BCBSMA
Associate Director, AI Governance
Boston · Director · Full-time
Sponsorship not specified$159k-$194kDetected 30 days ago
AWSGCPMachine LearningData ScienceLLMsProcurementLeadershipCommunicationCollaborationPublic Speaking
About the role
- The Associate Director of AI Governance is a key leader in operationalizing BCBSMA's AI Governance strategy as the organization scales responsible AI adoption in service of its mission.
- This role is eligible for our Flex Persona.
- For candidates local to our Boston, MA and Hingham MA offices.
Responsibilities
- Partner with cross-functional leaders including Risk, Legal, Enterprise Architecture, Procurement, Security, and other enabling groups to align governance checkpoints with enterprise controls.
- Define and report on operational KPIs (e.g., throughput, cycle time, exception rates, common control gaps) and drive continuous improvement to reduce friction without weakening controls.
- Prepare and deliver executive-level presentations and briefings on the AI governance program's progress, challenges, and strategic direction.
- Develop and deliver targeted enablement (training, office hours, playbooks) to improve AI Governance literacy, responsible use, and consistent adoption of AI governance processes.
- Promote a culture of strengthened responsible AI adoption across the organization through collaboration with change management efforts and support of AI fluency efforts.
- Demonstrated operational rigor in process design, documentation standards, evidence collection, control tracking, and metrics-driven continuous improvement.
- For more information on how we work and support that work/life balance visit our " How We Work " Page.
- Translate policies into execution by building repeatable workflows, templates, and checklists (e.g., use case intake, risk assessment, human oversight plan, documentation and evidence requirements).
- Support governance for third-party/vendor AI (tools, platforms, embedded features) through intake requirements, due diligence inputs, control expectations, and ongoing oversight.
- Deep understanding of AI governance operations and frameworks, with hands-on experience leading best practices for AI solution design.
Requirements
- High school degree or equivalent required unless otherwise noted above
- 10+ years of experience in AI, analytics and data science, AI governance, or related roles.
- 5+ years of experience in leadership and people management.
- Maintain the enterprise AI inventory/registry of AI use cases and systems, including ownership, risk classification, required controls, and governance status.
- 5+ years of experience in the healthcare industry.
- Exceptional executive presence, communication, and collaboration skills.
- #LI-HYBRID
- Minimum Education Requirements:
- Location
- Boston Time Type
- Full time
- Salary Range: $158,600.00 - $193,800.00
- The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.
- This job is also eligible for variable pay.
Nice to have
- Bachelor's degree preferred.
Skills
- Strong cross-functional collaboration skills to enable AI product teams and end users to succeed.
Compensation
- $158,600.00 - $193,800.00
- The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.
- We may ultimately pay more or less than the posted range, and the range may be modified in the future.
- This job is also eligible for variable pay.
- An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable.
Benefits
- Coordinate with the AI CoE, data product owners, and delivery teams to embed governance into product and delivery lifecycles (from design through monitoring and retirement).
This listing is sourced directly from BCBSMA's careers page and normalized into a canonical job model.