Senior Business Analyst – AI Prototyping, Automation

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage a pipeline of AI automation opportunities identified through business unit intake, executive priorities, and direct stakeholder engagement.

• Develop business cases with quantified ROI, highlighting cost savings, revenue increases, hours saved, and improvements in quality.

• Convert ambiguous business challenges into clearly defined automation candidates with specific acceptance criteria.

• Monitor opportunity status, prioritization, and outcomes against initial projections.

• Create functional prototypes of proposed agents and automations utilizing modern AI tools (LLM coding assistants, agent frameworks, prompt and skill libraries).

• Validate or invalidate business cases by presenting a working version to stakeholders within days instead of quarters.

• Refine prototypes based on actual user feedback before committing to engineering resources.

• Generate demo-ready materials that facilitate executive decision-making.

• Transition validated prototypes to engineering with detailed specifications, success criteria, and stakeholder context.

• Provide monthly executive reports detailing pipeline health, current initiatives, and realized impacts.

• Conduct post-implementation reviews comparing anticipated to actual ROI; document insights to enhance future estimates.

• Ensure compliance with Inovalon’s policies, procedures, and mission statement.

• Adhere to all confidentiality and HIPAA regulations as per Inovalon Operating Policies and Procedures.

• Carry out additional responsibilities reasonably assigned to support Inovalon's operational and financial success.

⛳️ Requirements

• Over 5 years of experience in business analysis, management consulting, product operations, or analyst roles.

• Practical experience utilizing LLMs and agent tooling — including prompting, evaluations, and workflow orchestration. Candidates should be ready to discuss a prototype they have developed.

• Proficient in Python and SQL, capable of querying databases, parsing API responses, manipulating structured data, and debugging agent workflows — not required to write production backend code.

• Strong financial acumen, including ROI modeling, sensitivity analysis, and cost-benefit analysis frameworks.

• Excellent written and verbal communication skills; comfortable interacting with both executives and engineers.

• Natural curiosity and a proactive approach; able to operate with incomplete information, learn new tools independently, and act swiftly in ambiguous situations.

• Experience with modern agent frameworks (LangGraph, AutoGen, MCP, or equivalent) is preferred.

• Domain expertise in a compliance-intensive industry such as healthcare, financial services, or insurance is preferred.

• Background in product management, business operations, or technology consulting is preferred.

• Familiarity with continuous improvement methodologies is an advantage.

• Experience in healthcare IT, SaaS, or highly regulated sectors is an advantage.

🏝️ Benefits

• Health insurance

• Life insurance

• Company-paid disability

• 401k

• 18+ days of paid time off