Director, Engineering Performance & AI Metrics

What You’ll Do

• Establish and lead the Agile & AI performance measurement practice, including its operating model, governance, standards, team capability, and roadmap.
• Define enterprise measurement frameworks for agile delivery and AI-enabled ways of working, covering flow, predictability, quality, value realization, team health, adoption, and productivity impact.
• Augment traditional agile performance metrics with new KPIs that reflect total system health in an agentic landscape, including human‑AI collaboration, automation effectiveness, work orchestration, quality signals, risk, governance, and team sustainability.
• Own the Engineering performance analytics platform strategy and roadmap, addressing data quality, governance, tooling integration, investment recommendations, and scalable visibility across engineering and agile delivery.
• Translate performance data into executive‑ready stories that connect trends, risks, systemic bottl...