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Business AnalystAutonomize AI • Austin, Texas, United States
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Business Analyst

Autonomize AI
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

Business Analyst 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.
Role Overview We're hiring a Business Analyst who operates like an owner. You'll translate messy, real-world healthcare workflows into crisp requirements, data models, and repeatable processes that scale.
You'll partner with Product, Engineering, Clinical, and Customer teams to ship AI-powered solutions that actually land in enterprise environments secure, trusted, measurable. If you thrive in ambiguity, move fast, and love turning chaos into clarity, this is your arena.
Key Responsibilities Discovery & Requirements
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.
Data & Insight
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.
Execution & Quality
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.
Customer & Scale
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
58+ 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.
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  • Austin, Texas, United States

Sprachkenntnisse

  • English
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