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Associate Director, AI Governance

SpringCube

Full time - Director+

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare organization is seeking an Associate Director of AI Governance to lead and operationalize enterprise AI governance initiatives. The organization focuses on delivering innovative healthcare solutions while ensuring AI adoption is responsible, compliant, and aligned with organizational risk and strategic goals. The team works closely with cross-functional stakeholders to embed AI governance throughout the full lifecycle of AI solutions, including generative AI, predictive models, and vendor-enabled capabilities.

Summary
The Associate Director of AI Governance will develop and execute the enterprise AI Governance strategy, lead an AI Governance operations core team, and ensure AI solutions are designed, deployed, and monitored in a secure, reliable, and compliant manner. This role requires strong leadership, operational rigor, and cross-functional collaboration to promote responsible AI adoption across the organization.

Responsibilities

  • Lead AI governance operations end-to-end, including intake, triage, risk tiering, review coordination, approvals, decision logging, action tracking, and closure for AI use cases
  • Translate policies into execution by building repeatable workflows, templates, and checklists for AI governance activities
  • Maintain an enterprise AI inventory/registry of AI use cases and systems, including ownership, risk classification, required controls, and governance status
  • Conduct cross-functional forums, prepare pre-reads, facilitate discussions, and ensure follow-through on decisions
  • Partner with Risk, Legal, Enterprise Architecture, Procurement, Security, and other enabling groups to align governance checkpoints with enterprise controls
  • Coordinate with AI CoE, data product owners, and delivery teams to embed governance into product and delivery lifecycles from design through monitoring and retirement
  • Support governance for third-party/vendor AI through intake requirements, due diligence, control expectations, and ongoing oversight
  • Define and report on operational KPIs, and drive continuous improvement to reduce friction without weakening controls
  • Prepare and deliver executive-level presentations on AI governance progress, challenges, and strategic direction
  • Develop and deliver targeted enablement such as training, office hours, and playbooks to improve AI governance literacy
  • Promote a culture of responsible AI adoption across the organization through change management and AI fluency initiatives

Qualifications

  • 10+ years of experience in AI, analytics, data science, AI governance, or related roles
  • 5+ years of experience in the healthcare industry
  • 5+ years of leadership and people management experience, including managing full-time employees and contractors
  • Deep understanding of AI governance operations and frameworks, including hands-on experience leading AI solution governance
  • Experience with model governance, risk and compliance programs, or adjacent control programs in regulated environments
  • Strong operational rigor in process design, documentation, evidence collection, control tracking, and continuous improvement
  • Proven ability to coordinate and drive decisions across Risk, Legal, Compliance, Privacy, Information Security, Audit, and Data Governance teams
  • Strong facilitation, decision-enablement, and consensus-building skills
  • Ability to design and lead AI education and training programs for various user personas
  • Ability to influence executive leadership on strategic decisions and risk escalation
  • Working knowledge of AI/ML and generative AI across the full lifecycle
  • Knowledge of healthcare data domains including enrollment, claims, provider, clinical, and financial data
  • Experience with cloud-based AI technology stacks (e.g., Google Cloud, AWS)
  • Experience implementing governance workflows using enabling tools (e.g., GRC platforms, workflow systems)
  • Exceptional executive presence, communication, and collaboration skills
  • Bachelor’s degree preferred

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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