AI Product Owner – AI Workflow Platform

SanofiCambridge, MA
1dOnsite

About The Position

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.

Requirements

  • 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.
  • Strong understanding of Agile methodologies and Scrum-based delivery.
  • Familiarity with APIs, platform architecture, observability, and operational resilience.
  • Clear product vision articulation and strategic thinking.
  • Strong stakeholder management across engineering, science, and leadership.
  • Ability to operate effectively in complex, fast-paced environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

Nice To Haves

  • Experience with data platforms, ML workflows, or regulated systems is a plus.
  • Advanced scientific or computational background is a plus.

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.
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