Jobs / United States / Pfizer INC
Director, PGS and Enterprise Solutions Data Management & Engineering
Pfizer INC · 🇺🇸 4 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 40 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 9 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 Pfizer INC paid sponsored hires in similar roles1 certified filing for “CLINICAL STATISTICIAN, ASSOCIATE DIRECTOR” (Data Scientists) in MA: $183k–$183k, median $183k. 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 — Pfizer INC
The US Department of Labor certified 40 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 9 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 Pfizer INC →
About the role
ROLE SUMMARY Pfizer Global Supply (PGS) is putting trusted, AI-ready data at the heart of how medicines are made, tested and delivered. PGS & Enterprise Solutions Data Products & Platforms is a newly formed team with a single mission: make our data self-service and accessible, available at the right latency, and contextualized so that its meaning can be interpreted by people and by machines. Spanning Manufacturing, Quality and Supply Chain, the team owns data strategy and standards, data contextualisation and semantics, data operations, and the converged data platform estate for PGS and Enterprise Solutions – working in deep partnership with PGS business data owners, solution teams and the site network. The Director, Data Management & Engineering leads the function accountable for data quality and trust across PGS and Enterprise Solutions. The role owns the movement of data from source systems through to the point of consumption, and the assurance that what arrives is complete, accurate, traceable and fit to use. Partnering closely with PGS Data, Analytics & AI Transformation organisation and Digital solution teams, this function turns trusted, contextualised data into operating reality at scale. This role builds and runs the pipeline estate that carries it, engineers the data quality controls that hold it to account, and certifies data products as trusted. It is the operational spine of an AI-ready data foundation. The role leads a distributed team, supported by partner resources, and operates in a GxP-regulated environment where evidence of data integrity is a design requirement. What You Will Achieve Pipeline build and operations • Partnering closely with PGS Data, Analytics & AI Transformation organisation and Digital solution teams, set objectives for and lead the design, build and operation of the data pipeline and integration estate connecting source systems to enterprise consumption, including manufacturing, quality, supply chain and ERP sources. • Own ingestion and integration engineering from source through to MES, historian, and enterprise platforms, delivered to the architecture and integration standards set by Data Strategy & Architecture. • Establish and maintain DataOps practice across the estate: release management, environment control, change and version management, and automated deployment. • Own run-state performance, including monitoring, incident management, service levels and on-call arrangements, working with partner resources where the work is outsourced. Data quality and certification • Lead data quality engineering across the estate: rule definition and enforcement, anomaly detection, remediation, and measurement. • Own the lineage and evidence chain from source to consumption, ensuring ALCOA+ principles are demonstrably met and that data products can withstand regulatory scrutiny. • Own the technical certification of data products into PGS Trusted Data, acting as an operational interface to the PGS Data, Analytics & AI Transformation organisation. • Establish observability across pipelines and data products so that failures, drift and degradation are detected before consumers are affected. Regulatory and compliance • Ensure all pipelines and data products meet 21 CFR Part 11, EU GMP Annex 11, GAMP 5 and applicable data integrity requirements. • Maintain readiness for evolving regulatory expectations on AI, including demonstrable lineage from source to decision output. Working across the function • Work with Data Platforms team on the boundary between the platform environment and the flow through it, ensuring that interface is explicit and understood by both teams. • Partner with Delivery & Operations Excellence on demand shaping and sequencing, and with Domain Data Solution Leads