Jobs / United States / Regeneron Pharmaceuticals INC

Regeneron Pharmaceuticals INC

Senior Manager, Stewardship Operations, Quality & Evidence

TARRYTOWN Posted today

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LeadershipAuditProduct managementTranslation

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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 290 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.
  • 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.
  • What Regeneron Pharmaceuticals INC paid sponsored hires in similar roles1 certified filing for “Manager GD Quality Technology & Compliance” (Industrial Engineers) in NJ: $161k–$161k, median $161k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 290 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 Regeneron Pharmaceuticals INC paid sponsored hires in similar roles
1 certified filing for “Manager GD Quality Technology & Compliance” (Industrial Engineers) in NJ: $161k–$161k, median $161k. 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).

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.

About the role

Build our future together: The Senior Manager, Stewardship Operations, Quality & Evidence is responsible for the continuous data-quality monitoring capability for enterprise planning data, turning ratified standards and business rules into active checks, routed flags, and decision-ready evidence. This role owns the monitoring, escalation-routing, and reporting cadence that keeps data quality issues visible before they reach a finished report, and compiles the evidence base the Data Stewardship Council and senior leadership use to review conformance and prioritize future stewardship work. Reporting to the Director, Data Stewardship, this position operationalizes the monitoring and evidence pillar of the enterprise stewardship operating model, working in close partnership with the Sr. Manager, Enterprise Stewardship & Standards, whose ratified definitions and RACI assignments this role monitors against.  When & where: • Location: TarryTown NY, or Warren NJ • Travel percentage: 10% Discover your role: • Operate and continuously improve enterprise data-quality monitoring in Planisware (leveraging the Data Quality Audit capability), configuring checks to reflect currently ratified definitions, business rules, and RACI assignments.  • Monitor planning data continuously against core data-quality dimensions – completeness, accuracy, consistency, uniqueness, validity, and timeliness – and route flagged issues directly to the accountable plan owner for resolution at the source.  • Compile and maintain the monthly data-quality summary presented to the Data Stewardship Council, highlighting recurring issues, trends by function, and items requiring escalation.  • Produce the quarterly data-quality trend report for senior leadership, providing the evidence base used to prioritize future stewardship and quality initiatives.  • Maintain a system of record (audit trail) documenting monitoring results, flagged issues, remediation status, and outcomes, to support auditability and knowledge continuity across review cycles.  • Partner with Digital & Technology to keep monitoring tooling configured to current ratified standards, distinguishing tooling or system defects from underlying data-content issues and routing each to the correct owner.  • Track and report adoption and conformance by role – Data Creator, Curator, Enabler, and Consumer – to identify where an agreed expectation is not being met and where follow-up is needed.  • Support the Sr. Manager, Enterprise Stewardship & Standards, and the Director, Data Stewardship, in assembling monitoring evidence for decision records and escalation packages when a flagged finding surfaces a cross-functional disagreement requiring Council resolution.  • Track and report on monitoring coverage (e.g., share of required or active milestone codes under active monitoring) and issue closure rates, providing input to the broader stewardship roadmap and operating-model maturity.  • Collaborate with system Business Process Owner (e.g., Planisware, Planview) and Program, Portfolio Management, and Program Management leads to ensure monitoring reflects current planning-system configuration and usage.  This role requires: • Working knowledge of drug development, clinical/program planning, and portfolio management terminology and processes.  • Demonstrated experience operating or administering data-quality monitoring, audit, or observability capabilities (e.g., automated data-quality checks, exception and alert routing, conformance dashboards), ideally within a data governance or data management framework.  • Skilled in defining and tracking data-quality metrics against recognized dimensions (e.g., completeness, accuracy, consistency, uniqueness, validity, timeliness) and translating monitoring output

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