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.

Ready to Apply?

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

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