsors and platform leads through steering forums and clear performance narratives. The role requires 5+ years of enterprise AI product leadership, deep LLM and GenAI technical credibility, proven responsible AI governance experience, and the stakeholder management skills to drive AI adoption across a complex global investment organization.
Why This Mubadala VP AI Product Role Is the Most Consequential AI Leadership Career of 2026 in the UAE: Senior AI product leaders with 5+ years of enterprise AI/ML and GenAI product leadership experience — who combine proven ability to define and own AI product strategy and roadmap, practical expertise across LLMs, RAG, agentic AI, and MLOps, demonstrated responsible AI governance and PII/privacy control implementation experience, proven enterprise change management and executive stakeholder alignment capability, and the commercial intelligence to connect AI investment decisions to measurable business outcomes — are exceptionally rare in the global market and are exactly the profile that Mubadala’s AI Enablement Unit needs to lead its transformative AI product programme at one of the world’s most significant sovereign wealth funds. The combination of institutional prestige, scope of organizational impact, national significance, and market-leading compensation makes this the most career-defining AI product leadership opportunity available in Abu Dhabi in 2026.
Key Responsibilities
AI Product Strategy, Roadmap & ROI Prioritization
- Set AI product strategy and roadmap — translating Mubadala’s specific business objectives across investment, finance, legal, HR, and communications functions into a clearly prioritized AI use case portfolio with explicit ROI projections, OKR-linked success metrics, and a sequenced delivery roadmap that matches organizational change capacity with the pace of AI capability deployment, ensuring that the AI product programme consistently delivers measurable business value rather than accumulating technically impressive but commercially unproven AI capabilities
- Architect scalable, reusable AI solution patterns — standardizing RAG, agent, and API architectural patterns that can be deployed consistently across Business and Corporate Platforms rather than being rebuilt for each individual use case, developing the AI solution architecture playbook that allows Mubadala’s engineering and product teams to deliver new AI capabilities faster and with higher quality by building on proven, governed, security-reviewed patterns rather than novel architectures for each project
- Define data contracts and governance with the data engineering team — establishing the specific dataset requirements, data quality standards, lineage documentation requirements, PII controls, retention policies, and access governance standards that ensure AI models are trained and operated on data that is accurate, appropriately controlled, and compliant with Mubadala’s regulatory obligations and internal governance policies
- Govern build-versus-buy decisions and manage vendor relationships — applying rigorous vendor evaluation methodology, total cost of ownership analysis, interoperability assessment, and exit planning discipline to AI platform and tool procurement decisions, ensuring that Mubadala’s AI technology investments are strategically sound, commercially competitive, and free from problematic vendor lock-in that could constrain future AI strategy flexibility
MLOps, Model Lifecycle & Agile AI Delivery
- Run model lifecycle and MLOps in collaboration with the AI Lab team — establishing the CI/CD pipelines, experiment tracking infrastructure, evaluation frameworks, A/B testing protocols, rollback procedures, and model registry governance that transform ad-hoc AI model development into a disciplined, repeatable, and reliably governed production AI engineering practice, ensuring that AI models deployed into Mubadala’s business workflows perform consistently and can be monitored, updated, and rolled back efficiently when performance issues arise
- Deliver through agile execution and sprint planning — operating the AI product intake process, use case scoping methodology, sprint planning cadence, dependency management discipline, and delivery SLA governance that keeps the AI product team delivering consistently against its roadmap commitments, managing the specific delivery complexity of AI projects (data dependency, model performance variability, integration complexity) within the structured Agile framework that enterprise delivery requires
- Define and track AI product KPIs — establishing the specific performance metrics (model accuracy, latency, cycle time reduction, user adoption rate, $ cost saving impact, compliance breach rate) that make AI product performance visible, objectively assessable, and continuously improvable, reporting performance against targets to executive steering committees with the clarity and analytical rigor that Mubadala’s leadership expects from a world-class investment organization’s senior executives
Responsible AI, Security, Privacy & Governance
- Ensure responsible, secure AI across all Mubadala AI products — applying safety reviews, bias assessments, privacy impact analyses, legal compliance checks, and human-in-the-loop control implementations throughout the AI product lifecycle, ensuring that every AI system deployed within Mubadala’s organization meets the responsible AI standards appropriate for a government-owned sovereign wealth fund operating across 50+ countries under multiple regulatory regimes
- Design and implement PII controls, model-risk processes, and audit trails — developing the specific technical and governance mechanisms that protect personal data within AI systems, manage the model risk implications of AI-assisted decision-making in investment and HR contexts, and maintain the comprehensive audit trails that regulatory examination and internal governance review require for AI systems operating in a financially regulated environment
