AI Product Owner – AI Workflow Platform

Job title:  AI Product Owner – AI Workflow Platform

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

We are seeking an AI Product Owner to lead a centralized Sanofi workflow execution platform supporting AI, analytics, and domain research workflows across R&D.

This role owns the core platform responsible for orchestrating containerized and distributed workloads across cloud and high-performance computing (HPC) environments. The platform integrates with enterprise research data systems and serves as the foundation for downstream AI/ML, Omics, Chemistry, CMC, Portfolio, and Clinical workflows.

You will partner closely with platform engineers, infrastructure teams, and scientific stakeholders to ensure the platform is scalable, reliable, compliant, and easy to build on. This is a foundational platform ownership role.

About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

Product Ownership

• Own the roadmap and backlog for the Sanofi workflow execution platform.

• Define requirements for workflow orchestration, runtime execution, APIs, metadata, logging, and observability.

• Balance platform reliability, scalability, and technical evolution with new capability development.

• Translate domain and engineering needs into clear, actionable product requirements.

Platform Integration

• Define and manage integration between the workflow platform and enterprise research data systems.

• Ensure clean contracts for data access, metadata exchange, lineage, and governance.

• Partner with security, infrastructure, and data teams to ensure enterprise-grade compliance and access control.

HPC & Distributed Compute Enablement

• Own product requirements for large-scale compute execution across cloud and hybrid HPC environments.

• Define user experience for launching, monitoring, and troubleshooting compute-intensive workloads.

• Partner with infrastructure teams to align workload requirements with resource and cost models.

Delivery & Execution

• Lead agile product delivery in partnership with engineering and Scrum leadership.

• Maintain a clear, prioritized backlog aligned to strategic objectives.

• Coordinate platform maintenance, operational support, and release planning.

• Proactively manage cross-team dependencies and platform sequencing risks.

Continuous Improvement

• Monitor platform adoption, stability, and operational metrics.

• Incorporate user feedback to improve usability and performance.

• Ensure the platform evolves to support expanding AI and domain-specific workloads.

About You

Key Requirements

Experience

• 5+ years of experience in Product Management or Product Ownership, ideally in platform, infrastructure, or scientific computing environments.

• Experience delivering products used by technical or scientific users.

• Familiarity with cloud platforms (e.g., AWS) and distributed systems.

• Experience with workflow orchestration, containerized workloads, or HPC environments is strongly preferred.

• Proven ability to manage cross-functional dependencies in complex enterprise settings.

Technical Skills

• Strong understanding of Agile methodologies and Scrum-based delivery.

• Familiarity with APIs, platform architecture, observability, and operational resilience.

• Experience with data platforms, ML workflows, or regulated systems is a plus.

Soft Skills

• Clear product vision articulation and strategic thinking.

• Strong stakeholder management across engineering, science, and leadership.

• Ability to operate effectively in complex, fast-paced environments.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

• Advanced scientific or computational background is a plus.

Why This Role Matters

This role owns the platform that enables scalable, AI-ready workflow execution. Success means delivering a stable, extensible foundation that accelerates innovation across research domains without compromising reliability or compliance.

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team. 

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. 

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. 

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.