Location: China - Shanghai - Shanghai
- 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.
- 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.
- 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.
- 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.
- 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
Additional Locations: China - Liaoning - Dalian, China - Zhejiang - Hangzhou, China - Beijing - Beijing
Job description provided by Pfizer.
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