AI Product Owner

AI Product Owner — MR Digital Remote and AI Team (MR Service)

Your Role:

• Owns the product vision and roadmap for assigned AI use cases within MR Service Innovation, aligning each to programme strategy and measurable business outcomes.
• Discovers, frames, and validates AI opportunities by analysing service, contract, and case-level data to confirm the problem is real, sized, and worth solving before build begins.
• Builds and maintains the business case for each initiative — quantifying impact, cost, ROI, and risk — and supports prioritisation decisions across the AI portfolio.
• Elicits, documents, and prioritises requirements; writes clear epics, user stories, and acceptance criteria that translate business needs into actionable work for data science and engineering teams.
• Owns and continuously refines the product backlog, balancing business value, delivery complexity, data readiness, and regulatory considerations.
• Defines success metrics and KPIs for each AI product, and tracks value realisation and adoption post-deployment, feeding learnings back into the roadmap.
• Partners closely with data scientists, ML/data engineers, and external delivery partners to ensure solutions are feasible, well-scoped, and delivered to agreed outcomes.
• Acts as the primary liaison between business stakeholders and the delivery team, managing expectations, sequencing decisions, and keeping stakeholders aligned through delivery.
• Ensures AI products are trustworthy and fit for a regulated healthcare context — addressing explainability, human oversight, data integrity, and compliance with relevant quality and regulatory requirements.
• Maps and analyses current-state business processes and data flows to identify automation, prediction, and optimisation opportunities along the AI maturity ladder.
• Drives adoption through clear communication, stakeholder enablement, and change management, ensuring delivered capability is used and sustained.
• Continuously evaluates the market, competitive landscape, and emerging AI techniques to inform product direction and recommend improvements.

You Are a Great Fit If:

• A Master’s degree or Bachelor's Degree in Business, Engineering, Computer Science, Data Analytics, or equivalent / MBA preferred.
• Minimum 10 years of relevant experience, including demonstrable experience in product management and/or business analysis for data, analytics, or AI/ML products.
• Experience working in agile delivery teams and translating business problems into technical requirements is required.
• Experience in a regulated industry (healthcare, medical devices, automotive, or similar) and exposure to AI/ML product delivery is strongly preferred.)
• Demonstrated research mindset, such as publications, workflow improvements, or new modelling techniques.

You will stand out if you also have:

• Product management (e.g. CSPO/Pragmatic) or business analysis (e.g. CBAP/IIBA) certification is a plus.

How we work together:

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

• Onsite roles require full-time presence in the company’s facilities. 
• Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
• This role is an office-based role.
   

About Philips:
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

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