ROLE SUMMARY
The Data and Analytics Solutions team, which is part of PGS (Pfizer Global Supply) Creation Center within the Chief Digital Office, is responsible for the development and management of all data and analytic tools and applications across PGS value streams. The team’s focus is transforming PGS with trusted, AI-ready data, solutions & capabilities through robust Data Governance and AI technologies by automating processes, augmenting personas and accelerating insights to foster a Data-Driven culture.
As a Senior Manager – External Supply (ES) Lead, you will be lead and be responsible to orchestrate solution strategy, delivery, and adoption of analytical solutions across ES operations, CMO Collaboration and Pfizer Center One business functions, ensuring resilient supply, faster decisions, and measurable business value. You will work closely with ES leadership to guide them on AI strategy to enhance decision making and improve overall operational efficiency. You will partner with Forward Impact teams, AI CoE, other Digital PGS Creation Center teams, and Platform teams to turn strategy into scaled solutions aligned to PGS priorities. You will lead a team of technical and delivery professionals in this capacity, while influencing business stakeholders and communicate progress and outcomes to executive leadership.
ROLE RESPONSIBILITIES
Reporting to the Director of Supply Execution & Strategy Solutions, the External Supply Lead will be responsible for the following:
Lead the end‑to‑end data and analytics strategy for External Supply (ES), ensuring alignment with PGS Data Lake, ES Digital, and Creation Center workstreams.
Establish and enforce data governance standards, data quality rules, and health checks across supplier/vendor-linked datasets, ensuring reliable, compliant, and interoperable data.
Drive integration of ES data into enterprise platforms (Data hub, SAP/S4, Rapid Response, SupplyIQ), ensuring stable pipelines, lineage tracking, and metadata transparency.
Oversee data, analytics, automation, and reporting workstreams across all External Supply projects, Pfizer Contract manufacturing, ensuring scope clarity, milestone delivery, and cross‑functional alignment.
Serve as the primary analytics partner to ES Creation Centers, ensuring their digital, master data, and operational requirements are reflected in digital roadmap and vision.
Provide data‑driven insights that support prioritization, investment decisions, and digital transformation initiatives across the ES network.
Champion a value‑driven delivery mindset – prioritizing use cases based on impact, feasibility, and ROI, and guiding teams to build scalable solutions that accelerate enterprise‑wide adoption.
Ensure all data, analytics, and automation initiatives are grounded in clear business outcomes, measurable value, and alignment with ES and PGS strategic objectives.
Drive a culture of data literacy, transparency, and evidence‑based decision‑making within ES Creation Centers and broader external supply teams.
Professional Experience and Educational Requirements
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field with 6+ years of experience OR Master’s degree (preferred) with 5+ years of experience as a Data Engineer / 3+ years of experience as a Data Architect with Data warehousing, Data modeling, and Data transformation
Requires exceptional knowledge of Supply Chain processes and applies these skills to ensure a External Supply organization meets its goals
Ability to Innovate, exceptional leadership, strategic thinking, and executive communication skills are required
Strong business acumen and ability to influence in a global, matrixed organization
Familiarity with emerging AI frameworks and libraries (LangChain, LlamaIndex, vector stores) and their application to solving supply‑chain and manufacturing challenges.
Deep understanding of Large Language Models (LLMs), prompt engineering, fine‑tuning, model evaluation, and responsible AI practices for regulated environments.
Practical expertise in building, deploying, and optimizing Agentic AI systems, including tool‑using agents, workflow orchestration, and autonomous task execution frameworks.
Experience designing end‑to‑end AI pipelines—data ingestion, feature/embedding generation, model integration, and enterprise deployment across cloud platforms (AWS/Azure).
Experience with Software engineering best-practices, including but not limited to version control (Git, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, etc.), automated unit testing, Dev Ops.
Experience with one or more general purpose programming languages, including but not limited to: SQL, Java, Scala, C, C++, C#, Swift/Objective C, Python, or JavaScript
Understanding of AWS Cloud stack (EC2, S3, Redshift) and MS Azure
Understanding and experience of modern data platforms like (Snowflake, Redshift, BigQuery, Spark, Teradata, etc.).
Architected end-to-end data pipelines with a cloud or on prem stack
Working knowledge of Biotech / Pharma Supply Chain experience is a plus
Preferred Qualifications
Advanced degree in Computer Engineering, Computer Science, Information Systems, or a related field.
Hands‑on Agile experience with modern delivery methodologies and cross‑disciplinary team environments.
Working knowledge of ML‑powered and LLM‑based products, including experience with agentic AI approaches.
Experience designing automated, reusable analytic workflows and model pipelines for enterprise use.
Strong capability in building data and analytic products that resonate with both technical and non‑technical users.
Pharma & Life Sciences commercial domain knowledge and data literacy.
Experience with agentic AI platforms such as Azure AI Foundry.
Professional and Leadership Characteristics
Strategic Thinker: Understands the overall context, business implications and is able to think through a problem both conceptually and logically for better solutions
Creative: Able to bring forth new ideas to improve our existing practices and takes calculated risks to innovate new capabilities within Pfizer Digital, with a focus on data products and analytics solutions
Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers
Adaptable: Demonstrates flexibility in the face of shifting targets, thrives in new situations
Pioneering: Pushes self and others to think about new innovation and digital frontiers and ways to conquer them
Ambiguity Tolerant: Successfully navigates ambiguity to keep the organization on target and deliver against established timelines
Exceptional Communicator: Can understand, translate, and distill the complex, technical findings of the team into commentary that facilitates effective decision making by senior leaders; can readily align interpersonal style with the individual needs of customers
Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust ofthe team
Proactive Self-Starter: Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data
Creative: Able to bring forth new ideas to improve our existing practices and takes calculated risks to innovate new capabilities within Business Analytics, with a focus on data products and analytics solutions
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.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
20% travel may be required based on delivery and project priorities
Other Job Details:
Last Date to Apply for Job: Feb 20th, 2026
Work Location Assignment: Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business
Relocation assistance may be available based on business needs and/or eligibility.
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EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
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