About the role
Role Overview
The Agile Delivery Lead will manage end-to-end delivery of the Plan & Strategy – PPSD & AI Drafting initiative, ensuring predictable releases, effective backlog flow, dependency management, and measurable AI-assisted delivery outcomes.
The role requires experience leading distributed Agile teams, using Azure DevOps for delivery tracking, and embedding mandatory human review of AI-generated code, tests, and documentation into the team's delivery process.
Key Responsibilities
-
Lead Scrum/Kanban ceremonies and manage backlog flow in collaboration with the Product Owner.
-
Track delivery metrics such as cycle time, throughput, defect escape, AI adoption, review effort, and rework.
-
Ensure the Definition of Done includes mandatory human review of AI-generated output.
-
Maintain Azure DevOps dashboards, RAID logs, stakeholder reports, and requirement-to-test-to-defect traceability.
-
Use AI tools to support status reporting, risk analysis, and delivery insights.
-
Manage team onboarding, staffing continuity, and collaboration across distributed teams.
Mandatory Skills & Experience
-
8–10+ years of overall experience, with at least 3 years leading Agile teams.
-
Proven experience managing distributed teams of approximately 5–10 members across multiple time zones.
-
At least 1 year leading a team that delivers using AI tools.
-
Strong knowledge of Scrum/Kanban and delivery metrics.
-
Hands-on experience with Azure DevOps dashboards, reporting, and backlog tracking.
-
Experience defining and enforcing human review of AI-generated work before merge or release.
-
Ability to manage dependencies, risks, defects, delivery timelines, and stakeholder expectations.
-
Experience using AI tools such as ChatGPT, Claude, or Copilot for delivery reporting and analysis.
Preferred Skills
-
Experience in procurement, public-sector platforms, or PPSD-related initiatives.
-
Knowledge of Plan & Strategy – PPSD & AI Drafting.
-
SAFe Agile experience.
-
Familiarity with OutSystems Mentor and agentic coding/testing tools.
-
Experience with dedicated defect burn-down and collaborative document UX.
-
Experience tracking AI adoption, review effort, and AI-related rework.