Scrum Master – Agentic AI

Scrum Master – Data & AI Products (Agentic AI & Strategy Teams)Proven experience working in a SAFe (Scaled Agile Framework) environmentExperience operating across large, multi-team and multi-vendor delivery environmentsStrong capability in backlog prioritization support and dependency managementDemonstrated ability to scale delivery beyond a single team to a platform or portfolio levelAbility to quickly learn new tools, processes, and technologies and adapt to changeComfortable working across data platforms, AI/ML initiatives, and engineering teamsStrong bias for execution, ownership, and accountabilityDirect communicator who can drive clarity, alignment, and action across diverse teamsCore ResponsibilitiesEnable scaled delivery across Data & AI productsDrive coordination across 10+ agile teamsAlign multiple teams working on shared data, AI, and platform capabilities without slowing deliveryOperate effectively within a SAFe environmentSupport PI planning, execution, and cross-team alignment across Agile Release Trains (ARTs)Ensure work is aligned from portfolio priorities down to team-level executionDrive execution disciplineEnforce strong backlog hygiene, sprint readiness, and clear acceptance criteriaEnsure teams execute consistently with a focus on outcomes, not ceremoniesOwn backlog prioritization supportPartner with Product Owners to maintain a well-prioritized, clearly defined backlogEnsure prioritization reflects business impact, dependencies, and platform constraintsManage dependencies end-to-endIdentify and actively manage dependencies across products, teams, and shared servicesPrevent bottlenecks across data, AI/ML, infrastructure, and application layersCoordinate across large, multi-vendor teamsEnable alignment and execution across internal teams, contractors, and external vendorsDrive accountability and clarity in environments with distributed ownershipMaintain delivery visibility at scaleTrack progress using consistent metrics (velocity, throughput, cycle time, blockers)Provide clear, actionable updates on risks, timelines, and delivery healthRemove systemic frictionIdentify recurring issues (tooling gaps, access delays, unclear ownership, process inefficiencies)Implement solutions that reduce operational overhead and improve throughputSupport complex Data & AI deliveryCoordinate delivery across AI/ML models, data pipelines, platforms, and applicationsBalance experimental AI work with production-grade platform deliveryCoordinate release readiness across productsAlign releases across multiple product lines sharing infrastructure and data dependenciesEnsure readiness across security, data, integration, and platform layers