Director, AI Security

Why Join Omnicell?

Omnicell is advancing the Autonomous Medication Management, and we are looking for a Director, AI Security, to establish and lead the security capabilities that enable responsible AI adoption across the enterprise. You will define the strategy, architecture, governance, and operational controls that secure Machine Learning, Generative AI, LLMs, AI agents, copilots, and autonomous systems throughout their lifecycle — helping Omnicell move quickly while protecting sensitive data, customers, patients, and the business.

Position scope: This is not solely an AI governance or compliance role. The Director owns the security architecture and control environment governing AI systems as enterprise platforms and AI agents as autonomous identities that access data, invoke tools, and act on the organization’s behalf. The objective is to enable AI at scale — without unmanaged authority, uncontrolled data exposure, or unacceptable enterprise, regulatory, or patient-safety risk. What You’ll Do

 Strategy & Leadership – Define and lead the enterprise AI security strategy, operating model, governance, and roadmap while overseeing the function's performance, resources, and capabilities.

 Enterprise Security Architecture – Extend and align enterprise security architecture and standards to AI technologies, ensuring appropriate controls, risk management, and integration with broader security frameworks.

 AI Security Architecture, Engineering & Operations – Establish and manage AI security controls, architectures, and operational practices across AI platforms, applications, agents, and supporting technologies, ensuring secure development, deployment, and monitoring.

 Cyber-Physical & Connected Device Security – Partner with product and technology teams to secure AI-enabled and connected systems, applying appropriate safeguards, risk management practices, and regulatory considerations.

 Governance & Frameworks – Lead AI security governance, risk oversight, and compliance activities, ensuring alignment with applicable security, privacy, regulatory, and industry frameworks.

Your First 12 Months

Enterprise AI security strategy, governance, and operating model established.

AI inventory, reference architecture, and detection capabilities established — AI and AI-agent inventory with an agent identity and authorization standard; secure GenAI/RAG and MCP/tool reference architecture integrated with the ARB; AI threat-modeling methodology, red-team program, and vendor/model assessment process; and AI Detection & Response capability with incident-response playbooks.

Joint operating model with Product Security for AI touching connected devices; executive metrics and risk reporting in place.

Enterprise security reference architecture extended to AI platforms, agents, and model services (identity fabric, Zero Trust segmentation, dataflow and trust-boundary standards), integrated with the ARB and enterprise risk register.

Cyber-Physical Systems (CPS) and connected-device security controls established for AI embedded in or interfacing with Omnicell pharmacy automation, including IEC 62443/Purdue-aligned segmentation and fail-safe/human-approval requirements for device- and medication-affecting decisions.

Success is measured by coverage (AI systems and agents inventoried, uniquely identified, and reviewed pre-production), red-team coverage, remediation and detection/containment times, and reduction of unauthorized AI use.

15+ years of progressive experience in cybersecurity, security architecture, engineering, or technology risk; 5+ years leading enterprise security architecture, engineering, product, cloud, application, or AI security capabilities.

Experience operating within a formal enterprise security architecture practice (ARB participation, reference architecture ownership; SABSA/TOGAF or equivalent), designing controls that span identity, network, data,