Product Manager/Product Owner, Enterprise Analytics/AI/ML

Sanofi

Quick summary

Work type: On-site
Location: Morristown, NJCambridge, MA
Salary: $178,500–$257,833 / yr
Posted: 2 days ago
Closes: Aug 1, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k

This role $218k

$153k most similar roles pay here $269k

This role pays more than 68% of similar roles. Most pay $169,430–$236,400 — the shaded band above. At the midpoint, this role pays about $218k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Sanofi

Sanofi is a French global R&D-driven and AI-powered biopharmaceutical company focused on human health through specialized medicine, vaccines, and consumer healthcare.

Sanofi currently has 7 open roles on FindRole.

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At a glance

TL;DR · Product Manager/Product Owner, Enterprise Analytics/AI/ML

Role Posting Log in to save

Join Sanofi as a Product Owner leading the modernization of US Gross-to-Net (GTN) capabilities with AI and analytics products, including GTN CLARITY, COMPASS, and Dynamic Forecasting. You will own the product vision, strategy, and roadmap for these solutions, driving alignment across Finance, Pricing, Access Analytics, and Digital teams while ensuring compliance with responsible AI practices. This role requires deep expertise in AI/ML-driven platforms, experience in digital transformation programs, and proficiency in data engineering stacks like Python, SQL, Spark, and cloud platforms. You will work within a cross-functional team to optimize GTN processes, manage vendor relationships, and ensure scalable, reliable solutions that enhance strategic decision-making and improve health outcomes globally.

Skills

Python SQL Spark AWS Azure GCP Snowflake Databricks Lean Agile Anaplan Adaptive_Insights CI/CD Responsible_AI UX/UI EPM_Pods

What you'll do

Own the full product lifecycle for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting.
Define and execute a clear product vision and multi-horizon roadmap for connected GTN analytics.
Lead migration of manual GTN processes to scalable AI-ready data foundations.
Identify and prioritize GTN use cases based on business value and technical feasibility.
Manage RFPs and vendor evaluations for the Dynamic GTN Forecasting platform.

What we're looking for

7+ years of experience in digital product management with a track record of delivering end-to-end analytics platforms at enterprise scale.
Proven ability to lead complex digital transformation programs in large organizations, spanning data engineering and AI/ML product development.
Strong understanding of enterprise data architecture concepts including cloud platforms and connected data foundations.
Experience managing multi-vendor delivery environments, including RFP processes and external partner management.
Deep knowledge of Lean/Agile practices, UX/UI principles, and hands-on experience with data engineering stacks like Python, SQL, Spark.

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