AI Business Analyst

Role: Business Analyst, Agentic AI Product Development Lifecycle Experience: 10+ years Location: Chicago, IL (Day One Onsite Job) What you bring 6 to 10 years as a Business Analyst in banking, asset servicing, or asset management. Custody bank experience is a strong plus. 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. 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. Act as the daily link between Client business users, platform engineers and the Coforge delivery team #J-18808-Ljbffr Coforge