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AI that actually understands healthcare is transforming operations, one workflow at a time.
The Role
Own discovery and requirements for AI-powered healthcare solutions, translating payer and provider workflows into product specifications, process maps, data models, and scalable processes. Define KPIs, analyze healthcare data, support ML evaluation, validate data quality, manage backlog readiness, lead UAT and releases, create playbooks, model ROI, and align customers, clinical teams, product, engineering, and executives.
Summary Generated by Built In
About Autonomize AI
Role Overview
Key Responsibilities
Discovery & Requirements
AI & Technical Fluency
Execution & Ownership
Customer & Communication
Must-Have Qualifications
Bonus Points
What We Offer
How to Apply
Autonomize AI is revolutionizing healthcare by combining data and context to streamline knowledge workflows, reduce administrative burdens, and improve patient outcomes. We’re a high-velocity, mission-driven startup that values full-stack ownership, clear alignment, and customer obsession.
We’re hiring a Healthcare Discovery Analyst to translate complex healthcare workflows into clear requirements and AI-enabled solutions. You’ll work directly with customers to understand current processes, identify opportunities for automation, design future-state workflows, and own requirements from discovery through delivery.
You'll partner closely with Project Managers, Solution Architects, Clinical SMEs, QA, Product, Engineering, and AI/ML teams. You don’t need to be a developer or ML engineer, but you should be technically curious, comfortable with AI-enabled products, and experienced using modern AI tools to improve how you work.
- Lead customer and internal discovery sessions to understand business objectives, workflows, pain points, business rules, exceptions, and success criteria.
- Translate findings into clear BRDs, requirements, user stories, acceptance criteria, current/future-state workflows, and solution mockups that communicate the intended experience to customers and technical teams.
- Document the client applications involved in each workflow, including what is read or written, and produce field-level data mappings to hand off to Solution Architects for integration design.
- Decompose complex healthcare processes (including areas such as UM, Prior Authorization, Appeals & Grievances, Care Management, claims, and clinical workflows) into clear, automatable steps.
- Work with Clinical SMEs to validate clinical rules, criteria, and edge cases on clinical use cases.
- Create process maps using tools such as Mural, Lucidchart, Visio, or similar platforms and drive open questions and requirements through resolution.
- Identify where rules, automation, and AI can each improve a workflow, and propose human-in-the-loop steps where judgment or review is needed, working with Solution Architects to finalize the approach. Understand concepts such as LLMs, OCR, RAG, extraction, and classification.
- Use various AI and LLM tools to accelerate analysis, documentation, workflow design, and other day-to-day work.
- Understand technical concepts such as APIs, SFTP/file exchange, integrations, and data flows well enough to collaborate effectively with Solution Architects, Engineering, and AI/ML teams.
- Work with Project Managers and Solution Architects to move solutions from discovery into implementation.
- Translate requirements into well-structured Jira tickets and recommend priorities based on business value, customer needs, dependencies, and project objectives.
- Define KPIs and success criteria for each workflow.
- Partner with QA to draft the test strategy and test cases, making sure everything in the BRD is covered, and support UAT and release readiness.
- Own your work end to end: surface gaps early, follow through on open questions, keep requirements current, flag requirement changes or scope creep so they can go through change control, and ensure stakeholders remain aligned.
- Handle client data responsibly in line with HIPAA and internal data-handling policies, using de-identified or synthetic data in requirements, mockups, and other artifacts.
- Lead and participate in customer meetings with both business and technical stakeholders, communicating complex concepts clearly and confidently.
- Produce polished, customer-ready documentation and effectively prepare deliverables for client sign-off.
- Manage multiple customer workstreams, meetings, requirements, decisions, and follow-ups in a fast-moving environment.
- 2-5 years of relevant professional experience in healthcare business analysis, consulting, healthtech, healthcare operations, implementation, health informatics, solutions analysis, or a related role.
- Strong knowledge of healthcare operations and direct experience working on payer processes and translating them into clear BRDs for technical teams.
- Working knowledge of HIPAA and safe handling of PHI in a healthcare setting.
- Experience gathering requirements and creating BRDs, workflows, business rules, user stories, acceptance criteria, or similar artifacts.
- Experience designing current-state and future-state workflows using process-mapping tools.
- Strong client-facing, written, and verbal communication skills.
- Familiarity with Jira and translating business requirements into development work.
- Practical experience using AI tools in professional work and curiosity about new ways to apply AI and automation.
- Strong organization, attention to detail, and ability to manage multiple priorities.
- A strong sense of ownership and structured curiosity - you ask the right questions, uncover what is missing, and drive ambiguity toward clarity.
- Comfort working in a growing organization where priorities evolve and processes are continuously improved
- Direct experience with UM, Prior Authorization, Appeals & Grievances, Care Management, claims, clinical documentation, or related healthcare workflows.
- Experience with AI-enabled healthcare solutions, including OCR, RAG, extraction, classification, or document understanding.
- Familiarity with FHIR/HL7, X12, or clinical terminology such as ICD-10, CPT, or SNOMED.
- Background in healthcare consulting, implementation, or customer-facing healthtech delivery.
- Experience building mockups or prototypes with AI tools.
- Experience designing human-in-the-loop AI workflows in a production setting.
- High-impact opportunity to shape the future of healthcare AI.
- Autonomy, ownership, and the ability to chart your own growth path.
- Competitive base salary + commission + accelerators.
- 100% employer-paid health, dental, and vision insurance.
- Retirement plans (401k), disability insurance, and employee assistance programs.
- Work with a bold, fast-moving team solving meaningful problems.
Send your resume and a brief note to [email protected] explaining why you’re the right partner to expand our most strategic national accounts.
Skills Required
- 5-8+ years of experience as a Business Analyst, Product Analyst, or Solutions Analyst in healthtech or adjacent enterprise software
- Ownership across discovery, launch, and post-launch iteration
- Proficiency with SQL and BI tools such as Looker, Tableau, or Mode
- Experience analyzing large, messy datasets
- Ability to write user stories, acceptance criteria, and process diagrams
- Excellent written communication
- Strong stakeholder management and ability to influence without authority
- Familiarity with payer/provider workflows, medical documentation, and healthcare data including claims and EHRs
- Security and compliance awareness, including HIPAA and PHI
- Exposure to LLM or GenAI products, evaluation frameworks, prompt design, RAG, red-teaming, or human-in-the-loop QA
- Experience with FHIR, HL7, X12, ICD-10, CPT, SNOMED, or document understanding
- Background in management consulting, product operations, or enterprise implementations
- Hands-on experience with Jira, Linear, Notion, Confluence, Slack, or G Suite
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The Company
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
