Data Management Lead

## Data Management Lead Bewerbenlocations:
Cambridge, MA:
Morristown, NJtime type:
Vollzeitposted on:
Heute ausgeschriebentime left to apply:
Enddatum: 24. Juli 2026 (Noch 30+ Tage Zeit für Bewerbung) job requisition :
R2858419
*
* Job title:

** Data Management Lead
*
* Location:

** Cambridge, MA / Morristown, NJ
** 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.
*
* Position Summary:

** The
** Data Management Lead
** plays an important role in shaping and executing the data strategy for a specific therapeutic area within a federated data mesh architecture. This role is dedicated to ensuring that domain-specific data products are managed with full lifecycle accountability, from design and development to stewardship and retirement.

The mission of the  Data Management Lead is to deliver high-quality, business-aligned data products that empower data-driven decision-making across commercial, medical, and market access functions. This includes maintaining business rules, ensuring data integrity, and managing governance and quality assurance practices that make data products discoverable, trustworthy, and actionable.
** 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.
*** Hybrid - 3 days per week onsite is required.
****
* Main Responsibilities:

**** 1. Domain Ownership & Strategy
*** Define and own the data strategy for the assigned therapeutic area.
* Align data initiatives with brand goals, KPIs, and operational priorities across marketing, sales, and field teams.
* Serve as the accountable owner for therapeutic area data products and their business impact.
** 2. Data Product Management
*** Oversee the lifecycle of data products to support commercial operations (e.g., HCP segmentation, targeting models, field performance dashboards, and campaign analytics tailored to the therapeutic area).
* Ensure data products are discoverable, trustworthy, and usable by analytics, operations, and business stakeholders.
* Apply product thinking to datasets, including ownership, SLAs, and support mechanisms.
** 3. Business-Led Data Governance
*** Define and enforce business rules, definitions, and quality standards for commercial data sets specific to the therapeutic area.
* Collaborate with other domain managers to support federated governance across the enterprise.
* Ensure compliance with relevant regulations in partnership with Legal and Compliance.
** 4. Stewardship & Quality Assurance
*** Monitor and improve data quality, completeness, and timeliness across therapeutic area datasets.
* Lead stewardship efforts including issue resolution, root cause analysis, and continuous improvement.
* Establish and report on data quality metrics to stakeholders.
** 5. Collaboration with Digital & GTMC Colleagues
*** Partner with Digital to ensure infrastructure, pipelines, and platforms support therapeutic area data needs.
* Work closely with analytics teams to ensure data products support modeling, forecasting, targeting, and ROI analysis.
* Translate therapeutic area business requirements into technical specifications and vice versa.
** 6. Metadata & Documentation
*** Ensure all data products are documented with metadata, lineage, and usage guidelines.
* Maintain or contribute to enterprise data catalogs and discovery platforms.
** 7. Data Literacy
*** Promote data literacy across therapeutic area functions by training users on data definitions, tools, and usage.
* Act as a change agent for data-driven decision-making and analytics culture.
** 8. Performance Measurement
*** Track and report the business impact of data products (e.g., improved targeting accuracy, reduced churn, increased campaign ROI).
* Use feedback loops to refine data products…