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Senior Business Analyst Life & Annuities
Onsite in WDM office 4 days a week
Contract
Overview:
We are seeking an experienced Senior Business Systems Analyst (AI Enablement) to support ***’s AI transformation initiatives. This role will partner with ***’s BSA team, IT leadership, and PMO to understand current SDLC processes, identify pain points, gaps, and inconsistencies across teams, and translate findings into a more streamlined, AI-enabled operating model.
The BSA will assess our current requirements elicitation process and help define how an AI-infused approach can significantly improve the thoroughness, completeness, and quality of user requirements specifically for consumption by an AI coding agent. This includes identifying cross-system dependencies, non-functional requirements, and user personas from initial requirement elicitation through Jira story creation. This role will help transform our BSA capabilities by leveraging custom-built AI solutions to accelerate cycle time, improve consistency, and reduce downstream rework.
This role will also define measurable success criteria and develop metrics to evaluate process improvements and AI impact across the SDLC: gathering requirements across several other SDLC-related AI initiatives and provide light project management support across multiple AI workstreams.
Key Responsibilities
Assess current BA workflows, documentation standards, and impact analysis processes from user requirement elicitation through Jira story creation, identifying gaps, redundancies, inconsistencies and improvements across teams.
Identify friction points and define AI-enabled use cases with measurable business outcomes.
Drive feedback loops for AI proofs of concept (POCs) delivered to teams by gathering structured user input, measuring adoption and effectiveness, and incorporating insights into iterative improvements.
Develop clear, actionable requirements including user stories, acceptance criteria, non-functional requirements, personas, and upstream/downstream system impacts.
Determine and help establish processes or patterns to ensure user requirements align with current system capabilities. Proactively identify cross-system dependencies, technical constraints, gaps, and system limitations in collaboration with engineering teams to ensure requirements are technically feasible and implementation-ready.
Support backlog grooming, sprint planning, demos, and pilot validation sessions.
Track progress across multiple AI initiatives, manage dependencies and risks, and maintain clear stakeholder communication.
Develop and maintain lightweight project plans, timelines, and status reporting to ensure AI initiatives remain aligned with business priorities and strategic objectives.
Required Qualifications
5+ years of Business Analysis or Business Systems Analysis experience in technology or software environments.
Strong requirements elicitation, documentation, and facilitation skills.
Experience working in Agile environments with cross-functional teams.
Practical familiarity with AI tools (e.g., Claude Code CLI, ChatGPT, Copilot) and understanding of AI concepts (LLMs, prompt engineering, AI governance, and AI risk considerations).
Strong systems thinking, structured communication, and stakeholder management skills.
Preferred Experience
Experience implementing AI or automation solutions within enterprise environments.
Familiarity with AWS AI services (e.g., AWS Bedrock) or other enterprise AI platforms.
Familiarity with Jira, Confluence, GitHub, or similar SDLC ecosystems.
Experience supporting PMO processes or managing multiple concurrent initiatives along with a functional understanding of Agile practices.
Financial services or insurance industry experience.
Success Measures
Successful delivery of an AI-enabled solution for ***’s BSA team.
Improved BA workflow efficiency, quality, and consistency.
High-quality, implementation-ready requirements that reduce downstream rework and delivery thrash.
Effective coordination, transparency, and measurable progress across AI initiatives.
