Director, QSEO AI Transformation Lead

Pfizer • Collegeville, PA

12d • $176,600 - $294,300 • Hybrid

About The Position

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 governance, quality frameworks, and AI life-cycle practices that accelerate AI adoption while maintaining appropriate GxP controls, regulatory compliance, and inspection readiness.

Working 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 converts these considerations into practical, risk-based approaches that enable innovation and process simplification while preserving appropriate oversight throughout the AI life cycle.

The Director leads complex cross-functional initiatives and a team, influences alignment across organizational and functional boundaries, and advises senior leaders on AI governance, risk, compliance, and deployment. The role anticipates emerging issues, develops recommendations, and drives resolution of complex challenges through matrix leadership and subject-matter expertise.

Requirements

• Bachelor’s degree in a scientific, engineering, technology, data, quality, or related discipline and at least eight years of relevant experience; or a master’s degree and at least seven years of relevant experience; or a doctoral degree and at least five years of relevant experience.
• Significant experience in pharmaceutical quality, manufacturing, regulatory compliance, Digital quality, or another regulated environment.
• Demonstrated expertise in GxP quality systems, risk management, computerized systems, Digital governance, AI governance, or related disciplines.
• Experience applying quality and risk-management principles across the life cycle of Digital, computerized, or AI-enabled solutions.
• Demonstrated experience leading complex, cross-functional initiatives in a global, highly matrixed organization.
• Experience supporting regulatory inspections, internal audits, or inspection-readiness activities as a subject-matter expert.
• Demonstrated ability to exercise independent judgment and develop recommendations for highly complex and ambiguous issues.
• Proven ability to influence senior leaders and drive alignment across Quality, Digital, Operations, and business stakeholders without direct authority.
• Strong written and verbal communication skills, including the ability to translate technical and regulatory issues into clear business and risk insights.
• Working knowledge of AI and machine-learning concepts, including model life cycle, data quality, performance monitoring, drift, explainability, and human oversight.
• Ability to evaluate multiple complex and concurrent inputs, exercise sound judgment, and develop clear, actionable recommendations.
• Ability to manage competing priorities and operate effectively in a complex, matrixed, and globally distributed environment.
• Candidates must be authorized to be employed in the U.S. by any employer; U.S. work visa sponsorship is not available.

Nice To Haves

• Advanced degree in a scientific, engineering, data, technology, regulatory, or quality discipline.
• Experience developing or implementing governance for AI or machine-learning solutions in a GxP environment.
• Familiarity with applicable AI, quality, and risk-management regulations, standards, and guidance.
• Experience leading senior governance or multidisciplinary decision-making forums.
• Experience establishing portfolio-level monitoring, inspection-readiness, or risk-reporting approaches.
• Quality, auditing, risk-management, Digital, data, or AI-related certification.
• Experience applying IMEx, Lean, Six Sigma, or comparable process-improvement methods.
• Experience with portfolio management, governance tools, value reporting, or AI inventory management.

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, identify systemic risks, and recommend 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.
• Influence and collaborate with peers, develop and coach others, and oversee and guide colleagues' work to achieve meaningful outcomes and business impact.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday, and personal days
• Paid caregiver/parental and medical leave
• Medical, prescription drug, dental, and vision coverage
• Eligibility to participate in Pfizer’s Global Performance Plan, with a bonus target of 20.0% of base salary
• Eligibility to participate in a share-based long-term incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Director