Vice President AI Product - Work Smarter

About Us:

Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.

MIC has recognized that the next frontier in competitive advantage will be driven by the adoption of AI and Machine Learning technologies. In response, a new AI Enablement Unit is has been formed to lead the effort to define and implement an AI strategy and embed AI into the fabric of the MIC organization.

What you will do:

MIC has the ambition of embedding AI in everything that we do. As part of this journey, the AI Enablement Team is building an AI Product team that will deploy and maintain Generative AI and Machine Learning solutions to drive value creation across our business and corporate functions.

To meet this ambition, we are looking for an individual to lead the AI Product team during an exciting period of transformative change and growth; you will play a lead role in the deployment and maintenance of AI products to solve real world business challenges.

The responsibilities include building and embedding AI capabilities to drive value creation for our Corporate Platforms (Human Capital, Legal, Finance, Communications and other support functions). You will work closely with our internal technical teams to deploy enabling AI solutions – this will include driving technical sprint planning & delivery, training & change management activities.

• Set AI product strategy & roadmap: Translate business objectives into prioritized use cases with clear ROI and OKRs.
• Architect scalable AI solutions: Standardize patterns (RAG, agents, APIs) to reuse across Business and Corporate Platforms.
• Data Contracts: Define the right datasets; enforce governance, lineage, PII controls, and quality contracts with the data engineering team.
• Run model lifecycle & ML-Ops: Work closely with the AI Lab team to establish CI/CD, experiment tracking, evals, A/B tests, rollbacks, and model registries.
• Deliver through agile execution: Operate intake, scoping, sprint planning, manage dependencies and meet delivery SLAs.
• Ensure responsible, secure AI: Apply safety, bias, privacy, and legal reviews; set guardrails and human-in-the-loop flows.
• Drive change & enablement: Work closely with AI transformation team to publish playbooks, run training, measure adoption and track capability uplift.
• Measure value & performance: Define KPIs (accuracy, cycle time, adoption, $ impact); and iterate to targets.
• Govern build/buy & vendors: Evaluate platforms, negotiate contracts, manage costs, and ensure interoperability/exit plans.
• Align stakeholders & communicate: Partner with that AI strategy and transformation team to align exec sponsors and platform leads; run steering forums and surface delivery risks.
  
  

What will you bring:

To succeed within this role, you will bring a strong mix of practical experience, technical skills, and business skills, including the following:

AI Product Leadership Experience (5+ years)

• Demonstrated experience leading the development and delivery of enterprise AI/ML and GenAI products from concept through to production and adoption.
• Proven ability to define and own AI product strategy, vision and roadmap, translating business priorities into scalable product solutions.
• Experience successfully delivering multiple enterprise AI products and managing significant product budgets and investment decisions.
  
  

AI Technical Delivery

• Strong understanding of the end-to-end AI product lifecycle, with experience working across engineering, data science and technology teams in agile environments.
• Practical exposure to LLMs, RAG, agentic AI, data engineering and both cloud and on-premise environments.
• Strong understanding of MLOps practices, including CI/CD, model registries, evaluation frameworks, monitoring and rollback processes.
• Able to engage credibly with highly technical teams while translating technical considerations into clear product and business decisions.
  
  

Data, Security & Responsible AI Governance

• Experience embedding governance, security and Responsible AI principles throughout the AI product lifecycle.
• Demonstrated experience designing or implementing PII/privacy controls, model-risk processes, human-in-the-loop mechanisms and appropriate audit trails.
• Ability to balance innovation and speed of delivery with organisational policy, regulatory requirements and appropriate risk controls.
  
  

Enterprise Change & Stakeholder Management

• Proven experience driving adoption of AI products within complex enterprise environments, beyond initial development and deployment.
• Experience designing enablement programmes and supporting non-technical users in adopting AI-enabled ways of working.
• Strong track record of engaging executive sponsors and senior stakeholders, using clear metrics and narratives to communicate product performance, adoption and business impact.
• Ability to lead cross-functional teams and influence stakeholders across technology, business and corporate functions.
  
  

Commercial & Vendor Management

• Experience evaluating build-versus-buy decisions and managing relationships with technology vendors and external partners.
• Strong understanding of total cost of ownership and the commercial considerations associated with developing and scaling enterprise AI products.
• Demonstrated ability to connect AI investment decisions to measurable business outcomes and ROI across investment and corporate functions.
  
  

Knowledge & Capabilities

Problem Solving

• Proven ability to take complex or ambiguous business challenges, structure them into clearly defined problems and identify where AI can deliver meaningful value.
• Able to translate technical solutions and analytical outputs into practical recommendations for non-technical and senior stakeholders.
  
  

Leadership & Change Management

• Enterprise change & stakeholder management: proven ability to build enablement programs, train non-technical users, and engage with executive sponsors using metrics and narratives.
• Team leader and team player: high standards of business ethics, with a track record of motivating teams to deliver, innovate, and continuously improve.
  
  

Core Competencies & Attributes

• Communication & Collaboration: excellent verbal and written communication skills; able to influence at all levels and build strong partnerships within and outside Mubadala.
• Curiosity & Critical Thinking: intellectually curious with a bold, analytical approach to solving ambiguous or high-impact business problems using AI and advanced analytics.
• Resilient, business-savvy problem solver with credibility across both technical and business domains.
  
  

Most importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.

What we offer:

A superior platform to grow your career including:

• Making a difference with a social and financial impact
• Great working environment with talented colleagues
• Market leading pay and benefits including performance pay
• Hybrid working and wellness benefits to help you live your best work and private life
• Opportunity to grow and develop through learning and experience
• Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.
  
  

Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic, and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.

Key Indicators:

Location: Abu Dhabi

Flexible Working: Remote working up to 5 days a month