Agile Coach

Responsibilities

• Align strategy to execution by translating enterprise priorities into actionable portfolio and team ways of working
• Enable end-to-end delivery by standardizing ways of working, PDLC practices, and execution consistency across teams and value streams
• Advance AI Operating Model adoption by coaching leaders and teams on AI-enabled roles, practices, and delivery models; drive responsible AI usage patterns (guardrails, quality, and reuse)
• Strengthen governance and metrics by delivering portfolio insights, dashboards, and data-driven decision support for leaders; use AI-assisted analysis to identify trends, risks, and improvement opportunities
• Scale coaching impact with AI and enterprise tooling by leveraging AI copilots/accelerators for facilitation prep, content creation, workflow automation, and insight synthesis; establish reusable prompt patterns and coaching assets
• Build enterprise capability by providing training, onboarding, and continuous skill refresh across roles (leaders, product, engineering, and delivery)
• Enable AI literacy and adoption through training, clinics, and office hours (prompting basics, role-based use cases, and safe ways to apply AI within delivery workflows)
• Launch new and guide existing teams through transformation by coaching leaders and teams on Agile principles, flow, and outcome-based planning
• Enable program and ART execution by facilitating key events (e.g., PI planning, backlog refinement, feature/story workshops, Scrum of Scrums, retrospectives)
• Identify, elevate, and help remove systemic impediments and dependencies that limit flow, predictability, and value delivery

• 5+ years of agile team & program level experience
• Agile or SAFe Practitioner certification
• Jira, Azure Dev Ops, Rally or similar Agile management tooling experience with preference for using AI-native tooling including Jira Rovo, Atlassian Intelligence or similar solutions
• Gen AI platform proficiency (e.g., Git Hub Copilot, Azure AI studio)
• Knowledge of Agile Engineering practices including AI Operating Model, Enterprise Architecture, Dev Ops (CI-CD, Test Driven Development, BDD, etc.) is a plus
• Product management and technology delivery experience valued
• Exceptional communication, influencing, leadership, and problem-solving skills, including the ability to explain complex delivery and AI concepts in practical terms
• Demonstrated fluency using AI copilots/accelerators to augment work (e.g., summarization, synthesis, drafting, analysis) and ability to coach others on effective prompt patterns and reusable workflows
• Working knowledge of responsible AI practices (data protection, confidentiality, model limitations, bias awareness) and ability to apply enterprise guardrails while enabling adoption
• Experience coaching through transformation, including operating model change, role clarity, and measurable improvements to flow, predictability, and outcomes
• Strong coaching, facilitating, mentoring and teaching skills
• Solid understanding of organizational change management.