Associate Director, AI Program Office – AI Office Lead

DeepHealth

. Lead the enterprise AI Program Office within the Office of the CTO .

Posted 10/2/2026full-timeSomerville • Massachusetts • United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise AI governance frameworks, operationalizing AI adoption, and managing compliance within regulated environments. Proficient in negotiating vendor agreements and driving strategic technology initiatives to enhance AI capabilities across the organization.

Highest-signal resume keywords

Enterprise AI GovernanceAI Risk ManagementAPI Gateway ManagementTechnology Program ManagementRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Governance FrameworksGenerative AIData Loss PreventionToken Consumption GovernanceImpact AssessmentsModel CardsAudit LogsAI FinOpsDigital Health ComplianceTechnical Transformation Programs

Soft Skills

Exceptional CommunicationCross-Functional AlignmentChange Management

Tools & Technologies

API GatewaysIdentity and Access ManagementCloud Network Access PoliciesAI Software Agreements

Certifications & Qualifications

IAPP AIGPCIPPCISMPMPSAFe Agilist

Industry Keywords

FDA RegulationsHIPAA ComplianceSOC 2GxP RegulationsMedical Software Environments

Tech Stack

Tools & technologies

CloudPMP

About the role

Key responsibilities & impact

Lead the enterprise AI Program Office within the Office of the CTO
Orchestrate enterprise-wide AI adoption, governance, risk assurance, and cost management
Architect, operationalize, and maintain the enterprise AI governance framework
Author and maintain the AI Acceptable Use Policy, SOPs, data-handling guardrails, and role-based permissions
Translate policy into automated technical guardrails using API gateways, connector permissions, endpoint access rules, and usage quotas
Monitor AI governance frameworks and legal mandates and adapt internal compliance controls
Own the registry of sanctioned AI models, platforms, and API connectors
Manage intake and evaluation of new AI tools and capabilities
Identify and mitigate unsanctioned shadow AI tools and integrations
Run risk assessments for AI use cases, prompts/fine-tunes, and third-party integrations
Maintain governance artifacts including impact assessments, model cards, audit logs, and exception approvals
Partner with Information Security, Legal, Privacy, and Quality/Regulatory Affairs
Validate control effectiveness, address audit findings, and support customer and regulatory inquiries
Define AI usage thresholds, token quotas, and department-level spend caps
Build enterprise AI visibility reporting for usage, token efficiency, licenses, and latency
Operate cross-business-unit chargeback and showback mechanisms
Lead enterprise AI adoption programs and prioritize high-ROI use cases
Define KPIs and report program health to the CTO and executive leadership
Manage strategic technology and AI vendor relationships, agreements, renewals, and performance reviews
Negotiate BAAs, zero-data-retention terms, license tiers, and performance SLAs
Drive AI fluency through role-based curricula, prompt-engineering playbooks, and office hours
Advise department heads and product teams on practical, compliant AI implementations
Promote responsible AI adoption with change management and communications teams
Follow safety, privacy, compliance, confidentiality, and attendance standards

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Health Informatics, Information Systems, Business Administration, or a related field
8+ years of progressive leadership in technology program management, technology strategy, enterprise architecture, or IT risk/compliance
3+ years driving enterprise-wide technical transformation programs
Proven track record operationalizing technology, data, or AI governance programs within regulated environments
Deep understanding of modern generative AI, agentic frameworks, LLM architectures, and associated risks
Familiarity with API gateways, identity and access management (IAM), data loss prevention (DLP), and cloud network access policies
Exceptional communication skills with demonstrated success aligning cross-functional executives
Direct background in digital health, radiology/medical imaging, or medical software environments subject to FDA (SaMD), HIPAA, SOC 2, or GxP regulations (preferred)
Hands-on experience establishing AI FinOps, token consumption governance, or showback/chargeback models (preferred)
Relevant certifications such as IAPP AIGP, CIPP, CISM, PMP, or SAFe Agilist (preferred)
Direct experience negotiating enterprise AI software agreements and vendor terms (preferred)
Ability to follow employment laws, company policies, data privacy, compliance, safety, and confidentiality standards
Ability to travel domestically and internationally up to 15%
Must be legally authorized to work in the United States or indicate sponsorship needs

Benefits

Comp & perks

Domestic/international travel up to 15%
Remote / Hybrid work arrangement