Specialist Scrum Master - AI Products & Platforms

Roles & Responsibilities:

• Lead and continuously improve Agile delivery for one or more AI product or platform teams, adapting Scrum and Kanban practices to team context and delivery needs.
• Coach Product Owners, product managers, engineers, data scientists and stakeholders on Agile principles, outcome-focused planning, backlog quality and effective team collaboration.
• Partner with product and technical leaders to translate roadmaps and business priorities into clear goals, sequenced backlogs and achievable delivery plans.
• Facilitate planning, daily coordination, reviews, retrospectives, refinement and demonstrations. Ensure ceremonies result in clear decisions, ownership and follow-through.
• Identify and manage delivery risks, impediments, dependencies and capacity constraints. Drive timely resolution and escalate issues with clear impact, options and recommendations.
• Coordinate across teams and functions to align milestones, integration points and shared dependencies; represent team needs in cross-team planning and governance forums as appropriate.
• Use Jira, Confluence and delivery data to provide transparent reporting on progress, commitments, outcomes, risks and trends. Help leaders understand delivery health without relying on activity-only measures.
• Analyze predictability, flow, cycle time, scope changes and other relevant indicators to identify improvement opportunities. Facilitate experiments and track whether changes improve outcomes.
• Build team ownership, psychological safety and continuous improvement. Support conflict resolution and help teams address challenges constructively.
• Promote practical engineering and quality practices, including appropriate testing, automation, DevOps collaboration and responsible use of AI-enabled delivery tools.
• Contribute to Agile practice consistency and knowledge sharing across the AI & Data Organization; mentor Scrum Masters and support broader capability building as needed.
• Ensure Agile ways of working accommodate the needs of global, distributed and cross-functional teams.

• Bachelor’s or Master's degree in computer science, engineering, business or a related field and 8 to 12 years of relevant experience, including substantial experience as a Scrum Master or Agile delivery lead; OR An equivalent combination of education and relevant professional experience.

• Bachelor’s or Master's degree in computer science, engineering, business or a related field and 8 to 12 years of relevant experience, including substantial experience as a Scrum Master or Agile delivery lead; OR An equivalent combination of education and relevant professional experience.

Must-Have Skills:

• Recognized Scrum Master or Agile certification (e.g., CSM, PSM, SAFe Scrum Master or equivalent).
• Demonstrated experience facilitating Agile delivery and coaching teams and stakeholders beyond basic ceremony facilitation.
• Strong knowledge of Scrum and Kanban practices, backlog refinement, story slicing, estimation, sprint or flow planning, and continuous improvement.
• Experience using Jira and Confluence for team delivery, planning, risk visibility and reporting; Jira Align experience is beneficial where applicable.
• Ability to manage cross-team dependencies, delivery risks, impediments and competing priorities in a complex, changing environment.
• Experience using delivery metrics thoughtfully to identify trends, improve predictability and support informed decisions.
• Good understanding of the software development lifecycle and collaboration across product, engineering, data science, quality and operations.

Good-to-Have Skills:

• Experience supporting AI, data science, cloud, platform or other technically complex product teams.
• Working knowledge of DevOps, CI/CD, test automation, technical debt and software quality practices.
• SAFe or other scaling framework experience, with the ability to apply only the practices that add value to the teams.
• Experience mentoring Scrum Masters or contributing to an Agile community of practice.

Soft Skills:

• Excellent facilitation, coaching, influencing and conflict-resolution skills.
• Clear written and verbal communication, including the ability to translate technical delivery topics into concise business language.
• Sound judgment and analytical problem-solving skills; able to distinguish meaningful delivery signals from activity metrics.
• Ability to build trusted relationships with global, virtual and cross-functional teams at different organizational levels.
• High degree of initiative, adaptability and accountability; able to manage multiple priorities while maintaining focus on outcomes.
• Collaborative and inclusive approach that encourages team ownership, learning and continuous improvement.