Pfizer

Data Integration & Systems Senior Engineer

Posted 6 Hours Ago

Be an Early Applicant

2 Locations

Hybrid

Senior level

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

Lead site-level execution of data strategy, standards, and system integrations for regulated manufacturing. Design and maintain historians, data platforms, and application lifecycles to ensure compliant, reliable data flows that enable analytics and AI use cases. Collaborate with engineering, IT, quality, and business teams, support validation and inspection readiness, resolve integration incidents, and mentor team members.

Summary Generated by Built In

The Digital and Automation Data Integration & Systems Senior Engineer drives and contributes to the reliable, compliant, and efficient use of data across site Digital and Automation environments. The role focuses on focuses on coordinating execution of site-level data strategy, data standards, and system integrations in line with broader network strategies and global standards. The role also enables AI adoption by ensuring data foundations and supporting the deployment and scaling of AI-driven use cases across site operations.
This role drives and contributes to day-to-day execution, lifecycle, and project activities related to data systems, historians, integrations, and local applications. Working closely with system owners, engineering, project teams, validation, and business stakeholders, this role enables and optimises consistent data flows across core platforms while maintaining compliance, validation, and inspection readiness. The Senior Engineer provides technical guidance within defined scope, escalating to the DIS Team Lead where cross-site or strategic alignment is required.
Responsibilities

Data Strategy, Standards & Governance
- Coordinate and contribute to the development, documentation, and execution of the site end-to-end data strategy in alignment with network direction.
- Apply and reinforce data standards, enhancing deployment and adherence 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.
- Contributes to and interprets global data standards for local implementation by providing site operational knowledge
- undefined
- System Integration & Data Flow Enablement
  - Design, execute and support core system integrations, ensuring optimised, secure, and compliant data flow and connectivity across system layers
  - Monitor and support data connectivity, proactively identifying and resolving integration issues, data quality gaps, or performance risks within defined scope, escalating where appropriate.
  - Execute and improve implementation, configuration, and lifecycle management of site historians and data platforms to enable operational reporting, analytics, and continuous improvement.
  - Develop, enhance and rationalise local application lifecycle management, including development, configuration, upgrade, enhancements, rationalization, retirement and archiving as well as connectivity to data sources
  - Maintain accurate asset, configuration, and data mapping documentation to support lifecycle management, validation, and inspection readiness.
  - Participate in incident, deviation, and recovery activities to ensure timely restoration of services while maintaining data integrity and validated state control.
  - Provide technical review and guidance on integration and solution design decisions within site scope.
  - undefined
  - AI, Analytics & Innovation Enablement
    - Partner with site operational, process teams and digital innovation teams to implement 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.
    - Support scaling and industrialization of AI and analytics use cases.
- Key Attributes, Skills & Competencies
  - Strong knowledge of data architecture, system integration patterns, and data lifecycle management
  - Understands and applies data governance and quality principles and their application in manufacturing environments - accuracy, completeness, traceability, and timeliness.
  - Strong knowledge of GxP data integrity requirements and their implications for manufacturing data systems including digital and automation platforms, and cross-system data flows.
  - Experience with local application development and system connectivity, with the ability to evaluate and adopt emerging technologies, AI and Automation.
  - Ability to communicate and collaborate effectively with automation, IT, quality, and business partners to deliver shared outcomes.
  - Drives a continuous improvement mindset, seeking opportunities to simplify, standardize, and optimize data flows.
  - Supports and mentors team members in data systems, integration practices, and standards adoption.
  - Balances performance, compliance, and delivery priorities when designing and implementing solutions.
- Preferred Qualifications, Experience & Certifications
  - Bachelor's degree in engineering, Computer Science, Information Systems, Life Sciences, or related technical field
  - 2-4 years' experience in information technology systems/infrastructure or specialist knowledge of process automation/process control systems
  - 1-2 years in a regulated manufacturing environment (pharma or similar preferred)
  - Experience with Lean/Operational Excellence
  - Project/program management (PMI, Agile, SDLC) and continuous improvement (e.g., Six Sigma)
  - IT infrastructure management (e.g., ITIL) and GMP regulatory requirements experience preferred
  - undefined

Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Information & Business Tech
#BI-Hybrid

Skills Required

Strong knowledge of data architecture, system integration patterns, and data lifecycle management
Apply data governance and quality principles in manufacturing environments (accuracy, completeness, traceability, timeliness)
Strong knowledge of GxP data integrity requirements for manufacturing data systems and cross-system data flows
Experience with implementation, configuration, and lifecycle management of site historians and data platforms
Experience with system integrations, connectivity, and resolving data quality and performance issues
Ability to ensure work follows quality, validation, cybersecurity, regulatory requirements and SOPs
Experience with local application development, configuration, upgrades, enhancements, and retirement processes
Ability to communicate and collaborate effectively with automation, IT, quality, and business stakeholders
Ability to mentor/support team members and provide technical guidance within site scope
Bachelor's degree in Engineering, Computer Science, Information Systems, Life Sciences, or related technical field
2-4 years' experience in IT systems/infrastructure or specialist knowledge of process automation/process control systems
1-2 years' experience in a regulated manufacturing environment (pharma preferred)
Experience with Lean/Operational Excellence, Six Sigma, or continuous improvement methodologies
Project/program management knowledge (PMI, Agile, SDLC) and IT infrastructure management (ITIL)
Familiarity with GMP regulatory requirements in an IT or automation context

What the Team is Saying

Pfizer Compensation & Benefits Highlights

Healthcare Strength — Official materials describe comprehensive medical, dental, vision, and mental-health support, plus fertility/family‑building and transgender‑inclusive coverage; eligible Pfizer medications are noted as available at no cost in U.S. plans. Wellness resources such as telehealth and preventative programs are also emphasized.
Retirement Support — Company documents highlight a 401(k) with matching contributions plus an additional Retirement Savings Contribution beyond the match. Financial planning support and company‑paid life and disability insurance further bolster long‑term security.
Leave & Time Off Breadth — Corporate pages and job postings describe paid vacation and holidays, caregiver leave, and paid parental leave for both parents. Materials also note that details can vary by role and location.

Learn more about Pfizer's Compensation & Benefits →

Pfizer Insights

What's It Like to Work at Pfizer? Pfizer Culture & Values Pfizer Career Growth & Development What's the Work-Life Balance Like at Pfizer? Pfizer Leadership & Management Pfizer Company Growth, Stability & Outlook

View all jobs at Pfizer

View Pfizer Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.