Jobs / United States / Sanofi US Services INC
Market Access AI & Data Management Lead
Sanofi US Services INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 29 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Sanofi US Services INC paid sponsored hires in similar roles2 certified filings for “Case Management and Process Expert” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Sanofi US Services INC
The US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 29 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Sanofi US Services INC →
About the role
• Job title: Market Access AI & Data Management Lead • Location: Cambridge, MA 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. We are an innovative global healthcare company, committed to transforming the lives of people with immune challenges, rare diseases and blood disorders, cancers, and neurological disorders. From R&D to sales, our talented teams work together, revolutionizing treatment, continually improving products, understanding unmet needs, and connecting communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world. The Market Access AI & Data Management Lead serves as the governance lead for US Market Access Analytics, owning the strategy and execution of how Market Access data assets are structured, governed, cataloged, and prepared for AI-driven consumption. This role ensures that Market Access and Pricing data, spanning contracting, government pricing, finance, demand, and claims, meets the highest standards of quality, discoverability, and AI-readiness. The Associate Director operates at the intersection of business and technology: defining how data should be understood and used by stakeholders across Pricing, Government Pricing, Finance, and Access Strategy, while coordinating with Digital, Data Engineering, and enterprise governance teams to ensure those standards are built and sustained. This role is central to Sanofi's ability to scale AI-powered analytics across US Market Access. Join the team transforming care for people with immune challenges, rare diseases, cancers, and Specialty Care neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. 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. Main responsibilities • Serve as the Data Management Lead (DML) for the Market Access & Pricing domain serving as the governance lead for data asset development. This role is formally accountable for ensuring that all Market Access data assets (Source-Aligned, Process-Aligned, and Consumption-Aligned) meet enterprise AI-Ready Data standards, are registered in the data catalog, and have clearly defined business and technical metadata. • Lead the AI-Ready Data progression for Market Access & Pricing data assets, driving the Medallion certification process across all domain data assets by coordinating business and digital roles (Business Data Stewards, Technical Data Stewards, Product Owners) and ensuring the data contract is met and meets stakeholder needs. • Own the business metadata, semantic layer, and ontological definitions for Market Access data, working with stakeholders across Contracting, Government Pricing, Finance, Demand Forecasting, and Access Strategy to define how data should be described, labeled, and made queryable in business terms, so that non-technical users and AI systems can access and interpret it correctly. • Coordinate the development of the semantic layer with Digital and Data Engineering teams, translating business requirements into technical specifications for metadata cataloguing, data lineage documentation, and validating that the resulting layer accurately reflects how the busi