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Sanofi

Product Owner - AI Ready Unstructured Data Governance

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 7, 2026
Experience: 5+ years of experience in digital product management
Posting language: English
Posted: Sep 30, 2026

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Original job description

Reference No. R2871852

Position Title:  Product Owner - AI Ready Unstructured Data Governance

Location: Toronto, ON

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.

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.

*Hybrid - 3 days per week onsite - required. *

Main Responsibilities:
Product Vision & Strategy

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.

Backlog & Delivery

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 YouRequired 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 modern 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) Functional Skills

Ability to autonomously lead backlog refinement, sprint planning, and review ceremonies across a complex, multi-stakeholder governance product portfolio, fostering a culture of transparency and iterative delivery.
Experience in Data-Driven Decision Making, with demonstrated consistently use of KPI dashboards and adoption metrics to guide prioritization, identify governance gaps, and demonstrate product value to stakeholders.
Ability to navigates a broad stakeholder landscape - including Data Management Leads, Data stewards, platform teams, data architects, and senior leadership - to align on product direction and manage competing priorities with clarity.

c) Product Ownership

Understands how unstructured data governance enables Sanofi's GenAI and Agentic AI use cases, and uses this context to balance governance rigor with business agility in prioritization decisions.
Embeds quality throughout the product lifecycle - from acceptance criteria through to post-launch monitoring - ensuring governance products like AIRA produce reliable, audit-ready outputs.
Steers products through all lifecycle phases - from discovery and validation through to growth and sustain - making deliberate investment decisions across the Unstructured Data Governance portfolio.
Takes full accountability for the vision, roadmap, backlog, and outcomes of the governance product suite, operating with high autonomy while contributing to the maturation of product management practices within the team.
Develops credible forward-looking views on delivery timelines, capacity needs, and adoption projections to support informed investment decisions at the portfolio level.
Places the needs of data stewards, DMLs, and AI product teams at the center of every product decision, maintaining continuous feedback loops to reduce friction and increase trust in governance tools.

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.

This position is for a current vacant role that is now open for applications.

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to culture, inclusion, and experience. Our goal is to attract, develop and retain highly talented employees, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP

#DBBCA

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

127,000.00 - 177,000.00 (Includes target bonus)

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:

127,000.00 - 177,000.00 (Comprend le bonus cible)

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien

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More about this job

Responsibilities

The Product Owner will define the vision, strategy, and roadmap for unstructured data governance products to support AI-readiness. They will act as the primary liaison between business stakeholders and technical teams to ensure high-quality delivery of governance tools.

Requirements

Candidates must have a Bachelor's degree in Data Science, Engineering, or Life Sciences and at least 5 years of experience in digital product management. Proficiency in data governance, AI platforms, and Agile methodologies is required.

Skills

Product management
Data governance
Unstructured data
GenAI
Agentic AI
Agile
Scrum
Metadata management
Data cataloging
Data classification
Access control
Snowflake
AWS S3
Data-driven decision making
Stakeholder management
Product strategy

Benefits

Healthcare
Prevention and wellness programs
Rewards package

Visa sponsorship

Not detected in the job text

Keywords

Product Owner
Data Governance
Unstructured Data
GenAI
Agentic AI
Biopharma
Snowflake
AWS S3
Metadata
Data Cataloging
Agile
Scrum
Product Roadmap
Data Quality
Risk Classification
Data Architecture
User Stories
KPI Dashboard
Change Management
Digital Transformation
Data Management
Product Lifecycle
Stakeholder Engagement
Data Security
OneMesh

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