Data, Integration & Systems (DIS) Team Lead

Pfizer; Michigan; On-site; USD 140,000 - 190,000; Full time

Job summary

Pfizer is seeking a DIS Team Lead to advance the site data strategy, standards, governance, and compliant data foundations across manufacturing operations.

You will oversee data integration, historians, and data platforms, drive AI-enabled analytics, and lead a cross-functional team to ensure inspection readiness and data reliability.

This role partners with global Digital & Engineering to deliver measurable value and foster continuous data maturity improvements across the site.

Qualifications

• Develop and implement site-end data strategy in line with network direction.
• Enforce data standards for structure, storage, and usage with compliance.
• Ensure data work follows quality, validation, cybersecurity, and regulatory SOPs.
• Represent site in cross-site standards harmonization and enterprise model evolution.

Responsibilities

• Oversee core system integrations ensuring secure data flow and connectivity.
• Develop and execute site data enablement roadmap with funding and resources.
• Identify and address data connectivity and quality gaps with escalation when needed.
• Validate asset hierarchy, equipment context, and batch identifiers in contextualization layer.
• Lead lifecycle management of site historians and data platforms for reporting and analytics.
• Manage local app development and connectivity to data sources; document mappings.

Skills

Data architecture

Data governance

System integration

Industrial data modeling

AI readiness

Leadership

Cross-functional collaboration

Tools

ISA-95

Historians

Data integration tools

Job description

Use Your Power for Purpose

The Digital and Automation Data, Integration & Systems (DIS) Team Lead is a key member of the Site Digital and Automation Leadership Team, responsible for leading this function.

Reporting to the Site Digital and Automation Lead, the role works in close partnership with the Shop Floor Insights Lead to ensure the reliable, compliant, and efficient use of data across site Digital and Automation environments.

The role establishes trusted, “AI-ready” data foundations to enable the delivery of innovative AI and analytics solutions for the site.

The role leads execution of site-level data strategy, data standards, and system integrations in alignment with network and global standards.

They ensure manufacturing data is accurately captured, contextualised against the enterprise data model, governed to GxP standards, and made available for site and enterprise use.

This role leads day-to-day execution, lifecycle, and project activities related to data systems, historians, core system integrations, and local applications.

The role owns the site data enablement roadmap and is accountable for advancing site data maturity.

This role enables consistent data flows across core platforms while maintaining compliance, validation, and inspection readiness.

The incumbent drives stakeholder engagement and cross-functional alignment across site and PNA network as well as collaborating with wider business stakeholders across Global Digital and Engineering functions.

What You Will Achieve

Data Strategy, Standards & Governance

• Lead the development, documentation, and execution of the site end-to-end data strategy in alignment with network direction.
• Drive and reinforce data standards to ensure consistency, integrity, and compliance in how data is structured, stored, and used.
• Ensure data-related work is executed in line with applicable quality, validation, cybersecurity, and regulatory requirements, following established SOPs and governance processes.
• Represent site in cross-site standards harmonization reviews, bringing site operational knowledge to inform enterprise model evolution.

System Integration & Data Flow Enablement

• Oversee and support core system integrations, ensuring seamless, secure, and compliant data flow, connectivity and design across system layers.
• Formulate and manage site data enablement roadmap. Develop and execute plans to advance site data maturity, including planning for funding, resources and above site support where required; and mapping to business value enabled for the site.
• Identify and pursue solutions to data connectivity, identifying integration issues, data quality gaps, or performance risks and escalating as required.
• Validate that asset hierarchy, equipment context, process parameters, and batch/lot identifiers are accurately represented in the contextualization layer.
• Lead implementation, configuration, and lifecycle management of site historians and data platforms to enable operational reporting, analytics, and continuous improvement.
• Drive local application development/ rationalization or configuration, including upgrades, enhancements, retirement and connectivity to data sources.
• Maintain accurate asset, configuration, and data mapping documentation to support lifecycle management, validation, and inspection readiness.
• Lead incident, deviation, and recovery activities to ensure timely restoration of services while maintaining data integrity and validated state control.

AI, Analytics & Innovation Enablement

• Partner with site operational, process teams and digital innovation teams to identify and prioritize data-driven use cases, translating business problems into data requirements.
• Enable use of data for analytics, AI, and innovation initiatives by ensuring data availability, reliability, and alignment to defined standards.
• Partner with above site teams to support deployment and scaling of approved digital, analytics, or AI use cases by executing data preparation, integration, and monitoring activities.
• Lead development and deployment of AI tools and agents to support Digital & Automation priorities.
• Promote AI fluency and data citizenship across teams, embedding consistent adoption and best practices.

Leadership and People Management

• Lead, coach, and develop site‑based colleagues and contract resources supporting digital and automation activities.
• Set clear expectations for behaviors, standards, and ways of working, including responsiveness, documentation quality, and delivery of core responsibilities.
• Conduct performance reviews to ensure career growth, and capability development across technical, operational, compliance, and problem‑solving areas to enable a future ready team.
• Foster a culture of ownership, collaboration, accountability, and continuous improvement across the team.
• Serve as a key member of the site Digital & Automation leadership community, partnering closely with peer leads across workstreams and with network partners.
• Ensure appropriate resourcing, succession planning, and capability building aligned to future digital and automation needs.

Key Attributes, Skills & Competencies

• Strong understanding of data architecture and lifecycle management, with experience across integration patterns, IT systems, and Digital & Automation platforms
• Demonstrated knowledge of industrial data contextualization concepts — mapping OT source data to structured models. Familiarity with ISA-95 equipment hierarchy and manufacturing operations data models.
• Awareness of industry developments in manufacturing AI, applies this awareness to shape data capability plans that deliver measurable business value.
• Demonstrated practical understanding of data governance and quality principles and their application in manufacturing environments accuracy, completeness, traceability, and timeliness.
• Understanding GxP data integrity requirements and their implications for manufacturing data systems. Experience with local application development and system connectivity.
• Proven ability to operate effectively in a federated model delivering locally while contributing to and aligning with enterprise standards.
• Ability to communicate and collaborate effectively with automation, IT, quality, and business partners to deliver shared outcomes.
• Adopts a continuous improvement mindset, seeking opportunities to simplify, standardize, and optimize data flows.