Director, Enterprise Engineering, Deployment & Operations企业工程、部署与运维总监-上海/北京/杭州/大连

Director, Enterprise Engineering, Deployment & Operations — China

Role Snapshot

Function / Team: Commercial Excellence & Innovation (CEI) - Digital & Technology (Enterprise Engineering, Deployment & Operations)

Location:  China

Grade / Level: Director

Reports to: Digital & Technology Head (D&T Head)

1. Role Summary

The Director leads CEI enterprise engineering, production deployment and operations across software, integrations, APIs, automation, solution engineering, data-enabled products and intelligent applications.

This leader converts AITO-validated and POD solutions into secure, scalable, maintainable and supportable enterprise products. The role leads the shared engineering pool, integrates PIC and partner capacity into accountable delivery teams, and owns the path from detailed design through production deployment, scale and Run & BAU. The role delivers within the platform standards and Corporate and Global CIO alignment owned by the AI Platform & Foundation Director.

2. Key Accountabilities

• Define the enterprise engineering, deployment and operations strategy, operating model, standards and roadmap for CEI.

• Own solution engineering and establish reusable engineering patterns, APIs, shared services, development standards and quality controls, within the reference architectures set by AI Platform & Foundation.

• Lead a shared, deployable engineering pool and integrate internal engineers, PIC, systems integrators and contractors directly into accountable PODs and product teams.

• Own the MVP-to-scale and POD-to-production path, including detailed design, build, integration, testing, security remediation, release readiness, deployment and scale-up.

• Establish engineering excellence across code quality, peer review, automated testing, performance, scalability, resilience, documentation and technical debt management.

• Lead DevSecOps, CI/CD, environment management, SRE, technical observability and run-cost management for deployed products.

• Own Run & BAU performance across incidents, releases, access, service levels, operational readiness and business communications, ensuring every scaled product has a named BAU owner.

• Own China-compliant engineering vendor and contracting execution, with clear accountability across PIC, systems integrators and partners.

• Lead, develop and deploy engineering and operations talent and build a culture of accountable delivery.

3. Required Capabilities & Competencies

(a) Critical Capabilities & Qualifications

• Enterprise engineering leadership across software, integrations, APIs, automation, solution engineering and intelligent applications.

• Solution architecture, technical product delivery, production deployment, modernization and engineering operating models.

• DevSecOps, CI/CD, automated testing, SRE, security engineering, performance, resilience, cost and technical observability.

• Run & BAU, incident and release management, and vendor and systems integrator leadership.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or Engineering or a closely related discipline; an advanced technical or business degree is preferred.

• Typically 15+ years of progressive relevant experience, including several years leading teams and delivery at scope and complexity appropriate to similar level.

• Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.

• Experience in a highly regulated industry and the China technology, data, privacy or vendor environment is preferred.

(b) Leadership Expectations

• 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 peer teams and partners.

• Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry and continuously improves delivery.

• Engineering excellence: establishes disciplined practices for design, build, review, testing, deployment, documentation and maintainability.

4. Key Collaboration

The Director maintains strong partnership with Go-to-Market Transformation (GTMx), AI Transformation Office (AITO), Global Commercial Analytics (GCA), Commercial Excellence (CE), Pfizer Innovation Center (PIC) and peer D&T capabilities, to align product roadmaps, engineering capacity and dependencies with commercial priorities. The role works with AI Platform & Foundation, which owns Corporate and Global CIO alignment and platform standards, and with Data Engineering & Semantics on production data integration. It also works with global engineering teams, governance functions, vendors and systems integrators.

5. Measures of Success

• Faster and more predictable transition from validated MVP to compliant production and enterprise scale.

• Higher engineering quality, maintainability, reuse, performance, security and reliability.

• Effective POD engineering flow with clear ownership and integrated PIC and partner capacity.

• Reliable Run & BAU with improved release quality, recovery performance, service levels, cost efficiency and vendor accountability.

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.