Senior Manager, AI, Data, Analytics & Reporting Product Area Lead

Role Summary

This is an opportunity to shape the future of AI, data, analytics, and digital capabilities across Pfizer's Global Clinical Supply (GCS) organization and help accelerate its digital transformation journey. The Senior Manager, AI, Data, Analytics & Reporting Product Area Lead is a global product leadership role responsible for defining the strategy, roadmap, prioritization, adoption, and value realization of AI, analytics, reporting, data-product, and digital capabilities that enable business insights, improve decision-making, and support operational excellence across Global Clinical Supply.

Reporting to the Global Clinical Supply Operations Network Strategic Hub and AI/Data Analytics & Reporting Lead, this individual contributor role serves as the business representative for the AI/DAR product area, ensuring product investments, roadmap decisions, and delivery priorities are aligned with strategic business objectives and focused on the highest-value opportunities.

Partnering across Business, Digital, Product, Business Analysis, Engineering, Data Science, Analytics, Reporting, and enabling-function teams, the role translates complex business needs into product priorities, scalable solutions, adoption strategies, and measurable business outcomes.

Operating with a high degree of independence, this role provides leadership through influence, guides product area decisions, and helps ensure AI/DAR capabilities are user-centered, scalable, compliant, and connected to meaningful business value and continuous improvement.

Role Responsibilities

• Establish and execute a multi-year strategy and roadmap for AI, Data Analytics & Reporting capabilities, ensuring alignment with GCS, CD&O, and enterprise priorities while maximizing business value, adoption, and organizational impact.

• Serve as the strategic business representative for the AI/DAR product area, translating GCS priorities, operational challenges, user needs, and future-state objectives into clear product direction, investment recommendations, and roadmap decisions.

• Own business prioritization recommendations, investment tradeoff assessments, and roadmap sequencing decisions for the AI/DAR product area, representing GCS priorities through established portfolio governance forums.

• Lead the full lifecycle of AI/DAR products and capabilities, from business problem definition and opportunity assessment through design, delivery, adoption, continuous improvement, and retirement, ensuring sustainable business value throughout the lifecycle.

• Accountable for ensuring AI/DAR products deliver measurable business value through adoption, process improvement, decision-support effectiveness, and operational outcomes aligned with GCS strategic objectives.

• Identify opportunities to simplify, modernize, integrate, retire, or transform AI, analytics, reporting, data products, and digital capabilities to support future-state GCS operations and accelerate digital transformation objectives.

• Define, monitor, and communicate key product, adoption, operational, and value realization metrics using data-driven insights to inform roadmap decisions, continuous improvement, and investment recommendations.

• Provide leadership through influence across business, Digital, product, engineering, analytics, and data teams, fostering product management excellence, AI/data literacy, innovation, and cross-functional collaboration throughout GCS.

• Forecast and manage technology, vendor, and resource requirements and contribute to investment planning and financial forecasting activities to support successful delivery of product area objectives.

• Support successful business adoption, change readiness, stakeholder engagement, training alignment, and value realization activities to ensure AI/DAR capabilities are effectively embedded into GCS operations and decision-making processes.

• Maintain relationships with key stakeholders, partners, and external experts to identify emerging opportunities, share best practices, and inform product area strategy, innovation priorities, and value realization activities.

• Ensure AI/DAR products and capabilities are delivered with appropriate attention to data quality, governance, privacy, security, compliance, audit readiness, and responsible AI principles.

Required Qualifications

• Bachelor’s degree in supply chain, life sciences, information systems, engineering, business, or a related discipline, with at least 7 years of relevant experience; or an equivalent combination of education and experience.

• Significant experience in digital product management, business transformation, data analytics, reporting, AI-enabled solutions, technology delivery, clinical supply chain, or related disciplines.

• Demonstrated ability to understand complex business processes and partner effectively with subject matter experts in highly regulated environments.

• Demonstrated experience leading product roadmaps, prioritization decisions, adoption activities, value realization initiatives, or technology-enabled business transformations.

• Demonstrated ability to elicit business needs and constraints and translate them into product priorities, roadmap recommendations, adoption plans, solution design inputs and measurable outcomes.

• Demonstrated leadership and influencing capabilities, including the ability to collaborate with peers, guide work across matrix teams, and deliver meaningful business outcomes without relying on direct authority.

• Excellent problem-solving skills and ability to think strategically across business process, data, technology, AI products, user experience and organizational readiness.

• Strong communication skills, with the ability to convey complex AI, analytics, reporting, process and technology information clearly and effectively to business, technical and senior leadership audiences.

• Familiarity with AI, machine learning, generative AI, predictive analytics, data products, data governance, reporting strategy, business intelligence tools, self-service analytics, and emerging digital technologies.

Preferred Qualifications

• Demonstrated experience in enterprise strategy, portfolio leadership, cross-product governance, investment prioritization, portfolio management, or product area operating models.

• Deep understanding of clinical supply chain processes, systems, planning, forecasting, manufacturing, distribution and supply decision-making, or demonstrated ability to rapidly acquire domain expertise in complex regulated business environments.

• Experience assessing, selecting, shaping or improving digital systems, reports, data products, analytics capabilities, AI-enabled tools or self-service analytics solutions to meet defined business needs.

• Demonstrated experience establishing and monitoring metrics to guide and drive product, process, technology, adoption or value realization improvements.

• Experience operating in a regulated environment, preferably within life sciences, clinical development, clinical supply, pharmaceutical operations or a comparable global business environment.

 
Work Location Assignment: Hybrid

Please apply by sending your CV and a motivational letter in English


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Logistics & Supply Chain Mgmt