Associate Vice President - Workflow Automation

Role Overview

Associate Vice President, Workflow Automation at RAK Bank. The role leads the AI Lab's Internal Productivity squad, accountable for delivering AI products that enhance the bank's knowledge management, efficiency, and productivity.

Company Overview

Part of RAK Bank's AI Lab, the Internal Productivity squad operates within a multi-disciplinary, agile environment focused on enterprise knowledge and AI-driven productivity solutions.

Role Purpose

To lead the design, delivery, and adoption of AI products that make the bank more knowledgeable, efficient, and measurably more productive, with primary focus on the enterprise knowledge engine, knowledge management capabilities, and AI tools and platforms used across the organization. The role combines hands-on product leadership with squad management, translating strategic priorities into clear roadmaps and helping departments capitalize on AI tooling to realize meaningful productivity gains and cost reduction.

Key Responsibilities

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 subject matter experts, 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

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

Qualifications & Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline; post-graduate qualification 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.

Skills & Competencies

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