About the role
AI Automation Delivery Lead (BA / Scrum Hybrid) Role Summary:
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)
Technical Skills
Must Have
- AI
- Project Management