Manager, Engineering Delivery

We are seeking a Manager to lead hands-on engineering delivery for assigned enterprise products, services or POD initiatives within Enterprise Engineering, Deployment & Operations.

The successful candidate will manage day-to-day design, build, integration, testing, deployment and operational readiness, ensuring 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.
• 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.
• 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.

Measures of Success:

• Predictable transition from validated MVP to compliant production and scale.
• 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.