Delivery management: end to end delivery ownership, cadences (planning, standups, retros), project tracking, early risk surfacing, delivery metrics (throughput, cycle time, reliability) used humanely, on time at quality
Incidents & quality: incident coordination and escalation, root cause analysis, holding the quality bar without becoming the bottleneck
Team leadership: 1:1s, coaching, retention (lowest turnover of the account), hiring at a high bar, grows autonomous Managers of One
AI in the process, with limits: builds and runs AI agents (Agent Squad) to optimise process, uses AI for planning, summaries and drafts, knows where not to trust it (verification, human control) · GitHub, Linear, Jira, documentation first
Technical & languages: technically credible (reads plans and PRs), APIs, cloud (Azure), CI/CD · fluent professional English (EN/ES)