Product Line Owner for US Commercial Data Foundations

Sanofi; Northern (KY); Hybrid; USD 206,000 - 298,000; Full time

Benefits offered by this job

Hybrid Schedule

Job summary

Sanofi is seeking a Product Line Owner for US Commercial Data Foundations to define and execute a scalable, AI-ready data ecosystem powering commercial decisions in the US. You will lead data strategy, architecture, and delivery across a multi-brand, omnichannel landscape, building trusted data assets on AWS and Snowflake.

Required 7+ years in data strategy, strong cloud experience, and a data-as-a-product mindset.

Qualifications

• BS - Computer Science, Business Information Systems, Healthcare Information Systems or related field - required.
• Master's degree - preferred.
• 7+ years of experience leading data strategy and architecture initiatives.
• Experience modernizing legacy data environments into scalable cloud platforms (AWS, Snowflake).
• Strong collaboration across global, cross-functional teams.

Responsibilities

• Lead strategy, architecture, and delivery of US Commercial Data Foundations on AWS and Snowflake.
• Align data foundations to business imperatives and data as a product approach.
• Develop and coach a cross-functional team of product owners, analysts, and operations.
• Collaborate with Advanced Analytics and AI teams to enable reusable, AI/ML-ready data assets.
• Ensure governance, data quality, and compliance across GDPR/HIPAA/CCPA.

Job description

Job Title: Product Line Owner for US Commercial Data Foundations

Location: Cambridge, MA or Morristown, NJ

About the Job

We are an innovative global healthcare company, driven by one purpose. We chase the miracles of science to improve people's lives. We are dedicated to transforming the practice of medicine harnessing the power of data and AI responsibly to search deeper, move faster, and bring life-changing treatments into the hands of the patients who need them most.

As Product Line Owner for US Commercial Data Foundations, you will define and execute the strategy for building a scalable, trusted, and AI-ready data ecosystem that powers commercial decision-making across Sanofi's US business. The US commercial landscape is uniquely complex: a diverse portfolio of brands, intricate relationships across payers, providers, pharmacy channels, and patient access pathways, and a rich mix of internal and third-party data sources. You will bring clarity, structure, and scalable data foundations to this environment, partnering closely with commercial, analytics, and global teams to deliver measurable impact.

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.

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 lives.

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

Main Responsibilities

• Lead the strategy, architecture, and delivery of Commercial Data Foundations for the US designing scalable, governed, and high-quality data assets built on AWS and Snowflake, aligned to global standards and grounded in a data as a product approach with domain-driven design principles.
• Guide Sanofi's overall approach to US commercial data, proactively preparing the organization for current and future needs including the integration of third party and syndicated data sources alongside internal data, and harmonization across a complex, multi-brand omnichannel commercial environment.
• Build and continuously improve trusted, AI-ready data assets at scale, enabling data-driven decision-making across commercial teams and powering priority use cases in omnichannel engagement, field force optimization, and product launch readiness.
• Advance standardization and modernization of the data platform landscape through convergence and harmonization, embedding modern data engineering practices including automation, observability, and robust data quality and SLA frameworks.
• Collaborate closely with Advanced Analytics and AI teams to enable reusable, scalable, AI/ML-ready data assets; partner with US Commercial, transversal digital, and go-to-market teams to align data foundations to business imperatives; and ensure harmonization with global and enterprise architecture and governance practices.
• Lead and develop a cross-functional team of product owners, analysts, and operations professionals fostering a culture of collaboration, innovation, agility, and continuous learning.

About You

Basic Qualifications

• BS - Computer Science, Business Information Systems, Healthcare Information Systems or related field - required.
• Master's degree - preferred.
• 7+ years of experience leading data strategy and architecture initiatives, with a strong track record of applying data as a product thinking, domain-driven design, and modern data engineering practices to deliver measurable business impact.
• Proven ability to modernize legacy data environments into scalable, cloud native platforms with hands on experience in AWS and Snowflake and to integrate complex mixes of internal and third party/purchased data sources.
• Demonstrated experience leading large scale digital and data transformations, with the ability to build high-performing teams and develop both technical and leadership talent.
• Strong collaboration and influencing skills across global, cross functional teams comfortable bridging business and technical stakeholders and translating data strategy into commercial outcomes.
• Solid business acumen, preferably in life sciences or pharma, with an understanding of how the structure and dynamics of the US commercial market including payer, provider, pharmacy, and patient access ecosystems shape commercial data needs and operations.
• Good understanding of semantic layers to harness AI, solid grounding in ML/AI concepts, and strong knowledge of data governance and compliance frameworks (GDPR, HIPAA, CCPA).

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.

• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.

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.

North America Applicants Only

The salary range for this position is: $206,250.00 - $297,916.66. 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.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.

Wir sind ein forschendes Biopharma-Unternehmen, das KI anwendet und sich dafür einsetzt, das Leben der Menschen zu verbessern und verantwortungsvoll zu wachsen. Unser Team wird von einem Ziel geleitet: Wir erforschen die Wunder der Wissenschaft, um das Leben der Menschen zu verbessern. Wir möchten eine gesündere, widerstandsfähigere Welt schaffen und das Unmögliche möglich machen, indem wir Medikamente und Impfstoffe für Millionen von Menschen weltweit entdecken, entwickeln und bereitstellen. Erfahren Sie mehr über uns auf www.sanofi.com oder schauen Sie sich unseren Film an: We are Sanofi Starte eine Karriere, die einen Unterschied macht. Neuerfindung liegt in unserer DNA. Sie hat unsere Entwicklung von einem kleinen französischen Unternehmen zu einem der weltweit führenden Biopharma-Unternehmen vorangetrieben. Ob es darum geht, KI zu nutzen, um die Zeiten der Arzneimittelforschung zu verkürzen, oder Vertrauen im Gesundheitswesen aufzubauen – du kannst unseren Teams dabei helfen, das Leben für Patient*innen, Partner*innen und Gemeinschaften zu verbessern. Hier entwickelst du deine Karriere weiter. Wir öffnen dir die Tür, um neue Möglichkeiten zu entdecken, deine Grenzen zu erweitern und dich mit Menschen zu vernetzen, die von einem gemeinsamen Ziel angetrieben werden: Wir erforschen die Wunder der Wissenschaft, um das Leben der Menschen zu verbessern.