- Balance innovation speed with organizational policy and regulatory compliance — applying the experienced judgment that distinguishes effective enterprise AI product leaders from technically skilled but governance-naive AI engineers: moving fast enough to deliver AI value before competitive and organizational pressure to demonstrate results erodes support, while maintaining the compliance, security, and governance standards that Mubadala’s position as a government-owned financial institution demands
Enterprise Change Management, Enablement & Executive Alignment
- Drive AI adoption and change management in collaboration with the AI transformation team — designing and delivering the enablement programmes, training materials, user support resources, adoption monitoring frameworks, and capability uplift measurement approaches that help Mubadala’s non-technical employees across Human Capital, Legal, Finance, and Communications functions confidently adopt and productively use the AI tools that the AI Product team deploys
- Align executive sponsors and platform leads through steering forums and clear performance narratives — managing the senior stakeholder engagement, executive communication, and steering committee governance that keeps Mubadala’s business function leaders and C-suite executives informed, aligned, and confident in the AI product programme’s direction, performance, and business value delivery
- Lead cross-functional teams across technology, business, and corporate functions — exercising the leadership influence, collaborative relationship quality, and organizational navigation capability that enables effective delivery of AI products in a complex, multi-stakeholder enterprise environment where formal authority over all contributing teams is limited but delivery accountability is absolute
Qualifications & Requirements
AI Product Leadership Experience
- 5+ years of demonstrated experience leading the development and delivery of enterprise AI/ML and GenAI products — from concept through to production deployment, user adoption, and measurable business impact at organizations of significant scale and complexity
- Proven ability to define and own AI product strategy, vision, and roadmap — translating business priorities into scalable, commercially justified AI product investment decisions with clear ROI and OKR frameworks
- Track record of successfully delivering multiple enterprise AI products and managing significant product budgets and vendor relationships
- Strong understanding of the end-to-end AI product lifecycle — working credibly across engineering, data science, and technology teams in agile enterprise delivery environments
Responsible AI & Governance
- Demonstrated experience embedding governance, security, and Responsible AI principles throughout the AI product lifecycle in enterprise environments with significant regulatory and reputational accountability
- Experience designing or implementing PII/privacy controls, model-risk processes, human-in-the-loop mechanisms, and appropriate audit trails for AI systems in regulated or high-accountability organizational contexts
About Mubadala’s AI Transformation & Enterprise AI Product Leadership in Abu Dhabi 2026
Mubadala Investment Corporation‘s recognition that AI and machine learning represent the next frontier of competitive advantage — and its decision to form a dedicated AI Enablement Unit to define and embed AI into the entire fabric of the organization — reflects the seriousness and ambition with which Abu Dhabi’s most important financial institution is approaching the AI transformation that will define competitive positioning in global investment management for the next decade. The VP of AI Product who joins Mubadala’s AI Enablement Unit in 2026 will be building the AI product capability of a $300 billion global investment organization from the ground up — defining the strategy, building the team, deploying the solutions, driving the adoption, and measuring the value in a way that has the potential to genuinely transform how one of the world’s most consequential sovereign wealth funds operates. This is not an incremental AI product role. It is the kind of founding, defining, career-shaping AI product leadership appointment that is available perhaps once in a generation in any given market — and it is available in Abu Dhabi, at Mubadala, in 2026, to the right candidate.
Your Career Growth Path: Vice President AI Product → Senior Vice President AI & Data → Chief AI Officer — Mubadala / Government Entity → Global Chief AI Officer — a nationally significant, globally recognized, and professionally defining AI product leadership career trajectory built at the absolute pinnacle of the UAE’s sovereign wealth, investment, and AI transformation ecosystem.
Who Should Apply?
- Senior AI Product Directors — Ready for VP Step: With 5+ years of enterprise GenAI product leadership, proven MLOps delivery, and demonstrated responsible AI governance experience who want a VP-level appointment at one of the world’s most prestigious sovereign wealth funds
- Head of AI Product — Financial Services / Investment: Currently leading AI product at a bank, asset manager, or financial services organization who want to apply their sector expertise and AI product leadership in Mubadala’s global investment and corporate platform transformation
- Enterprise AI Transformation Leaders: With proven track records of driving AI adoption within complex, multi-stakeholder enterprise environments — including executive stakeholder management, change enablement programme design, and AI KPI framework implementation — who want to lead Mubadala’s end-to-end AI product function
- Senior AI/ML Product Managers — Government & Sovereign Context: With experience delivering AI products within government-owned or regulated institutional contexts — where responsible AI, audit, and compliance standards are as important as innovation speed — who want a VP-level AI product leadership role at MIC
- AI Strategy & Product Leaders — Global Investment Experience: From international investment management, private equity, or sovereign wealth fund backgrounds who combine deep enterprise AI product capability with the investment domain understanding that leading AI transformation at Mubadala’s scale and complexity requires
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