Associate Vice President - Customer and Strategic Analytics - Apply

Rak Bank Career Site
AE
Career-pivot friendly

Why this role

Pace
Steady
Collaboration
High
Autonomy
High
Decision Impact
Team
Role Level
Team Lead
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • on-time delivery
  • measurable productivity gains
Typical background
6-7 years of professional experience in product management or AI product delivery

Transferable backgrounds

  • Coming from product owner
  • Coming from AI product manager

Skills & requirements

Required

Product Strategy And RoadmapKnowledge ManagementAI EnablementAgile MethodologiesStakeholder Management

Preferred

Large Language ModelsRecommendation Engines

Stack & domain

Product ManagementAIAgileKnowledge ManagementSearchRecommendation EnginesDecision-support AssistantsCommunicationLeadershipStakeholder ManagementBanking

About the role

Original posting from Rak Bank Career Site

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

What We Are NOT Looking For:

❌ Delivery‑only or project management people❌ Pure research, engineering, or data science candidates❌ Theoretical or superficial AI exposure❌ Low stakeholder‑engagement or siloed operators

What’s In It for You

  • Pay for performance culture (Competitive and performance-linked compensation)
  • Diverse workforce and inclusive culture
  • Career development and growth opportunities by design
  • Work with the best minds in the field
  • Get opportunities to bring your whole self to the organization and perform to your best!

Source: Rak Bank Career Site careers

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