Scrum Master

Scrum Master - Mode 2 - Digital

The Delivery Practice Coach (TS03) is a hands-on technical coach who helps product engineering teams improve how they deliver software in an AI-accelerated environment. This role focuses on enabling teams to adopt AI-assisted engineering practices, strengthen delivery discipline, and improve flow and predictability. It is not a traditional process or ceremony-focused coaching role. Instead, it emphasizes practical improvement grounded in real engineering work. Approximately half of this role is focused on AI enablement and AI-assisted engineering, with the remaining time split between delivery practices and flow optimization.

How Time Is Spent

• 50% – AI Enablement and AI-Assisted Engineering
• 25% – Delivery Practices and Operational Discipline
• 25% – Flow Optimization and Throughput Improvement

Core Responsibilities

AI Enablement and AI-Assisted Engineering (approximately 50%) Delivery Practice Coaches help teams meaningfully integrate AI into how they plan, build, test, document, and review software. They act as experienced AI practitioners themselves, using AI in real workflows to validate guidance and reduce uncertainty for teams.

• Coach product managers, technical leads, and engineering managers on practical, responsible AI usage across real engineering workflows.
• Use personal hands-on AI experience to validate recommendations and build credibility.
• Help teams redesign workflows to take advantage of AI while maintaining quality, security, and engineering standards.
• Translate emerging AI capabilities into clear team practices, guardrails, and learning paths.
• Address resistance, misuse concerns, and quality risks through coaching and enablement rather than mandates.
• Help teams and leaders think ahead about how AI is changing the software development lifecycle and what needs to evolve now.

Delivery Practices and Operational Discipline (approximately 25%) Delivery Practice Coaches strengthen how teams deliver by improving execution, reliability, and discipline without adding unnecessary process.

• Diagnose delivery risks related to quality, reliability, dependencies, and operational health.
• Coach teams on modern delivery and engineering practices that improve outcomes.
• Help teams align delivery behaviors and metrics with product and organizational goals.
• Validate improvements using data, observation, and lightweight experimentation.
• Partner with engineering and product leaders to resolve recurring delivery challenges.

Flow Optimization and Throughput Improvement (approximately 25%) Delivery Practice Coaches help teams improve speed and predictability by removing friction and constraints rather than increasing pressure.