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Pfizer

AI Data Security, Quality & Compliance Lead (Secondment 12-18 Months)

United States - Michigan - Kalamazoo

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hirly's read of this role

Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
24 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

WHY PATIENTS NEED YOU

This position reports to the Director, Site AI Transformation (with matrix partnership to Quality and/or Digital) and ensures AI solutions are implemented responsibly while meeting Pfizer quality, regulatory and data governance expectations.

WHAT YOU WILL ACHIEVE

This role continuously asks: can we trust it, can we validate it, can we defend it, can regulators inspect it? It embeds AI governance, data security, GxP compliance, and responsible-AI practices from the outset so validated solutions can be scaled with confidence.

As a member of the site AI team, this role serves as a Front Door to organizations across the site — Manufacturing, Supply Chain, Engineering & Tech Services, Safety, Finance, and Quality — engaging stakeholders to surface opportunities, frame value cases, and deliver AI-enabled improvements measured by the money, time, risk, or capacity they save the business.

HOW YOU WILL ACHIEVE IT

  • Serve as a Front Door strategic partner to assigned site organizations for data enablement; understand each area's process flow and data sources firsthand.
  • Establish and maintain practical site AI governance practices aligned with enterprise responsible AI, quality, privacy, data governance, and validation expectations.
  • When required, perform or coordinate risk assessments for AI use cases, including GxP impact, data integrity, privacy, model risk, intended use, human oversight, and change control considerations.
  • Partner with Quality, Compliance, Validation, Digital, Data Governance, Legal/Privacy, and business owners to define required controls and documentation for each use case.
  • Support AI lifecycle documentation including intake records, intended use, data sources, assumptions, requirements, testing, validation strategy, monitoring, access controls, support model, and audit artifacts.
  • Maintain or support an inventory of site AI use cases, pilots, models, data products, controls, and lifecycle status as applicable.
  • Advise project teams on secure and compliant design, data use, model monitoring, human-in-the-loop controls, explainability, documentation, and inspection readiness.
  • Escalate governance, compliance, security, or model risk concerns and help define practical remediation actions.
  • Train and coach the AI team and business partners on responsible, compliant, and defensible AI practices.

Portrays Pfizer Leader Behaviors:

  • Functional/Technical Knowledge: Carries out work activities with limited direction. Seeks to understand the difference between high and low value-added work and strives to adjust own and teams appropriately. Negotiates work interdependencies and is responsible about meeting expectations. Work decisions consider broader project goals and the responsibilities of others. Maintains and advocates high work standards. Shows awareness of and sensitivity to external environment.
  • Inclusive Environment: Welcomes new members and helps others feel welcome. Advocates for inclusion of others. Share information with teammates/work partners. Works well with people who have different ideas, perspectives and cultural backgrounds. Show empathy and understand the importance of being sensitive to others' feelings. Suggest functions, business units and candidates to be included in the work of the group. Anticipates and considers stakeholder interests prior to implementation attempts. Appreciates how all colleagues' perspectives and differences add value to the team.
  • Open Discussion and Debate: Seeks and demonstrates understanding of comparative viewpoints, alternative ideas and approaches. Utilizes integrative (non-zero-sum) conflict management skills. Solicits feedback. Responds productively when challenged.
  • Impact and Organizational Contribution: Contributes to the completion of specific programs and projects. Failure to achieve results causes serious delays in meeting departmental objectives. Ensure that projects are completed on schedule following established procedures and schedules. Erroneous decisions or recommendations or failure to achieve results might cause delays in program schedules and result in the allocation of more resources. Motivates others, generating commitment and a shared sense of purpose.
  • Manage Change: Anticipates and drives changes and suggests ways for the group to work with or exploit them. Suggests for ways to adapt processes and procedures to a variety of situations and changing circumstances. Ask for advice and guidance in finding ways to improve work processes.
  • Develop People: Initiates feedback in support of the group's work. Partners with leadership and team members to support others'/own development. Freely transfers views, perspectives, knowledge. Knowing own strengths and developmental needs, proactive in addressing. Clear with others about needs for support. Seeks opportunities to expand responsibilities and develop skills.
  • Align Across Pfizer: Asks "Who else should know?" Comprehends differing thought systems of colleagues from other business units. Understands how own role contributes to PGS/Pfizer vision. Employs growing knowledge of the Pfizer organization to suggest and promote alliances and collaboration with other business units. In words and behavior, supports decisions arrived after open discussion and debate. Shares innovations, ideas and best practices that may benefit others.

QUALIFICATIONS

Must-Have

  • Applicant must have a bachelor's degree with at least 5+ years of experience; OR a master's degree with at least 3+ years of experience; OR a PhD with 0+ years of experience; OR as associate's degree with 8+ years of experience; OR a high school diploma (or equivalent) and 10+ years of relevant experience.
  • Experience supporting regulated systems, computerized system validation, data integrity, quality systems, cybersecurity, privacy, risk management, compliance, or governance processes.
  • Ability to interpret governance and compliance expectations and apply them pragmatically to business and technical solutions.
  • Strong documentation, risk assessment, stakeholder engagement, and written communication skills.

Nice-to-Have

  • Experience with AI/ML governance, responsible AI, model risk management, GxP validation, FDA-regulated manufacturing, quality investigations, change control, cybersecurity, data privacy, or data governance preferred.
  • Experience partnering with Quality, Compliance, Validation, Digital/Product teams, Automation, Data Engineering, Data Science, and business process owners preferred.
  • Professional certification in quality, validation, cybersecurity, privacy, risk management, project management, or data governance preferred.

PHYSICAL/MENTAL REQUIREMENTS

  • Normal office role with frequent computer-based work, meetings, data review, business process analysis, and collaboration with site business areas.
  • Ability to perform complex problem solving, prioritization, risk assessment, quantitative analysis, and written documentation.
  • Periodic presence in manufacturing, laboratory, warehouse, or operational areas may be required; must follow applicable site safety, gowning, data integrity, and GMP expectations.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

  • May require support outside normal business hours for critical site priorities, project milestones, production or compliance impacts, or executive reviews.
  • Occasional travel may be required for site, network, vendor, or enterprise alignment meetings.

OTHER INFORMATION

  • Draft role description for review; final job profile, grade, FLSA status, relocation eligibility, posting details, and compensation evaluation should be confirmed with HR/Compensation.
  • The role is intended to support measurable business value delivery through AI, analytics, automation, process improvement, and compliant adoption.

ORGANIZATIONAL RELATIONSHIPS

Kalamazoo Manufacturing, Supply Chain, Quality, Engineering, Maintenance, Process Au

Original posting on Pfizer's site ↗

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