Senior Scrum Master

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 teams 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

• 810 years of overall experience with at least 3 years leading Agile teams.
• Proven experience managing distributed teams of approximately 510 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.