Business Analyst, Agentic AI Product Development Lifecycle

What you bring

• 6 to 10 years as a Business Analyst in banking, asset servicing, or asset management. 
• Strong Azure DevOps (Boards, queries, Test Plans), Excel and Power BI. Confluence and SharePoint for documentation.
• Experience writing and running user acceptance test scenarios.
• Experience of AI concepts: LLMs, prompts, agents, retrieval (RAG) and how to judge the quality of AI output.
• Familiar with SDLC, Agile (SAFe a plus) and DevOps practices.
• Clear writing and comfortable in front of senior stakeholders.
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• Nice to have
• Exposure to AI governance or model risk in financial services.
• Prior work on GenAI or automation platform rollouts.
• CBAP, PMI-PBA, ISTQB or SAFe POPM.

JD:

• Roadmap and dependencies: one roadmap across the agentic work streams, tracking of outside dependencies, weekly status and leadership reporting.
• Pilots and adoption: pilot onboarding, golden data sets, agent output checks, training, and value reporting.
• Maintain the roadmap (platform agents, SQM, Copilot, reverse engineering, developer experience) with every commitment tied to a date.
• Track dependencies in ADO with owner, need-by date and status; prepare the facts behind escalations.
• Write requirements, user stories and acceptance criteria in ADO.
• Plan pilots: entry criteria, pilot lead, success measures, exit read-out.
• Test agent output against golden data sets; log defects and support user testing.
• Produce onboarding guides, training and release notes; run demos and office hours.
• Build weekly status, adoption and value reports in Power BI.