Associate Director, AI Program Office (AI Office Lead)

Role overview

A senior leadership role running an enterprise-wide AI Program Office within the Office of the CTO at a regulated healthcare and medical imaging organization. The position is the single accountable leader bridging software engineering, product operations, enterprise productivity, and regulatory compliance as AI shifts from isolated experiments to core operational infrastructure. The remit spans governance, risk assurance, cost management, and adoption enablement across the entire business.

Responsibilities

- Architect, operationalize, and maintain the enterprise AI governance framework, including decision gates, review workflows, escalation pathways, and the AI Acceptable Use Policy with supporting SOPs and data-handling guardrails. - Translate policy into automated technical controls via API gateways, connector permissions, model endpoint rules, and usage quotas, and adapt controls to emerging standards such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, HIPAA, and FDA SaMD guidance. - Own the registry of sanctioned AI models, platforms, and API connectors, and proactively identify and mitigate unsanctioned shadow AI in partnership with Information Security. - Run structured risk assessments for new use cases and third-party integrations, maintaining model cards, audit logs, and exception approvals. - Set AI FinOps practices, including token allocation quotas, department-level spend caps, usage and latency reporting, and cross-business-unit chargeback and showback. - Lead enterprise vendor and partner relationships, negotiate enterprise agreements and data terms, and drive enablement, training, and responsible-AI culture across teams.

Requirements

- Bachelor's degree in Computer Science, Engineering, Health Informatics, Information Systems, Business Administration, or a related field; Master's or MBA preferred. - 8+ years of progressive leadership in technology program management, strategy, enterprise architecture, or IT risk and compliance, including 3+ years driving enterprise-wide technical transformation. - Demonstrated experience operationalizing technology, data, or AI governance in regulated environments such as healthcare, life sciences, medtech, or financial services. - Deep understanding of modern generative AI, agentic frameworks, and LLM architectures, including risks such as data leakage, IP exposure, bias, and non-deterministic behavior. - Familiarity with API gateways, identity and access management, data loss prevention, and cloud network access policies. - Strong communication skills with a track record of aligning cross-functional executives across Engineering, Clinical Operations, Legal, Compliance, and Finance.

Nice to have

- Background in digital health, radiology, medical imaging, or medical software subject to FDA SaMD, HIPAA, SOC 2, or GxP requirements.

Benefits and work setup

- Remote or hybrid working environment. - Domestic and international travel up to 15%.