About Autonomize AI

Role Overview

Key Responsibilities

• Lead structured discovery with customers and internal stakeholders; synthesize business objectives, constraints, and success criteria.
• Convert insights into clear PRDs, user stories, acceptance criteria, and process maps (BPMN/Swimlane) with a strong “final mile” orientation.
• Decompose complex payer/provider workflows (e.g., Prior Auth, Care Gaps, CDI, UM/CM) into scalable, automatable steps.

• Define KPIs and instrumentation plans; build SQL queries and dashboards (Looker/Mode/Snowflake/BigQuery) to track value realization.
• Partner with data science/ML teams to frame evaluation metrics for LLM-powered features and ground truth/annotation workflows.
• Validate data quality, lineage, and mappings across EHR, claims, and document sources; document assumptions and edge cases.

• Drive backlog grooming and sprint readiness; ensure tickets are spec’d, prioritized, and unblocked.
• Run UAT and release readiness — test scenarios, defect triage, go/no-go, and post-launch hypercare.
• Author customer-facing playbooks and internal SOPs so great work compounds.

• Translate enterprise constraints (security, compliance, change management) into pragmatic product and delivery plans.
• Model ROI and produce business cases; present findings to executives with crisp narratives and data.
• Identify and codify repeatable patterns to accelerate future deployments (templates, checklists, data contracts).

Must-Have Qualifications

• 5–8+ years as a Business Analyst / Product Analyst / Solutions Analyst in healthtech or adjacent enterprise software.
• Demonstrated ownership from discovery → launch → post-launch iteration; you close loops and raise the bar.
• Proficiency with SQL and BI tools (e.g., Looker, Tableau, Mode) and comfort analyzing large, messy datasets.
• Fluency writing user stories, acceptance criteria, and process diagrams; excellent written communication.
• Strong stakeholder management — you align fast, create clarity, and influence without authority.
• Healthcare context: familiarity with payer/provider workflows, medical documentation, and healthcare data (claims/EHR).
• Security/compliance awareness (HIPAA/PHI) and risk-forward mindset in AI-enabled workflows.

Bonus Points

• Exposure to LLM/GenAI products (evaluation frameworks, prompt design, RAG, red-teaming) and human-in-the-loop QA.
• Experience with FHIR/HL7, X12, clinical terminology (ICD-10, CPT, SNOMED), and document understanding.
• Background in management consulting, product operations, or enterprise implementations.
• Hands-on with Jira/Linear, Notion/Confluence, and collaboration in Slack/G Suite.

What We Offer

• 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.