Senior Director, Enterprise AI Governance & Validation

Astera Cancer Care

Nashville (TN)

On-site

USD 180,000 - 240,000

Full time

8 days ago

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Job summary

OneOncology is seeking a Senior Director, AI Enablement & Operations to lead enterprise AI governance, validation, and production oversight. You will manage a small team, establish risk-tiered validation, monitor production, and ensure audit-ready documentation across the AI portfolio, including the Claude Enterprise platform and payor integrations.

You will collaborate with Technology, Security, Compliance, Clinical, and business leaders to balance speed and innovation for low-risk AI use cases

Qualifications

10+ years of progressive technology leadership, including 3+ years in AI/ML delivery, model validation, MLOps, or clinical/regulated systems validation.
Healthcare experience with working command of HIPAA and PHI handling obligations; familiarity with revenue cycle or clinical workflows strongly preferred.
Demonstrated experience building governance, validation, or quality-assurance programs for production systems - including monitoring, change control, and audit evidence.
Working knowledge of SOX IT general controls and experience supporting internal or external audit.

Responsibilities

Own and operationalize the enterprise AI validation framework, risk-tiered by patient-safety impact and PHI exposure.
Stand up continuous production monitoring - model drift, error rates, throughput and backlog, and change detection.
Define and enforce human-in-the-loop boundaries for agentic workflows, including PHI handling.
Maintain rollback provisions for every high-risk AI system and ensure tests are executable.
Retain validation and monitoring evidence in enterprise systems for SOX ITGC.
Lead end-to-end validation of prior authorization AI agent and workflows.
Establish accountability model for audit trail, explainability, drift detection, error monitoring, and benchmarking.
Operate a single enterprise intake for AI pilots with defined success and kill criteria.
Run vendor evaluations and due diligence across security, data rights, and integration burden.
Own production operations for AI systems and incident/change control coordination.
Embed AI enablement with business teams to drive adoption in real work flows.
Report portfolio status and risk posture to executive leadership.