Director, Engineering Performance & AI Metrics
Core
Defines and leads the organization's Agile & AI performance measurement practice, establishing frameworks to measure delivery flow, predictability, quality, and business value in AI-enabled environments.
Role type
Director, Engineering Performance & AI Metrics
Builds
Enterprise measurement frameworks, analytics platform strategy, and executive-level performance insights.
Domain
Software Engineering, Agile Delivery, Generative AI, Organizational Performance
Deliverable
dashboards & analysis
Required skills
Agile delivery excellence, enterprise performance frameworks (SPACE, DORA), GenAI and agentic AI adoption assessment, executive storytelling, data governance, strategic roadmap planning, team capability building
Preferred skills
Power BI, Atlassian tools, engineering productivity analysis, transformation leadership
Technologies
Power BI, Atlassian
Responsibilities
Establish Agile & AI performance measurement practice and operating model; Define enterprise measurement frameworks for agile delivery and AI-enabled ways of working; Augment traditional metrics with KPIs for human-AI collaboration and automation effectiveness; Own the Engineering performance analytics platform strategy; Translate performance data into executive-ready stories; Partner across engineering, finance, and leadership to connect insights to business outcomes; Build and lead a high-performing performance measurement practice
Seniority
Director, strategy & mentorship
