AI Product Owner (Lyon, France)

Location : Lyon, France

About [REDACTED]

With offices in Europe, North America and Asia, [REDACTED] is a leading investment firm focused exclusively on healthcare industries. Its mix of operational, medical, scientific and financial expertise allows [REDACTED] to serve as both a strategic and financial partner to healthcare businesses. Prioritized areas of focus include Biopharma Products, Consumer Health, Healthcare IT, In Vitro Diagnostics, Life Science Tools and Biologic Services, MedTech, and Pharma Services.

[REDACTED] helps partners internationalize, acquire, innovate and expand their products and services. [REDACTED] manages €8 billion across its various funds, including the largest healthcare-only private equity fund raised by a European-based General Partner. Since inception, [REDACTED] has been a committed Impact investor, both directly and through its [REDACTED].

The Team

• An international team (with more than 38 nationalities) with complementary education and experience in investment, medical, scientific, strategic and operational sectors
• Composed of alumni from: INSEAD, Berkeley, Georgetown, Bocconi, HEC Paris, Ponts et Chaussées, ESSEC, Imperial College, Dartmouth, etc.
• Professional backgrounds: Private Equity, Consulting ([REDACTED], [REDACTED], [REDACTED]), MandA ([REDACTED], [REDACTED], [REDACTED], [REDACTED]), Industry

Requirements

Location: Lyon, France

Contract: Permanent (CDI)

As part of [REDACTED]'s Information Systems Department (ISD), reporting directly to our Data/AI Manager, you will drive the development and deployment of Artificial Intelligence solutions across the firm. Acting as the bridge between technical teams, business stakeholders, and the Data/AI leadership, you will ensure that AI initiatives are delivered with strategic alignment, operational rigor, and measurable impact.

Key Responsibilities

1. Product Development and Strategic Alignment

   • Collaborate on defining the product vision and roadmap for AI initiatives, in close alignment with firm priorities.
   • Translate & challenge business needs into clear, actionable product requirements and user stories
   • Ensure AI solutions deliver measurable value and are adopted effectively across business lines

2. Backlog Management

   • Own, prioritize and continuously refine the product backlog in collaboration with business & development teams
   • Ensure delivery cadence is maintained and risks are proactively escalated

3. Business Partnering and Change Management

   • Act as the primary point of contact for business stakeholders, gathering needs, managing expectations and driving adoption
   • Support business teams in understanding AI capabilities and in defining use cases with high ROI potential
   • Lead change management efforts to ensure smooth integration of AI tools into existing workflows
   • Manage & develop support materials

4. AI Expertise and Innovation

   • Maintain an up-to-date knowledge of AI/ML trends, tools and best practices relevant to company’s needs
   • Evaluate new AI solutions and vendors, providing informed recommendations to the ISD leadership
   • Ensure responsible AI principles (explainability, fairness, data privacy …) throughout product development & usage

5. Coordination and Governance

   • Coordinate cross-functional teams (Compliance, Cyber, Business) to ensure end-to-end delivery
   • Define and monitor KPIs to track product performance and adoption
   • Contribute to AI governance frameworks, documentation standards and reporting to senior stakeholders

Profile and Qualifications

• Education: Master's degree in Computer Science, Data Science, Engineering, Business or a related field
• Experience: Minimum 5 years as a Product Owner or Product Manager, with at least one significant AI or data-driven product deployment
• Solid understanding of AI, data pipelines and modern development methodologies & technologies
• Proven ability to translate complex technical concepts into business language and vice versa
• Strong stakeholder management skills, with experience working across technical and non-technical teams
• Analytical mindset with a structured, problem-solving approach
• Excellent written and verbal communication skills in English (French is a plus)
• Experience in financial services, private equity or healthcare is a plus