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 and adoption programs, with a strong focus on compliance, risk management, and operationalizing AI frameworks. Proficient in managing vendor relationships and driving strategic technology initiatives across various business units.

Highest-signal resume keywords

Enterprise AI GovernanceAI Risk ManagementAPI Gateway ManagementTechnology Program ManagementGenerative AI Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Governance FrameworkData Handling GuardrailsRisk AssessmentKPI DefinitionTechnical TransformationOperationalizing AI ProgramsAlgorithmic Impact AssessmentsModel Endpoint Access RulesToken Allocation QuotasAudit Logs

Soft Skills

Exceptional CommunicationCross-Functional AlignmentChange Management

Tools & Technologies

API GatewaysIdentity and Access Management (IAM)Data Loss Prevention (DLP)Cloud Network Access Policies

Industry Keywords

Regulated EnvironmentsData Privacy StandardsCompliance StandardsHealth InformaticsTechnology Strategy

Tech Stack

Tools & technologies

Cloud

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 enterprise AI Acceptable Use Policy, SOPs, data-handling guardrails, and role-based permissions
Translate policy into automated technical guardrails using API gateways, connector permissions, model endpoint access rules, and usage quotas
Monitor AI frameworks and legal mandates and adapt internal compliance controls
Own and curate the registry of sanctioned AI models, platforms, and API connectors
Manage intake and evaluation of new AI tools and capabilities
Identify, monitor, and mitigate unsanctioned shadow AI tools and integrations
Run risk assessments for AI use cases, internal prompts/fine-tunes, and third-party AI integrations
Maintain governance artifacts including algorithmic impact assessments, model cards, audit logs, and exception approvals
Validate control effectiveness, address audit findings, and support customer and regulatory inquiries
Define token allocation quotas, usage thresholds, and department-level spend caps
Build AI visibility reporting for usage, token efficiency, license utilization, and latency metrics
Design and operate cross-business-unit chargeback and showback mechanisms
Lead enterprise AI adoption programs and prioritize use cases across clinical operations, corporate functions, and engineering
Define KPIs, measure outcomes, and report program health to the CTO and executive leadership
Manage strategic technology and AI vendor relationships, enterprise agreements, BAAs, data-retention terms, license tiers, and performance SLAs
Manage contract renewals and vendor performance reviews
Drive enterprise 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

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
Follows data privacy, compliance, safety, and confidentiality standards
Ability to travel domestically and internationally up to 15%
Must follow applicable employment laws and DeepHealth policies and procedures
Reports regularly as scheduled and maintains satisfactory attendance

Benefits

Comp & perks

Domestic/international travel up to 15%