Jobs / United States / Pfizer INC

Pfizer INC

Director, QSEO AI Transformation Lead

2 Locations Posted today

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Skills this job asks for

LeadershipComplianceAuditInventory management

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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 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.
  • 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 Pfizer INC paid sponsored hires in similar roles1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k.
  • 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 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. 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 Pfizer INC paid sponsored hires in similar roles
1 certified filing for “Associate Director, Statistics Lead” (Statisticians) in VA: $135k–$135k, median $135k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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

ROLE SUMMARY The Director, QSEO AI Transformation Lead provides strategic and subject-matter leadership for artificial intelligence governance, quality oversight and responsible adoption across Pfizer Global Supply (PGS) and Quality, Safety, Environment & Operations (QSEO). The role enables the Native-AI vision by establishing the governance, quality frameworks and AI life-cycle practices needed to accelerate AI adoption while maintaining appropriate GxP controls, regulatory compliance and inspection readiness.   Operating at the intersection of Quality, Digital and Operations, the Director applies deep functional expertise and independent judgment to complex and evolving AI opportunities, risks and regulatory expectations. The role translates these considerations into practical, risk-based approaches that enable innovation and process simplification while maintaining appropriate oversight throughout the AI life cycle.   Working across organizational and functional boundaries, the Director leads complex cross-functional initiatives, leads a team and influences alignment and advises senior leaders on AI governance, risk, compliance and deployment considerations. The role anticipates emerging issues, develops recommendations and drives resolution of complex challenges through matrix leadership and subject-matter expertise.   ROLE RESPONSIBILITIES • Provide strategic leadership for QSEO AI transformation, governance and quality oversight across the PGS AI portfolio. • Translate the Native-AI vision into governance strategies, quality approaches and implementation plans that accelerate responsible AI adoption. • Advise senior leaders on AI opportunities, regulatory expectations, GxP risks, investment priorities and deployment considerations. • Establish and maintain risk-based quality oversight for Digital and federated AI solutions throughout the AI life cycle. • Lead the AI Quality Review Board and GxP AI Steering Committee, driving effective decisions, escalation and closure of agreed actions. • Establish portfolio-level approaches for AI audit and inspection readiness, identifying systemic risks and recommending corrective or preventive actions. • Monitor emerging AI regulations, standards and industry practices and translate their implications into practical internal requirements and recommendations. • Represent QSEO in enterprise AI governance forums and lead resolution of actions arising from the PGS AI Council. • Provide strategic leadership for maintenance, adoption and continuous improvement of the AI life-cycle process. • Simplify AI governance and delivery processes while maintaining appropriate quality, compliance and risk controls. • Establish expectations for accurate AI inventory management and influence an integrated enterprise approach to AI life-cycle visibility. • Define and advance a portfolio-level approach for monitoring the health, performance and control status of GxP-relevant AI solutions. • Provide strategic direction for PGS AI governance and quality tools, including AIRIF and AIQAS, and their alignment with the PGS platform strategy. • Establish and guide the QSEO AI community of practice, partnering with PGS GxP AI ambassadors and relevant PGS, Digital and Research & Development organizations. • Develop portfolio metrics and insights that provide senior leaders with visibility into AI adoption, quality, compliance, risk and value. • Lead QSEO AI-related IMEx reporting, resource visibility, risk assessment and escalation.     BASIC QUALIFICATIONS • Bachelor’s degree in a scientific, engineering, technology, data, quality or related discipline with at least eight years of relevant experience; or a master’s degree with at least seven years of relevant experience; or a doctoral degree with a

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