CONFIDENTIAL: Sr. Srum Master- AI and Data — United States

Our client is seeking an experienced Senior Scrum Master to support a cross-functional team delivering AI, data, and technology solutions within a complex enterprise environment. This individual will strengthen Scrum effectiveness, coach teams toward greater self-management, and create visibility around priorities, risks, dependencies, and decisions while helping navigate the experimentation and evolving requirements common to AI-focused initiatives.

The ideal candidate is a strong leader and skilled facilitator who can create clarity without being overly prescriptive. They will bring a systems-thinking approach across people, process, technology, data, and governance, proactively surface risks, drive continuous improvement, and foster strong collaboration across technical and non-technical teams.

Key Responsibilities

• Establish and strengthen effective Scrum practices across a highly cross-functional technology team.

• Coach team members and Product Owners on self-management, collaboration, transparency, inspection, adaptation, and continuous improvement.

• Facilitate Sprint Planning, Daily Scrum, Sprint Reviews, Sprint Retrospectives, and backlog-refinement sessions.

• Ensure Scrum events are focused, inclusive, productive, and appropriately timeboxed.

• Foster psychological safety, accountability, and a shared focus on Product and Sprint Goals.

• Partner closely with Product Owners to clarify goals, refine and prioritize the backlog, surface assumptions, and organize work around measurable business or customer value.

• Support delivery across teams and disciplines including Product, Data Science, Data Engineering, Analytics, Platform Engineering, Security, Privacy, Legal, and business stakeholders.

• Identify and help resolve impediments related to data access, data quality, environments, infrastructure, tooling, governance, security, privacy, and cross-team dependencies.

• Help teams balance discovery, experimentation, and production delivery within the same operating model.

• Encourage clear hypotheses, evaluation criteria, reproducibility, operational readiness, monitoring, and appropriate rollback or stop criteria for AI and data initiatives.

• Maintain visibility into goals, work in progress, delivery risks, dependencies, impediments, and key decisions.

• Use metrics such as cycle time, throughput, aging work, and blocked time to identify opportunities for improvement.

• Facilitate alignment across technical and non-technical stakeholders and establish effective working agreements across teams.

• Escalate systemic challenges when issues cannot be resolved within the delivery team.

• Use lessons from Sprint Reviews, Retrospectives, delivery metrics, and team-health indicators to improve quality, predictability, decision-making, and delivery effectiveness.

• Coach leaders and adjacent teams on practical and effective Agile/Scrum adoption.

Required Qualifications

• Bachelor’s degree in a relevant discipline or equivalent professional experience.

• 6+ years of experience in a Scrum Master, Agile Delivery, Agile Coaching, or closely related role.

• Experience supporting complex, cross-functional product or technology teams.

• Demonstrated experience coaching teams and Product Owners in Scrum, backlog refinement, empirical planning, facilitation, conflict resolution, and continuous improvement.

• Experience working alongside software engineering, data, analytics, machine learning, AI, or platform teams.

• Ability to communicate credibly with highly technical specialists without directing their implementation work.

• Strong experience identifying delivery risks, dependencies, and impediments and driving resolution across organizational boundaries.

• Experience working within modern Agile/project-management and collaboration platforms such as Jira, Confluence, Miro, or similar tools.

Preferred Qualifications

• Scrum or Agile certification such as PSM, CSM, SAFe, or equivalent.

• Strong understanding of the software development lifecycle.

• Familiarity with modern AI and generative AI technologies and tools.

• Experience supporting AI, machine learning, advanced analytics, or data-intensive initiatives.

• Experience working within a large, matrixed enterprise environment.

• Previous experience coaching multiple teams or supporting broader Agile transformation initiatives.