Product Manager/Product Owner — Enterprise Analytics/AI/ML
Sanofi
August 25, 2026
On-site
Morristown, NJ
$178,500 - $257,833.33 USD yearly
IT
Main Responsibilities
- Lead end-to-end product delivery (discovery through build/test/scale) for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting; drive delivery excellence across cross-functional pods (Data Engineering, Data Science, UX, AI).
- Define and execute product vision and multi-horizon roadmap; translate business needs into prioritized backlogs that deliver measurable value.
- Drive enterprise data transformation by modernizing fragmented, manual GTN processes into scalable, AI-ready data foundations; champion data standards (USDF, OneMesh).
- Optimize and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) based on value, feasibility, and data readiness.
- Collaborate with stakeholders (Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, GTMC) to co-design solutions and support governance (Actuals Review, Access & Investment Boards, Strategic Access Forums, bid-cycle preparation).
- Manage vendor and platform selection (RFPs, vendor evaluation, Systems Integrator selection) and external partners for Dynamic GTN Forecasting.
- Standardize and scale GTN workflows, dashboards, forecasting logic, and reconciliation engines across brands and BUs.
- Ensure performance and value realization via KPIs and measurement.
- Champion responsible AI aligned to the RAISE framework (compliance, auditability, transparency).
Qualifications & Skills (Required)
- Bachelor’s degree + 7+ years in digital product management delivering enterprise analytics/data/AI/ML products.
- 5+ years leading complex digital transformation programs in matrixed organizations (data engineering, advanced analytics, AI/ML).
Skills (Additional / Preferred)
- Lean/Agile product management; UX/UI principles.
- Hands-on data/analytics stack: Python, SQL, Spark, cloud data lakes (Azure/AWS/GCP).
- AI/ML solution design, predictive modeling; forecasting and reconciliation frameworks.
- Enterprise data platforms (Snowflake, Databricks) and connected data architecture.
- EPM tools experience (Anaplan/Adaptive Insights) a strong plus.
- Executive stakeholder management; influence without authority; strong communication.
Languages
- English required; French and other languages a plus.
- Lead end-to-end product delivery (discovery through build/test/scale) for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting; drive delivery excellence across cross-functional pods (Data Engineering, Data Science, UX, AI).
- Define and execute product vision and multi-horizon roadmap; translate business needs into prioritized backlogs that deliver measurable value.
- Drive enterprise data transformation by modernizing fragmented, manual GTN processes into scalable, AI-ready data foundations; champion data standards (USDF, OneMesh).
- Optimize and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) based on value, feasibility, and data readiness.
- Collaborate with stakeholders (Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, GTMC) to co-design solutions and support governance (Actuals Review, Access & Investment Boards, Strategic Access Forums, bid-cycle preparation).
- Manage vendor and platform selection (RFPs, vendor evaluation, Systems Integrator selection) and external partners for Dynamic GTN Forecasting.
- Standardize and scale GTN workflows, dashboards, forecasting logic, and reconciliation engines across brands and BUs.
- Ensure performance and value realization via KPIs and measurement.
- Champion responsible AI aligned to the RAISE framework (compliance, auditability, transparency).
Qualifications & Skills (Required)
- Bachelor’s degree + 7+ years in digital product management delivering enterprise analytics/data/AI/ML products.
- 5+ years leading complex digital transformation programs in matrixed organizations (data engineering, advanced analytics, AI/ML).
Skills (Additional / Preferred)
- Lean/Agile product management; UX/UI principles.
- Hands-on data/analytics stack: Python, SQL, Spark, cloud data lakes (Azure/AWS/GCP).
- AI/ML solution design, predictive modeling; forecasting and reconciliation frameworks.
- Enterprise data platforms (Snowflake, Databricks) and connected data architecture.
- EPM tools experience (Anaplan/Adaptive Insights) a strong plus.
- Executive stakeholder management; influence without authority; strong communication.
Languages
- English required; French and other languages a plus.