Site AI Transformation Lead (Secondment 12-18 Months)

WHY PATIENTS NEED YOU

This position reports to the Site Leader and leads the Kalamazoo site's AI transformation, connecting business priorities, emerging technologies, and operational excellence into measurable financial results across Manufacturing, Supply Chain, Engineering & Tech Services, Safety, Finance, and Quality.

WHAT YOU WILL ACHIEVE

The Director leads the site AI team — AI Data Engineers, AI Data Scientist, AI IMEx / Continuous Improvement Lead, AI Adoption & Engagement Lead, and AI Data Quality & Compliance Lead — and is the single point of accountability for the team's Front Door engagement model across every site organization.

The Director owns the site AI portfolio and value realization, running the team as an internal consulting and delivery organization — an "innovation factory" — rather than an AI research group. Every initiative is held to a single test: how much money, time, risk, or capacity it saves the business. If a project cannot answer that, it is not the right priority.

The Director sets the operating rhythm (quarterly identification of the top business problems with plant leadership; monthly portfolio, ROI, risk, and adoption review; weekly blocker removal and cross-functional alignment) and serves as the bridge between Operations, Supply Chain, Engineering, Quality, Safety, IT/Digital, Finance, and Executives.

The Director is accountable for talent, enterprise alignment, responsible-AI and GxP compliance posture, and the removal of barriers that prevent successful adoption and scaling of solutions.

HOW YOU WILL ACHIEVE IT

• Set the vision, strategy, priorities, and operating model for the Kalamazoo Site AI Manufacturing Transformation Team in alignment with site business objectives and enterprise AI, Digital, Quality, and Compliance expectations.

• Serve as the primary AI transformation partner to the Site Lead and Site Leadership Team, translating business priorities into a prioritized AI, analytics, automation, and data-enabled transformation portfolio.

• Lead the AI opportunity intake process across site functions and ensure each opportunity is evaluated by business impact, feasibility, speed, risk, compliance impact, data readiness, adoption readiness, and strategic value.

• Ensure all AI initiatives clearly define expected value, baseline performance, business owner, adoption plan, data requirements, compliance controls, cybersecurity considerations, support model, and transition path before advancing beyond pilot or prototype.

• Lead and coach the site AI team including AI Data Engineering, AI Data Science, IMEx/Continuous Improvement, Adoption & Engagement, and Data Security/Quality/Compliance capabilities.

• Partner with Manufacturing, Supply Chain, Quality, Engineering, Maintenance, Finance, Digital, Process Automation, IMEx/Operational Excellence, Validation, Cybersecurity, and enterprise AI/Product teams to remove barriers and accelerate high-value use cases.

• Drive a governance rhythm including leadership portfolio reviews, value realization reviews, risk and compliance reviews, adoption reviews, and execution alignment meetings.

• Ensure AI solutions are designed for sustainable adoption by integrating process redesign, standard work, training, user feedback, change management, and measurable behavior change into deployment plans.

• Ensure responsible and compliant AI implementation by embedding quality, GxP, data privacy, data integrity, cybersecurity, model risk, validation, documentation, and audit-readiness expectations into the lifecycle.

• Own value realization reporting for the site AI portfolio, including savings, productivity, capacity, cycle time, risk reduction, quality improvement, compliance improvement, and colleague experience outcomes.

• Identify opportunities to scale successful site AI solutions across the network and bring enterprise AI capabilities back to the site when they can solve Kalamazoo business problems.

• Promote a practical AI culture focused on business value, human-centered adoption, informed decision-making, continuous improvement, and patient impact.

QUALIFICATIONS

Must-Have

• Applicant must have a bachelor's degree with at least 6+ years of experience; OR a master's degree with at least 5+ years of experience; OR a PhD with 1+ years of experience.

• Experience in manufacturing, supply chain, quality, engineering, digital, analytics, operational excellence, or business transformation.

• Demonstrated experience leading cross-functional transformation, systems, operational improvement, digital enablement, analytics, automation, or AI-related initiatives in a complex business or manufacturing environment.

• Experience developing business cases, prioritizing portfolios, leading governance rhythms, removing cross-functional barriers, and delivering measurable business outcomes.

• Strong ability to communicate with site leadership, business process owners, technical teams, quality/compliance partners, and frontline colleagues.

• Understanding regulated manufacturing expectations, data integrity, quality systems, validation, change control, and sustainable process adoption.

Nice-to-Have

• Pharmaceutical, GMP, biologics, API, sterile manufacturing, or other highly regulated manufacturing experience preferred.

• Experience with AI, advanced analytics, automation, data platforms, SAP, MES, LIMS, CMMS, historians, Power BI/Tableau, quality systems, or enterprise digital/product teams preferred.

• Lean/Six Sigma, IMEx, operational excellence, change management, product management, program management, or financial value realization experience preferred.

• Experience leading teams or matrix organizations across Data Engineering, Data Science, Continuous Improvement, Adoption/Change, Compliance, Cybersecurity, or Quality preferred.

• Working knowledge of responsible AI, model risk management, GxP validation, data governance, privacy, cybersecurity, and AI lifecycle documentation preferred.

PHYSICAL/MENTAL REQUIREMENTS

• Normal office role with frequent computer-based work, meetings, executive communication, data review, business process analysis, prioritization, and decision support.

• Ability to perform complex problem solving, portfolio prioritization, financial and operational value assessment, risk assessment, 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, production or compliance impacts, executive reviews, project milestones, or urgent escalations.

• Occasional travel may be required for site, network, vendor, or enterprise alignment meetings.

OTHER INFORMATION

• This job is a US/PR Exempt Position.

• This role is intended to lead a site AI Manufacturing Value Team focused on measurable outcomes rather than technology experimentation.

• Recommended positioning: business transformation and site value realization leadership role with strong AI, analytics, operational excellence, adoption, and compliance partnership accountability.

ORGANIZATIONAL RELATIONSHIPS

• Site Lead and Site Leadership Team.

• Kalamazoo Manufacturing, Supply Chain, Quality, Engineering, Maintenance, Process Automation, Finance, Digital, IMEx/Operational Excellence, Validation, Data Governance, Enterprise AI/Product teams, and external partners as applicable.

• Direct or matrix partnership with AI Data Engineering Leads, AI Data Science Lead, AI IMEx / Continuous Improvement Lead, AI Adoption & Engagement Lead, and AI Data, Quality & Compliance Lead.

RESOURCES MANAGED

• Expected to lead or matrix-manage the site AI team: two AI Data Engineer positions, one AI Data Science Lead, one AI IMEx / Continuous Improvement Lead, one AI Adoption & Engagement Lead, and one AI Data Quality & Compliance Lead.

• May manage contractors, consultants, vendors, or matrix resources as approved to support AI delivery, data enablement, process improvement, adoption, validation, cybersecurity, or compliance activities.

• Accountable for site AI portfolio prioritization, value realization, governance rhythm, project budget input, business case quality, and escalation of barriers to site leadership.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

OTHER JOB DETAILS

• Last Date to Apply for Job: September 7, 2026

• Additional Location Information: NA

• Eligible for Relocation Package – NO

• Secondment 12-18 months

• If you are currently in a driving position with a fleet vehicle and this secondment does not require driving as an essential function of the position for 12 months or longer, you will be required to turn in your fleet vehicle for the duration of the non-driving secondment.  Please refer to the Fleet Policy and Procedures document for more information.

• There will be no change to your current work location.

The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

Logistics & Supply Chain Mgmt