Scrum Master
Role Overview
The AI-Native Team Coach enables teams to adopt, apply, and continuously improve an AI-Native delivery model.
This shared Lean-Agile Centre of Excellence role supports multiple teams, builds delivery capability, and helps teams become increasingly autonomous.
The role coaches delivery processes and ways of working; business Product roles and the AI Value Architect own value, priorities, and solution direction, while teams own delivery accountability.
Key Skills for This Role
Full Job Posting
Role overview
The AI-Native Team Coach enables teams to adopt, apply, and continuously improve an AI-Native delivery model.
This shared Lean-Agile Centre of Excellence role supports multiple teams, builds delivery capability, and helps teams become increasingly autonomous.
The role coaches delivery processes and ways of working; business Product roles and the AI Value Architect own value, priorities, and solution direction, while teams own delivery accountability.
Accountabilities
- Contribute to evolving an AI-Native delivery model using Lean, Agile, Scrum, and Kanban, adapted to organisational, security, and operational needs.
- Coach teams to establish consistent practices and develop greater autonomy as their capability matures.
- Help teams use outcome, flow, quality, and team-health measures for learning, decisions, and improvement.
- Identify appropriate AI-supported delivery opportunities while maintaining human judgement, review, validation, and accountability.
- Help teams address impediments and facilitate broader intervention for systemic constraints.
- Build teams’ capability to manage planning, coordination, reviews, and improvement activities.
- Share delivery learning, reusable practices, effective AI uses, and improvement opportunities across teams and the Centre of Excellence.
Education and experience
- At least 8 years of experience.
- Demonstrated experience coaching Agile teams and improving technology delivery systems in a complex enterprise environment.
- Experience establishing teams or helping them adopt, stabilise, and mature new ways of working.
- Experience coaching multiple teams or working across a portfolio, division, or value stream.
- Experience using delivery, flow, outcome, quality, and team-health measures for evidence-based improvement.
- Practical understanding of AI capabilities in planning, backlog refinement, analysis, development, testing, knowledge sharing, and continuous improvement.
- Strong coaching, facilitation, communication, and stakeholder-engagement skills.
- Experience using Jira or comparable work-management and delivery tools.
- An appropriate coaching or Agile certification, such as SAFe Practice Consultant, ICP-ACC, ICP-ATF, Certified Scrum Professional, PSM, or equivalent, is requested; small, cross-functional, or highly AI-enabled team experience is preferred.
Methods and capabilities
- Strong practical knowledge of Lean and Agile principles, Scrum, Kanban, flow, empiricism, and continuous improvement.
- AI capabilities should be used with appropriate human judgement, review, validation, and accountability.
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