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We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Leads enterprise engineering delivery across software, integration, APIs, automation, deployment, SRE, security, observability, and production operations. Manages engineering backlogs, releases, operational readiness, vendors, systems integrators, risks, testing, and stakeholder communications. Ensures scalable, reliable, secure, compliant production deployments and effective Run and BAU ownership, including AI-enabled applications on China’s AI platform.
Summary Generated by Built In
1. Role Summary
The Manager leads hands-on engineering delivery for assigned enterprise products, services or POD initiatives within Enterprise Engineering, Deployment & Operations, with a focus on product deployment or Run & BAU and vendor management.
The role manages day-to-day design, build, integration, testing, deployment and operational readiness, and ensures quality, security, scalability, maintainability, reliability and supportability.
2. Key Accountabilities
3. Required Capabilities & Competencies
4. Key Collaboration
It delivers within the platform standards and AI platform technical qualification requirements owned by AITO AI Platform & Foundation; manages solution and application engineering, product deployment and production readiness; works with Data Engineering & Semantics on production data integration; engages Business Units, GTMx, GCA and CE; and works with global engineering teams, governance functions, vendors and systems integrators.
5. Measures of Success
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
The Manager leads hands-on engineering delivery for assigned enterprise products, services or POD initiatives within Enterprise Engineering, Deployment & Operations, with a focus on product deployment or Run & BAU and vendor management.
The role manages day-to-day design, build, integration, testing, deployment and operational readiness, and ensures quality, security, scalability, maintainability, reliability and supportability.
2. Key Accountabilities
- Lead day-to-day engineering execution for assigned products, services or POD outcomes.
- Plan and assure execution of enterprise engineering and product deployment - software, integration, API, automation and solution engineering; product-level CI/CD, production deployment, scale-up, application SRE, security, cost and technical observability, including AI-enabled business applications on the China AI platform.
- Plan and assure execution of Shared, deployable engineering pool - integrating internal engineers, PIC, systems integrators and contractors into accountable POD and product teams.
- Plan and assure execution of product and application Run & BAU - incidents, releases, access, service performance, operational readiness and business communications - and manage evidence for the production-readiness and go-live gate, following AI platform technical qualification where applicable.
- Plan and assure execution of Vendor management - China-compliant local vendors, solution delivery contracts and compliant contracting execution.
- Manage engineering backlog, estimates, dependencies, risks, reviews, testing, release readiness and stakeholder communication.
- Coordinate PIC, vendor and systems-integrator engineers, verify deliverables and coach Senior Associates.
3. Required Capabilities & Competencies
- Enterprise engineering across software, integration, API, automation and solution engineering, and enterprise and solution architecture.
- Reusable patterns, code and design quality, automated testing, scalability, resilience, maintainability and technical debt.
- DevSecOps, CI/CD, product deployment, SRE, security, cost and technical observability, Run and BAU, and vendor and systems integrator management.
- Outcome ownership: connects decisions to measurable business, user, service and transformation outcomes.
- AI-first and enterprise-minded: applies responsible AI, reuse, architecture, security, privacy and scale principles appropriate to the work.
- POD collaboration: enables clear accountability, effective cross-functional execution and minimal handoff friction across Business Units, GTMx, GCA, CE, AITO, PIC and peer D&T capabilities.
- Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry and continuously improves delivery.
- Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, Engineering or a related computing discipline.
- 8+ years of progressive relevant experience based on a bachelor's degree, where a master's or doctoral degree may reduce the years required, with scope and judgment consistent with this role.
- Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.
- Experience in the pharmaceutical or another highly regulated industry, and the China technology, data, privacy or vendor environment, is preferred.
4. Key Collaboration
It delivers within the platform standards and AI platform technical qualification requirements owned by AITO AI Platform & Foundation; manages solution and application engineering, product deployment and production readiness; works with Data Engineering & Semantics on production data integration; engages Business Units, GTMx, GCA and CE; and works with global engineering teams, governance functions, vendors and systems integrators.
5. Measures of Success
- Predictable transition from validated MVP to compliant production and scale, with a named BAU owner for every scaled product.
- Improved engineering quality, reuse, automated testing, reliability, performance and maintainability.
- Lower delivery friction and clearer accountability across internal teams, PIC and partners.
- Reliable Run & BAU with transparent risks, technical debt, cost and service-health measures.
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
Skills Required
- Bachelor’s degree or higher in Computer Science, Software Engineering, Information Technology, Engineering, or a related computing discipline
- 8+ years of progressive relevant experience with scope and judgment consistent with the role
- Experience across software, integration, API, automation, solution engineering, and enterprise or solution architecture
- Experience with DevSecOps, CI/CD, product deployment, SRE, security, observability, Run and BAU, and vendor or systems integrator management
- Ability to work across business, product, technology, data, and governance stakeholders in a matrixed environment
- Experience in the pharmaceutical or another highly regulated industry
- Experience with China technology, data, privacy, or vendor environments
What the Team is Saying
Daniel
Diagnostics Launch Lead
Anna
R&D Privacy Steward
Esteban
Specialist
Pfizer
Pfizer Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is described as comprehensive, with multiple plan options, dental and vision, mental-health services, telehealth, and eligible Pfizer medications at no cost. Family-building benefits such as infertility treatment, adoption, and surrogacy support further reinforce the offering.
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Retirement Support — Retirement support includes a 401(k) with employer matching plus an additional company retirement contribution, alongside access to financial-planning resources. This combination is positioned as a meaningful part of total rewards.
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Leave & Time Off Breadth — Paid time off includes 15 holidays, three to six weeks of vacation depending on service, and the option to purchase additional vacation weeks, plus dedicated caregiver-leave days. Twelve weeks of paid parental leave and backup care resources add flexibility for family needs.
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The Company
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.
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Pfizer Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
2.5 days a week
Hudson Yards
Provincia de Buenos Aires
Andover, MA
Athens, GR
Chennai, IN
Collegeville, PA
Durham, NC
Groton, CT
Madison, NJ
Madrid, ES
Mumbai, Maharashtra
Rochester, MI
San Diego, CA
Seattle, WA
Tampa, FL
Center for Digital Innovation
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