This role bridges business, AI, and delivery. They translate use cases into structured work, drive execution across AI initiatives, and ensure AI solutions move from idea to pilot to scale.
Core Responsibilities:
Intake & Use Case Structuring: Translate business problems into user stories and measurable outcomes
User stories, acceptance criteria, business requirements
Agile Delivery Support: Run stand-ups, manage backlog, track sprint progress
Daily stand-ups, Sprint planning, Backlog grooming, Retrospectives
Cross-Team Coordination: Align business, engineering, and testing teams
Business, Engineers / AI developers, Testing / QA resources, Requirements, Timelines, Deliverables
Testing & Validation: Support UAT, track bugs, ensure documentation
Documentation: maintain workflows, requirements, and templates
Value tracking: measure time savings, accuracy gains, and scalability
Governance & scaling: support transition from pilot to production. Focus on adoption strategies
Ideal Candidate Profile:
Business Analyst / Product Owner / Scrum Master
Strong in Agile + documentation (user stories, workflows, data mapping) and in development understanding
Experience with:
Automation or AI projects (preferred)
Azure DevOps
Excellent communicator across technical + business teams
Comfortable in fast-moving, experimental environments (fail fast / iterate)
Must Have TECHNICAL SKILLS:
AI
Project Management
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