Business Analyst-AI Prototyping & Automation

Inovalon is a leading healthcare analytics and technology company that empowers organizations to make data-driven decisions. The Business Analyst role focuses on identifying AI automation opportunities and building functional prototypes to validate business cases, ensuring stakeholders can evaluate solutions before engineering investment.

Responsibilities:

• Maintain a pipeline of AI automation opportunities sourced from business unit intake, executive priorities, and direct stakeholder discovery
• Build business cases with quantified ROI: cost savings, revenue lift, hours offloaded, quality improvements
• Translate ambiguous business problems into well-scoped automation candidates with clear acceptance criteria
• Track opportunity status, prioritization, and outcomes against original projections
• Build functional prototypes of proposed agents and automations using modern AI tooling (LLM coding assistants, agent frameworks, prompt and skill libraries)
• Validate or invalidate business cases by getting a working version in front of stakeholders within days, not quarters
• Iterate prototypes against real user feedback before committing to engineering investment
• Produce demo-ready artifacts that move executive decisions forward
• Hand off validated prototypes to engineering with clear specifications, success criteria, and stakeholder context
• Deliver monthly executive reports covering pipeline health, in-flight initiatives, and realized impact
• Conduct post-implementation reviews comparing projected to actual ROI; capture lessons that improve future estimates

Requirements:

• 3+ years in business analysis, management consulting, product operations, or analyst roles
• Hands-on experience using LLMs and agent tooling — prompting, evaluations, and workflow orchestration. Candidates should be prepared to walk through a prototype they have built
• Working proficiency in Python and SQL: sufficient to query databases, parse API responses, manipulate structured data, and debug agent workflows — not expected to write production backend code
• Strong financial acumen: ROI modeling, sensitivity analysis, cost-benefit frameworks
• Strong written and verbal communication; comfortable in front of executives and engineers alike
• Intrinsic curiosity and a bias toward action; comfortable operating with incomplete information, learning new tools independently, and moving quickly in ambiguous environments
• Bachelor's or Master's in Business, Engineering, Computer Science, or related field
• Experience with modern agent frameworks (LangGraph, AutoGen, MCP, or equivalent)
• Domain knowledge in a compliance-heavy industry such as healthcare, financial services, or insurance
• Background in product management, business operations, or technology consulting
• Familiarity with continuous improvement methodologies