Manager – Product Management (Corporate AI)

Role overview

Discovery and product delivery

• Engage executive and corporate users to understand needs, decision workflows, and pain points; translate findings into product definitions, user stories, and acceptance criteria.
• Run structured discovery and experimentation to validate value and feasibility before build commitments; identify workflow automation opportunities for the roadmap.
• Own assigned AI products from definition through launch; manage backlog, sprint priorities, and release planning with the delivery squad.
• Ensure quality, usability, and release readiness for senior users; decide delegated backlog, sprint, and release priorities, escalating scope, roadmap, or cross-product dependencies.

Adoption and value

• Improve products after launch based on usage data and user feedback; manage support, issue triage, and enhancement prioritization.
• Work with Change Management to onboard users, build confidence, sustain adoption, and intervene when usage or confidence declines.
• Define and report KPIs covering adoption, usage, accuracy, satisfaction, and time saved; document business value with corporate function owners.
• Identify risks, dependencies, and performance gaps; implement mitigations and contribute to business cases and investment proposals.

Governance and collaboration

• Register and maintain AI use cases within the agreed portfolio process; meet Group AI, data protection, confidentiality, and information security requirements.
• Work with IT GRC, Data Protection, and AI Legal on product controls; document decisions, assumptions, and model or agent behavior.
• Coordinate with engineering, data, platform, and cybersecurity teams; align technical feasibility, business objectives, and delivery timelines.
• Serve as the day-to-day product interface for executive and corporate stakeholders and communicate progress, trade-offs, and constraints clearly.

Experience and education

• 3–6 years in digital or AI product management, product ownership, or equivalent delivery roles.
• Demonstrated end-to-end product ownership from requirements through launch and iteration; exposure to AI, automation, or data-driven products.
• Bachelor’s degree in a quantitative field such as information technology, business, finance, engineering, or mathematics.
• Experience with senior or executive stakeholders is advantageous.

Technical competencies

• Hands-on product management across discovery, delivery, and lifecycle; solid product discovery and experimentation capability.
• Experience using data to inform decisions and measure product performance.
• Familiarity with AI-enabled and agentic products and their limitations, including evaluation and human oversight.
• Ability to write clear requirements, user stories, and acceptance criteria; experience with agile squads and prioritized backlogs.
• Familiarity with Group AI, data protection, and information security requirements in product delivery.

Behavioral competencies

• Ownership, personal accountability, customer orientation, and sound judgment with senior and highly visible stakeholders.
• Effective stakeholder management, influencing, clear communication, execution focus, adaptability, continuous learning, and collaboration.

Education and certification

• A bachelor’s degree in a quantitative field is required.
• Product management or agile certification is advantageous.

Workplace

• The role is at the corporate office.