Product Manager/Product Owner — Enterprise Analytics/AI/ML
Sanofi
July 02, 2026
Remote friendly (Morristown, NJ)
United States
$178,500 - $257,833.33 USD yearly
IT
Main Responsibilities
- Lead end-to-end product delivery (discovery through build, test, and 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 a multi-horizon roadmap for a connected GTN analytics ecosystem; translate business challenges into prioritized backlogs delivering measurable value.
- Drive enterprise data transformation: modernize GTN processes with scalable, AI-ready data foundations; champion enterprise data standards (USDF, OneMesh).
- Optimize and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) using business value, feasibility, and data readiness.
- Collaborate with business stakeholders (Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, GTMC) to co-design solutions supporting governance processes (Actuals Review, Access & Investment Boards, Strategic Access Forums, bid-cycle preparation).
- Manage vendor/platform selection: lead RFPs, vendor evaluation, and Systems Integrator selection; manage external partners.
- Standardize and scale digital products across brands/BUs (workflows, dashboards, logic, reconciliation engines).
- Ensure performance/value realization via KPIs and measurement frameworks.
- Champion responsible AI per RAISE framework (compliance, auditability, transparency).
Qualifications (required)
- Bachelor’s degree + 7+ years in digital product management delivering end-to-end analytics/data/AI/ML enterprise solutions.
- 5+ years leading complex digital transformation in large matrixed organizations (data engineering, advanced analytics, AI/ML).
Skills (preferred/plus)
- Lean/Agile and product management frameworks; UX/UI understanding.
- Hands-on data/analytics stack: Python, SQL, Spark, Azure/AWS/GCP.
- AI/ML solution design, predictive modeling, analytics platform architecture.
- Forecasting frameworks, scenario modeling, variance decomposition, reconciliation workflows.
- Enterprise data platforms (Snowflake, Databricks); data mesh/data lake/cloud concepts.
- EPM platforms experience (Anaplan/Adaptive Insights) is a plus.
- English required (French or other languages a plus).
Benefits
- Health and wellbeing benefits, high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
- Lead end-to-end product delivery (discovery through build, test, and 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 a multi-horizon roadmap for a connected GTN analytics ecosystem; translate business challenges into prioritized backlogs delivering measurable value.
- Drive enterprise data transformation: modernize GTN processes with scalable, AI-ready data foundations; champion enterprise data standards (USDF, OneMesh).
- Optimize and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) using business value, feasibility, and data readiness.
- Collaborate with business stakeholders (Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, GTMC) to co-design solutions supporting governance processes (Actuals Review, Access & Investment Boards, Strategic Access Forums, bid-cycle preparation).
- Manage vendor/platform selection: lead RFPs, vendor evaluation, and Systems Integrator selection; manage external partners.
- Standardize and scale digital products across brands/BUs (workflows, dashboards, logic, reconciliation engines).
- Ensure performance/value realization via KPIs and measurement frameworks.
- Champion responsible AI per RAISE framework (compliance, auditability, transparency).
Qualifications (required)
- Bachelor’s degree + 7+ years in digital product management delivering end-to-end analytics/data/AI/ML enterprise solutions.
- 5+ years leading complex digital transformation in large matrixed organizations (data engineering, advanced analytics, AI/ML).
Skills (preferred/plus)
- Lean/Agile and product management frameworks; UX/UI understanding.
- Hands-on data/analytics stack: Python, SQL, Spark, Azure/AWS/GCP.
- AI/ML solution design, predictive modeling, analytics platform architecture.
- Forecasting frameworks, scenario modeling, variance decomposition, reconciliation workflows.
- Enterprise data platforms (Snowflake, Databricks); data mesh/data lake/cloud concepts.
- EPM platforms experience (Anaplan/Adaptive Insights) is a plus.
- English required (French or other languages a plus).
Benefits
- Health and wellbeing benefits, high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.