Sr. Director, Enterprise AI

About the role

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the marketplace to help drive OneOncology’s mission and vision. Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.

Reporting to the Chief Technology Officer, the Senior Director, AI Enablement & Operations is responsible for leading OneOncology’s enterprise approach to AI governance, validation, operational oversight, and adoption. This role establishes and manages the frameworks necessary to ensure AI solutions are evaluated according to their level of risk, appropriately validated before deployment, continuously monitored in production, and supported by clear controls and audit-ready documentation. The Senior Director will lead a small, growing team responsible for AI enablement, validation, and operations, establishing clear priorities, accountability, and development plans as the function scales. The Senior Director will initially lead the enterprise validation and operational oversight of Risa, OneOncology’s autonomous prior authorization agent, and will expand these standards across the broader AI portfolio. The role partners closely with Technology, Security, Compliance, Clinical, and business leaders to enable the responsible adoption of AI across the organization, balancing speed and innovation for lower-risk use cases with rigorous oversight for AI solutions that may impact patient care, protected health information, or other high-risk workflows.

Responsibilities

• Own and operationalize the enterprise AI validation framework, risk-tiered by patient-safety impact and PHI exposure: low-risk productivity AI moves quickly under standard security review; AI that affects patient care or moves PHI carries the full validation plan.
• Require pre-production accuracy testing against defined performance thresholds before any high-risk AI system enters production use.
• Stand up continuous production monitoring - model drift, error rates, throughput and backlog, and change detection - with defined alerting thresholds and escalation paths.
• Define and enforce human-in-the-loop boundaries for agentic workflows, including any automation that transmits PHI to external parties such as payor portals.
• Maintain rollback provisions for every high-risk AI system and ensure they are tested and executable.
• Retain validation and monitoring evidence in existing enterprise systems (SIEM/Azure, ServiceNow, SharePoint, OneAnalytics/Databricks) in a form that satisfies SOX ITGC expectations and parent-company audit readiness.
• Lead end-to-end validation of our prior authorization agent, including its agentic workflows that move PHI into external payor portals.
• Establish the accountability model for agent oversight functions - audit trail, explainability, drift detection, error monitoring, and performance benchmarking.
• Oper