Director, PGS and Enterprise Solutions Data Management & Engineering

Pfizer; Pennsylvania; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work arrangement

Travel flexibility

Job summary

Pfizer seeks a Lead data management and engineering professional to direct data ingestion, integration, and quality assurance for Global Supply in a GxP-regulated environment. The role focuses on scalable, high-integrity data pipelines across manufacturing, quality, and supply chain systems.

You will establish DataOps, monitor pipeline performance, and lead a distributed team across geographies, coordinating with data, analytics, AI, and digital solution teams, and interfacing with platform and

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• 8+ years of progressive experience, including 3+ years leading technical teams.
• Proven expertise in enterprise-scale data pipeline ownership, data quality, lineage, observability, and regulatory standards.

Responsibilities

• Oversee data ingestion, integration, and quality assurance, ensuring data completeness, accuracy, traceability, and compliance with regulations such as 21 CFR Part 11 and GAMP 5.
• Establish DataOps practices, monitor pipeline performance, and certify data products as trusted.
• Lead a distributed team across geographies, collaborating with data, analytics, AI, and digital solution teams, and interfacing with platform and operations groups.

Skills

Data pipeline ownership

Data quality

Data lineage

Observability

Regulatory standards

Team leadership

Education

Bachelor's degree in Engineering, Computer Science, or related field

Job description

Role

Lead data management and engineering for Pfizer's Global Supply (PGS) in a GxP-regulated environment, focusing on building and operating scalable, high-integrity data pipelines across manufacturing, quality, and supply chain systems.

Responsibilities

• oversee data ingestion, integration, and quality assurance, ensuring data completeness, accuracy, traceability, and compliance with regulations such as 21 CFR Part 11 and GAMP 5.
• establish DataOps practices, monitor pipeline performance, and certify data products as trusted.
• Lead a distributed team across geographies, collaborating with data, analytics, AI, and digital solution teams, and interfacing with platform and operations groups.

Qualifications

• bachelor's in Engineering, Computer Science, or related field.
• 8+ years of progressive experience, including 3+ years leading technical teams.
• proven expertise in enterprise-scale data pipeline ownership, data quality, lineage, observability, and regulatory standards.

Preferred

• experience in manufacturing data sources like historians, MES, LIMS, SCADA, ERP.
• familiarity with cloud data platforms, data product frameworks, ISA-95/88 standards.
• global team leadership and cross-functional collaboration.

High-Value

biopharma manufacturing data, GxP compliance, regulatory certification, enterprise data estate, and operational data sources.

Work setup

hybrid; some travel expected.