> Markdown version of [/jobs/ext/1393519-product-owner-a-i](https://www.wearedevelopers.com/jobs/ext/1393519-product-owner-a-i). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Product Owner A.I

- **Company:** ARCHIMED SAS
- **Location:** Lyon, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Documentation, Information Technology, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=5e2b2975b359abb0

## About the Role

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



## Related Videos

- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [Humanizing Your Documentation](https://www.wearedevelopers.com/videos/476-humanizing-your-documentation)
- [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post)
- [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned)
- [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes)
- [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions)

## Related Articles

- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Why Your AI Tool Fails After the Demo](https://www.wearedevelopers.com/magazine/704-why-your-ai-tool-fails-after-the-demo)