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. 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. About this role:

Sanofi is on a bold mission to become an AI-enabled biopharma company. At the heart of this ambition is the need for data that is understood, trusted, and safe. The Unstructured Data AI-Readiness Product Owner will be a key driver of this mission, owning the full lifecycle of products that govern unstructured and semi-structured data to ensure Sanofi’s GenAI and Agentic AI products are built on a solid, governed data foundation. This role sits within the Data, AI and Governance Platforms organization and reports directly to the Head of Data Governance Products Line. Main Responsibilities:

Own the end-to-end product vision, discovery, roadmap, and strategy for unstructured / semi-Structured Data Governance products and related tools. Support design extension of Sanofi’s AI-Ready Data Framework to unstructured / semi-structured data sources and align product direction with developed standards. Act as the key decision-maker and business-accountable owner for delivering value to internal customers and stakeholders. Define, refine, and prioritize the product backlog in close collaboration with engineering, data architecture, and business teams.



Translate business and governance requirements into clear, actionable user stories and acceptance criteria. Partner with Agile Delivery Leads and development squads to ensure timely, high-quality delivery of product increments. Drive continuous improvement across the product development lifecycle. Stakeholder Engagement

Serve as the primary liaison between business stakeholders, data governance teams, and technical delivery teams. Engage with Data Management Leads (DMLs), Data & AI platform teams, and data consumers to gather requirements and validate solutions. Communicate product Progress, risks, and outcomes clearly to senior leadership including the Head of Data Governance Product Line. Data Governance & AI Readiness

Ensure products support the operationalization of AI-Ready Data standards for unstructured and semi-structured content (Sharepoint, technical docs, formats such as PDFs, DOCX, PPTX, images, audio/video). Drive adoption of governance controls across unstructured data processing pipelines, including data cataloging, metadata extraction, data quality checks, and risk classification. Collaborate with Data Architecture and AI Platform teams to ensure seamless integration with platforms such as Snowflake, AWS S3, OneMesh, and downstream AI systems. Champion the application of least-privilege access principles and data security standards across governed data assets. Product Performance & Adoption





Define and track product KPIs and adoption metrics (e.g., via the AI-Ready Data Adoption KPI Dashboard). Use data-driven insights to inform prioritization decisions and demonstrate product value. Support change management and user enablement to drive adoption across Sanofi’s business units. About You

Required Qualifications:

BS – Data Science, Engineering, Life Sciences or related field – required. 5+ years of experience in digital product management Demonstrated experience owning products in a data, AI, or analytics domain, with a track record of delivering measurable business value Familiarity with unstructured and semi-structured data governance concepts, including metadata management, data cataloging, data classification, and access control frameworks Experience working in Agile/Scrum environments with cross-functional squads, including engineering, architecture, and UX teams Knowledge of GenAI, Agentic AI, or up-to-date data platforms (Snowflake, AWS S3, data catalogs) is a strong advantage Experience in the pharmaceutical, life sciences, or regulated industry is an advantage Required Skills and Competencies

a) Technical Skills

Solid working understanding of unstructured data pipeline technologies, cloud storage frameworks, data governance principles such as data cataloging, and metadata capture, data quality, data risk controls, enabling credible engagement with engineering and architecture teams without being a hands-on developer. Ability to drive 0 to 1 product design and build decisions by conducting user research, defining personas, and collaborating with UX/UI Designers to ensure governance workflows are intuitive for data stewards and business users. b) Function

📌 Product Owner – AI Ready Unstructured Data Governance (Winnipeg)
🏢 BioTalent Canada
📍 Winnipeg