Data Management Lead at Sanofi

Data Management Lead

Location: Cambridge, MA / Morristown, NJ

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

Join the digital engine driving Sanofi's transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered by AI at scale.

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.

Main Responsibilities:

• 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.

• 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.

• 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.

• 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.

• 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.

• Ensure all data products are documented with metadata, lineage, and usage guidelines.
• Maintain or contribute to enterprise data catalogs and discovery platforms.

• 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.

• 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 and governance practices.

• Manage domain-level data budgets, including vendor contracts (e.g., APLD providers), tools, and staffing.
• Advocate for resources needed to support therapeutic area data initiatives and product development.

About You

Required Skills:

• Strategic Thinking: Ability to align therapeutic area data initiatives with brand and business goals.
• Data Product Management: Experience managing data products in life sciences (e.g., segmentation, targeting, field reporting).
• Therapeutic Area Data Expertise: Deep understanding of APLD, Rx, sales, and customer data types and their applications in Immunology, Vaccines, Oncology, or similar domains.
• Governance & Compliance: Knowledge of relevant compliance requirements and business-led governance practices.
• Data Stewardship: Proven ability to monitor and improve data quality across therapeutic area datasets.
• Technical Collaboration: Ability to translate business needs into technical requirements and collaborate with IT and analytics teams.
• Metadata & Documentation: Familiarity with data cataloging, metadata management, and lineage tracking.
• Data Literacy Enablement: Experience training therapeutic area teams on data tools and definitions.
• Performance Measurement: Ability to define KPIs and measure the business impact of data products.
• Budget & Resource Management: Experience managing budgets, vendors, and staffing for therapeutic area data initiatives.
• Communication & Advocacy: Strong communication skills to represent therapeutic area data interests across the enterprise.

Required Qualifications:

• BS - Life Sciences, Data Science, Business or related field.
• 7+ years of experience in commercial data management, analytics, or commercial operations in life sciences.
• Experience working in a data mesh or domain-oriented data architecture.
• Strong background with life sciences commercial data assets and commercial operations.

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.

Sanofi US Services 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.