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Clinical Compliance Manager (US Healthcare)

Own US healthcare compliance and AI governance across our marketplace. You'll define the HIPAA boundary, operationalize CPOM sensitivities, drive SOC 2 alignment, manage vendors/BAAs, and run a pragmatic policy & audit program that keeps product velocity high and risk low.

Hybrid (Austin, TX) or Remote (US)
Full-time
Competitive salary + equity
AI GovernanceHIPAACPOMSOC 2PolicyCompliance & OperationsRemote

Role overview

Compliance ownership

Define and maintain US compliance posture: HIPAA boundary, CPOM sensitivity, SOC 2 alignment, state privacy coverage, records & retention.

AI & data

Establish AI guardrails (no PHI to non-approved endpoints, evals, human-in-the-loop), and data minimization/consent patterns.

Vendor risk

Due diligence, DPAs/BAAs, security questionnaires, scopes & subprocessor tracking, ongoing reviews.

Enablement

Turn policy into checklists, templates, and build-time gates; partner with Product, Eng, Security, and Provider Ops.

Program pillars

Policy lifecycle

Draft → review → train → attest → audit → update

Acceptable Use, Privacy, Data Handling, Incident Response, AI Use Policy

Data handling

Classification, minimization, retention & deletion

Record of Processing, "no-train/no-share" flags, PHI boundary docs

Controls & audits

Map controls to frameworks; test & evidence

Change mgmt, access reviews, backups, vendor reviews, training logs

Incident readiness

Runbooks, tabletop drills, notifications

Breach decision tree, forensics partners, comms templates

AI governance

Boundary: No PHI/consumer health data to non-approved LLM endpoints; BAAs and region controls where applicable.
Guardrails: Retrieval-first for sensitive flows, allow-lists, output filters, role-separated contexts, human review for risky actions.
Evaluation: Offline eval sets, red-team prompts, regression gates; track cost/latency/quality and drift.
Documentation: Data provenance, prompt/version control, decision logs, risk assessments (AI DPIA-like).

Clinical boundary

No medical advice. AI features inform navigation and education only; clinical judgment remains with licensed providers.

Regulatory scope

HIPAA awareness

Define when we're a covered entity/business associate vs. consumer app

Boundary docs; BAAs; marketing vs. operations distinctions

CPOM sensitivity

Corporate practice of medicine awareness by state

Clear clinic–marketplace separations; disclaimers; routing rules

State health privacy

Consumer health privacy requirements (e.g., consent, disclosures)

Granular opt-outs, sensitive data flags, tracking governance

SOC 2 alignment

Trust Services Criteria mapping

Control owners, evidence, auditor liaison

Records & retention

Schedules, legal holds, deletion

System-of-record matrices; periodic purge jobs

Processes & artifacts

Vendor & BAA management

  • Security & privacy questionnaires; DPIA-style assessments for AI vendors.
  • DPAs/BAAs, scopes, subprocessor tracking, renewal calendars.
  • Data egress allow-lists; key & region controls verified.

Policy → practice

  • Checklists in PRD/RFC templates; compliance gates in CI (evidence links).
  • Training & attestations; quarterly access reviews.
  • Incident playbooks; post-mortems with corrective actions.

Success metrics

Control health

% key controls tested "pass" on schedule with evidence

Focus on risk-weighted controls, not vanity counts

Vendor posture

% vendors with current reviews/BAAs; issue closure time

Critical vendors reviewed at least annually

Training & attestation

% employees current on privacy/AI/compliance training

New hire within 30 days; annual refresh 100%

Incident readiness

Tabletop & runbook coverage; MTTR for drills/incidents

Notification decisions within SLA; lessons captured

AI guardrail efficacy

Eval pass rate; PHI egress block rate; regression escapes

No medical advice; cost/latency within SLO

Requirements

Must-have

  • 5+ years in healthcare compliance, privacy, or risk (US).
  • Operational HIPAA awareness, vendor/BAA management, and policy lifecycle ownership.
  • Experience partnering with Product/Eng/Security at product velocity.
  • Clear writing: policies, training, audit evidence, decision memos.
  • US work authorization; ability to support periodic on-site/offsite travel.

Nice-to-have

  • SOC 2 / ISO 27001 control mapping and audit liaison experience.
  • Exposure to consumer health privacy regimes and CPOM nuances.
  • AI governance experience (guardrails, evals, data boundary decisions).
  • Clinical background or experience in telehealth/marketplaces.

Hiring process

Apply

Resume/CV + brief note on a policy/control you operationalized and one AI boundary decision you led.

2–5 business days

Screen

30 min on compliance judgment, vendor/BAA approach, and AI governance perspective.

~1 week

Deep dive

Walkthrough of HIPAA boundary & state privacy trade-offs; sample artifacts (redacted welcome).

~1 week

Practical

Time-boxed exercise or prior work review (policy snippet + vendor risk scenario + AI guardrail outline).

3–7 days

Panel

Cross-functional discussions with Product/Eng/Security/Provider Ops; incident tabletop scenario.

~1 week

Offer

Comp band, benefits, start date. Background check post-offer where lawful.

48–72 hours

Accommodation requests: email care@clinicbooking.com (subject: "Interview Accommodation").

Apply

Email your applicationwith your resume/CV and 1–2 examples of policies or audits you've led (sanitized). If available, include an AI governance note you authored.

Prefer an ATS? Use the application form if available.

Ready to Apply?

Send your resume and a brief note about your healthcare compliance experience to get started.

Apply Now