What are the responsibilities and job description for the Scrum Master – Data & AI Products position at Ornate Tech?
Scrum Master – Data & AI Products (Agentic AI & Strategy Teams)
- 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
Core 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
Salary : $65 - $75