Engineering Manager

• Own Velocity Metrics End-to-End
• Define, instrument, and drive metrics across all 56+ PODs.
• Build real-time dashboards showing flow efficiency, bottlenecks, and trends
• Establish speed as a first-class KPI
• Report directly to Group COO on velocity improvements and blockers
• Eliminate Deployment Pipeline Waste
• Reduce the wait time by automating manual confirmations, approvals, and handoffs
• Design and implement progressive rollout strategies with automated rollback
• Build automated testing frameworks that eliminate hours of manual test confirmation
• Work with Control functions to shift left into the pipeline
• Architect for Flow Across 56+ PODs
• Understand dependencies across PODs
• Identify and eliminate coordination bottlenecks between PODs
• Design self-service platform capabilities to reduce dependency on PODs
• Transform CAB approval process from manual gate to automated guardrails
• Establish risk-based deployment strategies (not all changes need same approval rigor)
• Enable Platform Teams for Maximum Impact
• Partner with Pipeline & DevEx POD to build world-class deployment automation
• Work with Testing Automation POD to create comprehensive, fast, reliable test suites
• Collaborate with Platform & Cloud POD on infrastructure-as-code and ephemeral environments
• Guide Incident Management POD toward predictive alerting and auto-remediation
• Ensure platform investments directly reduce deployment lead time
• Prepare for AI Agent Deployment at Scale
• Recognize that AI agents are software workers requiring rapid iteration
• Design deployment pipelines that support rapid deployment frequency
• Ensure infrastructure can handle multiple deployments per day across all PODs
• Build observability and rollback capabilities for AI agent updates

Head of Engineering, Velocity & Flow

Head of Engineering