Qualifications
- Bachelor's or Master's degree in IT, Business Administration, Data, or related field
- Relevant certifications:
o CBAP / CCBA / PMI PBA
o Agile certifications (Scrum, SAFe, Kanban)
- Experience level aligned to JG 4 / JG 3 preferred (7+ years), with strong hands on delivery exposure
Location
- Hybrid: 2–3 days per week from office in city of employment (mandatory)
Role Purpose
The Business Analyst will be part of a central AI delivery team for Commercial Operations, acting as a shared capability across portfolios.
The role focuses on:
- Shaping AI use cases from problem statement to production
- Enabling consistent intake, prioritisation, and value assessment
- Bridging business demand with AI delivery, governance, and IT processes
- Preventing AI initiatives from stalling at PoC stage
Core Skills & Responsibilities
A. AI Use Case & Value Analysis (Mandatory)
- Partner with Commercial Operations teams to identify, frame, and prioritise AI use cases
- Translate business problems into clear AI ready use cases, including:
o Objectives and success criteria
o Expected business value (efficiency, risk reduction, speed, quality)
o Data inputs and constraints
- Support value tracking and benefits realisation, from initial hypothesis to post deployment review
- Ensure reuse of patterns, components, and learnings across portfolios
B. Business Analysis & Delivery
- Elicit and document lean, outcome driven requirements suitable for AI and data products
- Map current state processes and identify automation and augmentation opportunities
- Define acceptance criteria focused on business outcomes, not just technical completion
- Support PoC to production transition by clarifying scope, risks, dependencies, and readiness
- Act as end to end BA owner for multiple AI initiatives in parallel
________________________________________
C. Stakeholder & Governance Engagement
- Lead discovery workshops and structured problem framing sessions
- Act as a bridge between business, AI engineers, IT architecture, security, and governance
- Support consistent engagement with demand management, risk, and compliance processes
- Provide clear, concise updates to leadership on progress, value, and risks
D. Tools & Ways of Working
- Experience working in Agile, iterative delivery environments with experimentation cycles
- Proficiency with:
o JIRA, Confluence
o Excel and SQL for analysis and validation
o Power BI / Tableau for value and performance tracking
- Familiarity with AI adjacent tooling and concepts (e.g. document automation, agents, NLP, LLMs) is a strong plus
- Experience supporting data or AI solutions moving into production is highly desirable
Good to Have Skills
- AI / automation use case storytelling and value articulation
- Change management and adoption planning
- Business process modelling and service design
- Experience working in federated or centralised capability models
- Exposure to Commercial Operations or Trading & Supply environments
