Jobs / United States / Sanofi US Services INC
Process Monitoring Systems Lead
Sanofi US Services INC · 🇺🇸 Geel
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: Process Monitoring Systems Lead- Process Data Management, ML and AI Platform, MSAT Location: Belgium Job type: Permanent About the job At Sanofi, we deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams including Global MSAT (Manufacturing Sciences, Analytics, and Technology). With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. As a Process Data Scientist within MSAT Process Data Management, ML and AI platform, you will contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. You will also help us fulfil our ambitions to provide best-in-class data-driven Manufacturing Support, focusing on technical and process aspects, process monitoring, process robustness enhancement, and yield improvement to optimize performance. Main responsibilities: Lead coordination, implementation, and configuration of offline and online process monitoring systems in the M&S network (30%) Provide expert-level support for IIOT data management and data contextualization efforts (30%) Partner with manufacturing operations, Digital, Smart Factory and other global functions to improve source data systems, designing, and supporting time series data systems and advanced analytics in Sanofi’s new and legacy facilities: to facilitate timely data-driven decision making (20%) Upskill and train MSAT Global Data Science network in terms of data engineering and data visualization techniques (10%) Guide and coordinate contractors and co-ops to ensure a sustainable and efficient data and analytics support to ensure business continuity (10%) About you Experience: - 5+ years of experience working with large scale complicated datasets, cloud computing and cloud data services (e.g. Snowflake, EC2, EMR, RDS, Redshift) - Experience in building data contextualization pipelines and mapping business parameters to Data Foundation attributes to provide ready-to-use data for the end users - Advanced level of expertise in using Python, Structured Query Language (SQL) for ETL automation - Experience in implementing and managing CI/CD pipelines to automate the deployment and testing of data engineering solutions. - Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement - Proficient in designing and developing web-based user interface (UIs) & designed real-time dashboards on Power BI and similar platforms for better insights and improved decision making - Experience in industrial IoT applications and IIoT gateways from Edge-To-Cloud to allow monitoring and real-time connectivity of manufacturing equipment - Knowledge/experience in process automation systems, like PLC, DCS & sensors & embedded devices for machine learning and data analytics - Experience in the preventive & predictive maintenance activities for improving reliability in equipment and manufacturing operations Technical skills: - Data analysis and modelling using open-source software libraries, SeeQ, SIMCA, Dataiku and JMP - Database design/management tools: AVEVA PI or Aspen InfoPlus 21 historian, MS SQL Server, MySQL, and PostgreSQL - Scripting tools: Python, R, and SQL - Data visualization: Power BI, Tableau, PI Vision - Big Data/cloud platforms: AWS, Snowflake, Azure Other relevant software such as MS office, software for project management and agile activity tracking. - Project Management: - Lean & Agile practices - User experience management - Vendor management Tr