Manager, Data Warehouse Platform & Operations Engineer

Pfizer • New York City, NY

1d • Hybrid

About The Position

Pfizer Global Supply is transforming how data powers its end-to-end supply network. The Data Platform & Operations Engineer will drive adoption, value realization, and continued expansion of the PGS Operations platform for Manufacturing and Network Operations. The role coordinates delivery of new capabilities, supports modernization and innovation, and helps establish PGS OPS as a trusted foundation for operational analytics, AI, and reusable manufacturing and quality data products.

The role partners with Digital Manufacturing, site teams, and Enterprise Analytics to onboard high-value use cases and operational data sources. It requires broad manufacturing-domain knowledge and understanding of how near real-time data is collected from shop-floor and quality-laboratory systems, contextualized, governed, and integrated into Snowflake-based data lake and consumption environments. Strong working knowledge of data warehousing, SQL, Snowflake, Cortex capabilities, AI agents, and MCP is required to guide decisions and assess solution designs; this is not the primary hands-on engineering delivery role.

This is a global role involving collaboration across time zones. Periodic domestic and international travel may be required, as may occasional participation outside standard local working hours for global workshops, roadmap reviews, releases, or critical delivery activities. The role is not eligible for fully remote work. Candidates must be authorized to work in the United States by any employer; work visa sponsorship is not available. Relocation assistance may be available based on business needs and eligibility. The annual base salary range is $99,200 to $165,400, with eligibility for a Global Performance Plan bonus target of 12.5% of base salary and a share-based long-term incentive program.

Requirements

• Bachelor's degree with at least 4 years of experience; or master's degree with at least 2 years; or PhD with 0+ years; or associate's degree with 8 years; or high school diploma/equivalent with 10 years of relevant experience.
• Demonstrated experience supporting platform or product roadmaps, driving adoption, introducing new capabilities, and translating business priorities into scalable technology outcomes.
• Experience defining or managing data products, common data models, consumption layers, or shared data services for multiple business and technology consumer groups.
• Strong working knowledge of modern data warehousing, SQL, cloud data platforms, data modeling, data integration, performance, security, governance, and DataOps sufficient to guide decisions and evaluate solution designs.
• Experience with Snowflake or a comparable modern cloud data platform and familiarity with analytics and AI consumption patterns.
• Demonstrated ability to influence without direct authority and communicate platform priorities, trade-offs, measures, and outcomes to business, Enterprise Analytics, Digital, architecture, and engineering stakeholders.
• Ability to perform complex analysis and exercise sound judgment across interdependent business, data, platform, architecture, financial, and technology considerations.
• Ability to evaluate detailed roadmaps, solution designs, adoption measures, and scorecards when requirements or priorities may be incomplete or competing.
• Permanent work authorization in the United States; U.S. work visa sponsorship is not available.

Nice To Haves

• Advanced degree in a relevant discipline.
• Experience with Snowflake capabilities such as Snowpark, Streams, Tasks, Dynamic Tables, secure data sharing, and Snowflake Cortex.
• Experience with AI-ready data products, AI agents, MCP, Retrieval-Augmented Generation (RAG), semantic layers, ontologies, knowledge graphs, or governed AI-consumption patterns.
• Experience developing platform-adoption, data-product-health, DataOps, cost, value-realization, or AI-readiness scorecards and dashboards.
• Experience with metadata, catalog, lineage, data quality, observability, and governed-access capabilities, including tools such as Collibra and Acceldata.
• Knowledge of pharmaceutical manufacturing, supply chain, quality, GxP, or other regulated data environments.
• Experience operating in a federated model that combines business ownership with Digital engineering and platform delivery.

Responsibilities

• Drive adoption and value realization of the PGS OPS platform across Manufacturing and Quality by identifying priority sites, users, data products, and operational use cases.
• Develop and execute adoption plans that expand platform utilization, self-service access, and reuse of operational data products across sites and functional teams.
• Identify capability gaps, assess emerging operational-data and AI capabilities, recommend priorities, and partner with Digital to deliver approved platform enhancements.
• Partner with Manufacturing, Sites, Enterprise Analytics, and Digital teams to define and deliver reusable operational data products aligned to common manufacturing and quality concepts and business outcomes.
• Apply manufacturing-domain knowledge across production execution, process monitoring, asset performance, batch operations, quality control, laboratory operations, and operational excellence to shape useful data products.
• Maintain an understanding of near real-time shop-floor and laboratory integration patterns, including extraction, contextualization, transformation, reconciliation, governance, and availability of data from manufacturing execution systems, process control systems, historians, equipment, and laboratory information management systems.
• Coordinate onboarding of manufacturing sites, source systems, and data domains while promoting consistent metadata, lineage, data quality, security, and reusable integration patterns.
• Guide responsible use of Snowflake and relevant Cortex capabilities, including practical standards for AI agents and MCP solutions, and assess designs for alignment with platform direction.
• Develop and automate scorecards measuring platform adoption, data-product health, consumption, operational performance, business value, and AI readiness; use insights to support prioritization and continuous improvement.

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.
• Participation in Pfizer’s Global Performance Plan, with a bonus target of 12.5% of base salary.
• Eligibility to participate in a share-based long-term incentive program.
• Relocation assistance may be available based on business needs and/or eligibility.

What This Job Offers

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