Senior Director, Enterprise AI

OneOncology

. Lead OneOncology’s enterprise approach to AI governance, validation, operational oversight, and adoption .

Posted 9/25/2026full-timeNashville • Tennessee • United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureServiceNow

About the role

Key responsibilities & impact

Lead OneOncology’s enterprise approach to AI governance, validation, operational oversight, and adoption
Establish and manage risk-tiered AI validation frameworks and pre-production accuracy testing
Stand up continuous production monitoring for model drift, errors, throughput, backlog, and change detection
Define human-in-the-loop boundaries and maintain tested rollback provisions for high-risk AI systems
Retain validation and monitoring evidence in enterprise systems for SOX ITGC and audit readiness
Lead end-to-end validation and operational oversight of the Risa autonomous prior authorization agent
Establish accountability models for audit trails, explainability, drift detection, error monitoring, and performance benchmarking
Operate enterprise AI pilot intake with defined success and kill criteria
Run structured vendor evaluations and conduct diligence on security, PHI handling, data rights, integrations, and model performance
Own AI production operations, including incident response and change control
Enable adoption of low-risk productivity AI across the enterprise
Report AI portfolio status, risk posture, and validation progress to executive leadership
Own the Claude Enterprise platform, including administration, security configuration, usage policy, and adoption roadmap
Embed with business teams to build agents, skills, and workflows in real operational contexts
Own the enterprise connector strategy integrating Claude with Salesforce, Monday.com, ServiceNow, Databricks, GitHub, Microsoft 365, and Workday through MCP
Build the enterprise library of skills, agents, and prompt patterns; run enablement programs and a champions network
Measure value realization through active usage, production workflows, and time returned to teams
Lead and develop a small AI enablement, validation, and operational oversight team
Build the AI enablement function by defining roles, responsibilities, team structure, and capabilities

Requirements

What you’ll need

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
Demonstrated people leadership experience, including managing and developing technical or cross-functional teams and building team capabilities as organizational needs evolve
Familiarity with AI risk frameworks such as NIST AI RMF and with agentic/LLM-based systems in production preferred
Experience in oncology, specialty care, or multi-practice healthcare platforms preferred
Experience with Azure, Databricks, ServiceNow, and healthcare integration such as HL7/FHIR preferred
Executive communication skills for translating complex AI/model risk into clear business and financial terms for C-suite and board audiences
Strong judgment and risk management skills, particularly for AI-related operational, compliance, and patient-safety risks
Ability to lead cross-functional governance and decision-making across technology, security, compliance, clinical, and business stakeholders
Ability to operate effectively in a complex, regulated environment
Attendance is an essential job function