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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise engineering, solution architecture, and production deployment, with a strong focus on CI/CD, DevSecOps, and operational readiness. Proven ability to lead cross-functional teams and manage vendor relationships in highly regulated environments.
Highest-signal resume keywords
Enterprise EngineeringSolution ArchitectureCI/CDDevSecOpsProduction Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringIntegration EngineeringAPI DevelopmentAutomation EngineeringTechnical ObservabilityScalabilityResilienceMaintainabilityAutomated TestingTechnical Debt Management
Soft Skills
Clear CommunicationMentoringCross-Functional CollaborationDecision DocumentationOutcome Ownership
Tools & Technologies
SREBusiness CommunicationsGovernance FunctionsVendor ManagementSystems Integration
Industry Keywords
Pharmaceutical IndustryHighly Regulated IndustryChina TechnologyData PrivacyVendor Environment
About the role
Key responsibilities & impact- Provide senior technical and delivery leadership within Enterprise Engineering, Deployment & Operations
- Own one or more capability areas including roadmap, standards, engineering delivery, controls, service expectations and lifecycle outcomes
- Lead and govern enterprise solution architecture and production engineering
- Lead and govern enterprise engineering and product deployment across software, integration, API, automation and solution engineering
- Govern CI/CD, production deployment, scale-up, application SRE, security, cost and technical observability
- Lead and govern a shared deployable engineering pool integrating internal engineers, PIC, systems integrators and contractors into accountable POD and product teams
- Lead and govern product and application Run & BAU, including incidents, releases, access, service performance, operational readiness and business communications
- Own production-readiness and go-live gates following AI platform technical qualification where applicable
- Govern China-compliant local vendors, solution delivery contracts and compliant contracting execution
- Lead complex POD engineering, resolve technical dependencies and transition validated MVPs into production and BAU
- Coordinate internal engineers, PIC, systems integrators and contingent resources as one delivery team
- Mentor Managers and engineers
- Collaborate with AITO AI Platform & Foundation, Data Engineering & Semantics, Business Units, GTMx, GCA, CE, global engineering teams, governance functions, vendors and systems integrators
Requirements
What you’ll need- 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
- Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, Engineering or a related computing discipline
- 10+ years of progressive relevant experience based on a bachelor’s degree; a master’s or doctoral degree may reduce the years required
- 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
- Outcome ownership connecting decisions to measurable business, user, service and transformation outcomes
- Responsible AI, reuse, architecture, security, privacy and scale principles
- Clear accountability and effective cross-functional execution across Business Units, GTMx, GCA, CE, AITO, PIC and peer D&T capabilities
- Clear communication, decision documentation, evidence and telemetry-based improvement
Benefits
Comp & perks- Equal opportunity employment
- Acceptable and prohibited AI-use guidelines during recruitment