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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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.
- Maintain compliance with Inovalon’s policies, procedures, and mission statement.
- Adhere to all confidentiality and HIPAA requirements in accordance with Inovalon Operating Policies and Procedures.
- Fulfill additional responsibilities reasonably assigned to support the operational and financial success of Inovalon.
Requirements
What you’ll need- 5+ 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.
- Experience with modern agent frameworks (LangGraph, AutoGen, MCP, or equivalent) preferred.
- Domain knowledge in a compliance-heavy industry such as healthcare, financial services, or insurance preferred.
- Background in product management, business operations, or technology consulting preferred.
- Familiarity with continuous improvement methodologies is a plus.
- Experience in healthcare IT, SaaS, or highly regulated industries is a plus.
Benefits
Comp & perks- health insurance
- life insurance
- company-paid disability
- 401k
- 18+ days of paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLROI modelingsensitivity analysiscost-benefit frameworksLLM promptingworkflow orchestrationagent frameworksdata manipulationdebugging
Soft Skills
strong written communicationstrong verbal communicationfinancial acumenintrinsic curiositybias toward actioncomfort with ambiguityindependent learningstakeholder engagementprototypingpost-implementation review