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Sanofi

Product Owner - Digital Enablement

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 18, 2026
Experience: Bachelor's degree in Business Management, Engineering, Computer Science, or a related discipline, with 5 years of relevant experience.
Posting language: English
Posted: Nov 4, 2026

Original job description

Reference No. R2877240

Position Title: Product Owner
Location: Toronto, ON - Hybrid - 3 days per week onsite - required.

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

We're looking for a Product Owner to drive the discovery, delivery, and continuous improvement of a connected suite of digital portfolio products. You'll work at the intersection of user needs, data, and organizational strategy - defining problems worth solving, shaping measurable outcome-based goals, and partnering with cross-functional teams to deliver real value. This is a hands-on role for someone who communicates with clarity, thrives in ambiguity, and knows how to keep a team moving in the right direction.

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:

1. Own Product Outcomes and Value

You are accountable for defining, pursuing and validating outcomes that create tangible user and business value.

Define data-as-a-product goals and measurable success metrics tied to user behavior and business value.
Translate ambiguous problems into measurable outcomes, using user insights and data rather than assumptions
Connect day-to-day delivery with long-term value through outcome-oriented sprint goals.
Track value metrics post-release, interpret real user behavior (not just delivery velocity), and use cloud data platform and GenAI insights to adapt direction.

2. Lead Continuous Product Discovery

You are accountable for reducing uncertainty and ambiguity through continuous discovery.

Lead the product trio (Product Owner, Strategy, and Engineering) in dual-track discovery and delivery.
Frame hypotheses and assumptions; set a learning goal for every sprint.
Use interviews, journey mapping and assumption testing to understand what is worth solving.
Run experiments to validate ideas before committing engineering effort.

3. Prioritize Based on Value, Learning and Opportunity Cost

You are accountable for prioritization decisions that optimize value and flow.

Own and reorder the backlog based on evidence and impact, not urgency or pressure.
Balance value, feasibility, risk and learning.
Filter out noise, protect team focus, and say "no" or "not yet" with clear rationale.

4. Represent the User and Build Shared Understanding

You are accountable for keeping business vision and user needs at the center of decisions.

Address user problems and needs within the data mesh approach.
Translate business vision into epics, features and user stories.
Use story mapping, journey mapping, conceptual data models, data flow diagrams and collaborative design sessions to align teams on the why before the how.
Make dependencies, trade-offs and priorities visible across the team.

5. Engage and Align Stakeholders

You are accountable for alignment, trust and clarity across stakeholders.

Work closely with business SMEs, leadership, compliance, tech, design and vendors; involve them in discovery, testing and co-creation.
Share vision, learnings and progress openly; use storytelling and evidence to frame decisions.
Challenge assumptions respectfully, act as a thought partner and key opinion leader, and manage expectations without becoming a proxy
Drive alignment and decisions across internal teams and vendors, and move programs forward without formal authority.
Shape lessons learned, product sustainment and cross-team collaboration structures.

6. Shape and Validate Product Strategy

You are accountable for shaping and validating product direction.

Co-create the product vision aligned with product and business strategy.
Break strategy into testable product bets along quarterly planning.
Oversee strategic product investment, ensuring the right resource.

7. Enable and Support End-Users Through Change

You are accountable for driving user adoption of new releases.

Prepare and run end-user training.
Coordinate rollout communications.
Provide hypercare after releases.
Build lightweight support assets (how-tos, walkthroughs, FAQs).
Turn user feedback into actionable improvements and measurable adoption gains.

About You

Education and Experience (Required):

Bachelor's degree in Business Management, Engineering, Computer Science, or a related discipline, with 5 years of relevant experience.
Proven experience as a Product Owner or Product Manager in cross-functional teams.
Proven ability to create data-centric product visions, translate them into roadmaps, and manage products from framing to retirement with a data-as-a-product mindset.
Experience defining product outcomes, slicing work and measuring real value.
Track record of solving problems and overcoming roadblocks in complex environments with a hands-on "get things done" mindset.

Technical and Methodology Skills (Required):

Agile/Lean skills: Agile, Lean Startup, story mapping, MVPs, hypothesis framing and assumption testing; track record implementing agile frameworks in enterprise environments (Jira, Confluence).

Functional and technical understanding of data platforms: Snowflake, ETL, data analytics, AI/ML concepts, and semantic layers.

Analytical and data-driven; uses metrics and market trends to guide decisions and predict product performance and demand.

Leadership and Communication (Required):

Cross-functional leadership and influencing skills across developers, designers, business stakeholders and regulatory specialists; ability to think strategically and align product strategy to business needs.
Strong written and verbal communicator and facilitator; translates technical concepts for non-technical audiences and gives clear updates to executives.
Adaptable with an innovation mindset: navigates ambiguity, pivots quickly on user feedback and champions new approaches.

Nice to Have:

Master's degree with 5 years of experience.
Experience in Technology, pharmaceutical, life sciences or other regulated industries.
Experience in enterprise workflows, data-heavy platforms or AI/LLM-based products; familiarity with GenAI in enterprise products.
Knowledge of portfolio management, procurement or ITSM systems.
Background in digital transformation or enterprise data governance.
Experience in global, matrixed organizations.
Prior development and/or prototyping experience.

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.

You'll work in a highly collaborative environment alongside a world-class team on meaningful problems at the intersection of healthcare and digital innovation. You'll shape products that matter, contribute to a culture that values diversity and inclusion, and grow in a role where your impact is visible, measurable and lasting.

This position is for a new 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

#LI-SP #LI-Hybrid

#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:

158,200.00 - 208,200.00 (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:

158,200.00 - 208,200.00 (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

Apply About employer

More about this job

Responsibilities

The Product Owner will drive the discovery, delivery, and continuous improvement of a connected suite of digital portfolio products. They are responsible for defining product outcomes, managing the backlog, and aligning cross-functional teams to deliver measurable business value.

Requirements

Candidates must have a Bachelor's degree in Business, Engineering, or Computer Science with at least 5 years of relevant experience. Proficiency in Agile methodologies, data platforms, and strong cross-functional leadership skills are required.

Skills

Product ownership
Agile
Lean startup
Data-as-a-product
Snowflake
ETL
Data analytics
AI/ML
GenAI
Story mapping
Hypothesis framing
Cross-functional leadership
Stakeholder management
Product strategy
Product discovery
Roadmapping

Benefits

Health insurance
Wellness programs
Prevention programs
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Product Owner
Digital Enablement
Agile
Lean
Jira
Confluence
Snowflake
ETL
Data Analytics
AI
ML
GenAI
Data Mesh
Product Discovery
Product Strategy
Biopharma
Digital Transformation
Data Governance
Stakeholder Management
User Stories
Epics
Story Mapping
Journey Mapping
Hypothesis Testing
MVP
Portfolio Management
ITSM
Cross-functional
Product Trio
Semantic Layers

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