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Pfizer

Manager, Enterprise Engineering, Deployment & Operations

Pfizer

. Lead day-to-day engineering execution for assigned products, services or POD outcomes .

Posted 11/11/2026full-timeShanghai • ChinaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise engineering, product deployment, and managing complex engineering teams within regulated environments. Proficient in CI/CD, DevSecOps, and ensuring compliance with local vendor management and technical observability.

Highest-signal resume keywords
Enterprise EngineeringCI/CD ManagementDevSecOpsProduct DeploymentVendor Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringIntegration EngineeringAPI DevelopmentAutomation EngineeringSolution ArchitectureAutomated TestingScalabilityTechnical ObservabilitySecurity PrinciplesTechnical Debt Management
Soft Skills
Stakeholder CommunicationCross-Functional CollaborationCoaching
Tools & Technologies
AI PlatformProduction Deployment ToolsSRE Tools
Industry Keywords
Pharmaceutical IndustryRegulated IndustryChina Technology EnvironmentData Privacy

About the role

Key responsibilities & impact
  • Lead day-to-day engineering execution for assigned products, services or POD outcomes
  • Plan and assure execution of enterprise engineering and product deployment, including software, integration, API, automation and solution engineering
  • Manage 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 pools integrating internal engineers, PIC, systems integrators and contractors into accountable POD and product teams
  • Plan and assure execution of product and application Run & BAU, including incidents, releases, access, service performance, operational readiness and business communications
  • Manage evidence for production-readiness and go-live gates, following AI platform technical qualification where applicable
  • Manage 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
  • Collaborate with AITO AI Platform & Foundation, Data Engineering & Semantics, Business Units, GTMx, GCA, CE, global engineering teams, governance functions, vendors and systems integrators
  • Deliver predictable transition from validated MVP to compliant production and scale, with a named BAU owner for every scaled product
  • Improve engineering quality, reuse, automated testing, reliability, performance and maintainability
  • Reduce delivery friction and clarify accountability across internal teams, PIC and partners
  • Ensure reliable Run & BAU with transparent risks, technical debt, cost and service-health measures

Requirements

What you’ll need
  • 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
  • A master’s or doctoral degree may reduce the years required
  • 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
  • Enterprise engineering across software, integration, API, automation and solution engineering, and enterprise and solution architecture
  • Knowledge of reusable patterns, code and design quality, automated testing, scalability, resilience, maintainability and technical debt
  • Knowledge of DevSecOps, CI/CD, product deployment, SRE, security, cost and technical observability, Run and BAU, and vendor and systems integrator management
  • Ability to apply responsible AI, reuse, architecture, security, privacy and scale principles
  • Ability to work across cross-functional teams and stakeholders in a matrixed environment