Scrum Master -Data & Analytics

American IT SystemsHouston, TX
Onsite

About The Position

We are seeking a highly experienced Scrum Master to join our Data & AI Products team. This role is crucial for enabling scaled delivery across our Data & AI products, driving coordination across numerous agile teams, and ensuring alignment from portfolio priorities down to team-level execution. The ideal candidate will have a proven track record in SAFe environments, experience managing complex, multi-team, and multi-vendor deliveries, and a strong ability to manage dependencies and prioritize backlogs. You will be instrumental in fostering execution discipline, maintaining delivery visibility, removing systemic friction, and supporting complex Data & AI delivery, including AI/ML models, data pipelines, platforms, and applications. This is a contract role requiring a strong bias for execution, ownership, and accountability, with excellent communication skills to drive clarity and alignment across diverse teams.

Requirements

  • 8-10 years of experience as IT Scrum Master
  • 3+ years of experience in IT delivery, Agile programs, or Scrum leadership roles
  • 5+ years of experience supporting enterprise Data & Analytics or AI initiatives
  • Proven experience working in a SAFe (Scaled Agile Framework) environment
  • Experience operating across large, multi-team and multi-vendor delivery environments
  • Strong capability in backlog prioritization support and dependency management
  • Demonstrated ability to scale delivery beyond a single team to a platform or portfolio level
  • Ability to quickly learn new tools, processes, and technologies and adapt to change
  • Comfortable working across data platforms, AI/ML initiatives, and engineering teams
  • Strong bias for execution, ownership, and accountability
  • Direct communicator who can drive clarity, alignment, and action across diverse teams

Responsibilities

  • Enable scaled delivery across Data & AI products
  • Drive coordination across 10+ agile teams
  • Align multiple teams working on shared data, AI, and platform capabilities without slowing delivery
  • Operate effectively within a SAFe environment
  • Support PI planning, execution, and cross-team alignment across Agile Release Trains (ARTs)
  • Ensure work is aligned from portfolio priorities down to team-level execution
  • Drive execution discipline
  • Enforce strong backlog hygiene, sprint readiness, and clear acceptance criteria
  • Ensure teams execute consistently with a focus on outcomes, not ceremonies
  • Own backlog prioritization support
  • Partner with Product Owners to maintain a well-prioritized, clearly defined backlog
  • Ensure prioritization reflects business impact, dependencies, and platform constraints
  • Manage dependencies end-to-end
  • Identify and actively manage dependencies across products, teams, and shared services
  • Prevent bottlenecks across data, AI/ML, infrastructure, and application layers
  • Coordinate across large, multi-vendor teams
  • Enable alignment and execution across internal teams, contractors, and external vendors
  • Drive accountability and clarity in environments with distributed ownership
  • Maintain delivery visibility at scale
  • Track progress using consistent metrics (velocity, throughput, cycle time, blockers)
  • Provide clear, actionable updates on risks, timelines, and delivery health
  • Remove systemic friction
  • Identify recurring issues (tooling gaps, access delays, unclear ownership, process inefficiencies)
  • Implement solutions that reduce operational overhead and improve throughput
  • Support complex Data & AI delivery
  • Coordinate delivery across AI/ML models, data pipelines, platforms, and applications
  • Balance experimental AI work with production-grade platform delivery
  • Coordinate release readiness across products
  • Align releases across multiple product lines sharing infrastructure and data dependencies
  • Ensure readiness across security, data, integration, and platform layers
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