Associate Vice President - Workflow Automation

Rakbank; United Arab Emirates; On-site; AED 350,000 - 550,000; Full time

Job summary

Rakbank is seeking an Associate Vice President, AI Product Manager to lead the AI Lab's Internal Productivity squad, delivering AI products that boost knowledge, efficiency, and productivity across the enterprise. You will translate strategic priorities into a roadmap, manage a multidisciplinary squad, and collaborate with departments to capitalize on AI tooling and enterprise knowledge solutions.

A Bachelor's degree in CS/Engineering or related field and 6–7 years of experience, including at

Qualifications

• Bachelor's degree in CS/Engineering/IS/Business or related discipline
• 6–7 years of professional experience, with at least 3 years in product management or AI/data product delivery
• Hands-on experience delivering AI products end-to-end in an agile environment
• Working knowledge of generative AI and RAG patterns preferred
• Exposure to knowledge management or enterprise search is a plus

Responsibilities

• Define and own the product strategy and roadmap for the Internal Productivity squad based on enterprise knowledge engine and knowledge management capabilities
• Translate business problems into product opportunities, user stories, and measurable success criteria with a prioritized backlog
• Develop the bank's knowledge management system and enterprise knowledge engine including retrieval, search, and intelligent assistance experiences
• Identify opportunities like next-best-action models and recommendation engines powered by enterprise knowledge
• Lead AI enablement initiatives and create playbooks/templates to drive adoption and measurable productivity gains

Skills

AI Product Management

Product Ownership

Agile Methodologies

Knowledge Management

Enterprise Knowledge Engine

Leadership

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or Business

Tools

AI Platforms

Retrieval-Augmented Generation (RAG)

Enterprise Search

Job description

Job Description

The Associate Vice President, AI Product Manager leads the AI Lab's Internal Productivity squad. The role is accountable for delivering AI products that make the bank more knowledgeable, more efficient, and measurably more productive, with a primary focus on the bank's enterprise knowledge engine, its knowledge management capabilities, and the AI tools and platforms used across the organization. The role combines hands-on product leadership with squad management. It is responsible for translating strategic priorities into a clear roadmap, leading a multi-disciplinary squad through delivery, and partnering with departments across the bank to help them capitalize on AI tooling and realize meaningful productivity gains and cost reduction.

What You Will Do

Product Leadership and Roadmap

• Define and own the product strategy and roadmap for the Internal Productivity squad, anchored around the enterprise knowledge engine and the bank's knowledge management capabilities.
• Translate business problems and user pain points into clear product opportunities, user stories, and measurable success criteria. Maintain a prioritized backlog that balances customer value, technical health, and strategic ambitions.
• Knowledge Management and Enterprise Knowledge Engine
• Lead product development of the bank's knowledge management system and enterprise knowledge engine, including retrieval, search, and intelligent assistance experiences.
• Identify and shape adjacent opportunities such as next-best-action models, recommendation engines, and decision-support assistants powered by enterprise knowledge.
• Partner with knowledge owners, business SMEs, and content teams to ensure the engine is fed with high-quality, well-governed information.

AI Enablement, Tools, and Democratization

• Lead AI enablement initiatives across departments, helping teams adopt and capitalize on the AI tools and platforms rolled out by the AI Lab.
• Build playbooks, templates, and onboarding journeys that accelerate adoption and demonstrate measurable productivity gains and cost reduction.
• Drive the democratization agenda for AI inside the bank, expanding the population of confident, capable AI users across functions.
• Squad Leadership and Delivery
• Lead the squad through agile ceremonies including planning, refinement, stand-ups, reviews, and retrospectives.
• Take accountability for on-time delivery, release quality, and overall team health.
• Coach and develop squad members, set clear expectations, and remove blockers in partnership with the AI Delivery Lead and the Head of AI Lab.

Stakeholder Management.

• Build trusted relationships with department heads, function leads, and AI Champions across the bank.
• Run regular product reviews, demos, and adoption forums to communicate progress, capture feedback, and steer roadmap decisions.
• Translate technical progress into clear business outcomes for senior stakeholders.
• Cross-Functional Alignment
• Work closely with peer squads inside the AI Lab to share platform components, reusable assets, and design patterns.
• Align with Enterprise Architecture, Technology Delivery, Information Security, Risk, and Compliance to ensure responsible delivery.
• Operate as an active member of the bank's Agile community and contribute to the maturity of its product practice.

Decision-Making Authority

• Backlog prioritization and release scope for the Internal Productivity squad.
• Product design and user experience decisions within the agreed strategy and budget.
• Recommendations on AI tools, platforms, and partners for internal productivity use cases.
• Squad composition and resourcing recommendations in collaboration with the Head of AI Lab and the AI Delivery Lead.

What We Are Looking For

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline. A post-graduate qualification is welcome but not required.
• 6 -7 years of professional experience, with at least 3 years in product management, product ownership, or AI and data product delivery roles.
• Hands-on experience delivering technology or AI products end-to-end inside an agile environment.
• Working knowledge of generative AI, large language models, and retrieval-augmented generation (RAG) patterns is preferred.
• Exposure to knowledge management, enterprise search, intranet portals, or workplace productivity tooling is a plus.
• Experience leading or coordinating multi-disciplinary teams, formally or informally, is preferred.
• Banking or regulated industry experience is a plus but not mandatory; strong candidates from technology, consulting, or product-led companies will also be considered.

Technical Competencies and Proficiency Levels

• AI and Data Product Management: Expert
• Generative AI, Large Language Models, and RAG patterns: Advanced
• Agile Product Delivery and Backlog Management: Expert
• Knowledge Management and Enterprise Search: Advanced
• AI Tooling, Platforms, and Adoption Frameworks: Advanced
• Solution Design and Architecture Literacy: Intermediate to Advanced