Job Summary
This role supports the design, implementation, and operation of the enterprise AI Governance framework to ensure AI solutions are ethical, compliant, transparent, and risk-managed across their lifecycle. The AI Governance Specialist partners with IT, Legal, Compliance, Privacy, Security, and business teams to operationalize Responsible AI principles, manage AI risk processes, and support governance reviews.
What will you be doing?
Support operation of enterprise AI governance frameworks and Responsible AI principles.
Maintain AI use case inventory and lifecycle documentation.
Execute AI risk intake and tiering processes.
Support governance reviews for medium and high-risk AI use cases.
Assistwith pre-deployment testing and post-deployment monitoring.
Maintain AI risk registers, controls matrices, and reporting
Partner cross-functionally to embed AI governance into enterprise processes.
Support Responsible AI training and communications.
What will you need to be successful?
Education:Bachelor’s degree in Computer Science, Information Systems, Risk Management, Cybersecurity, Data Science, Healthcare, or a related field.
Master’s is a plus.
Experience:Minimum of 3 years of experience in AI governance, data governance, IT risk, compliance, cybersecurity, or regulated environments (e.g., healthcare, finance, or technology).
Demonstrated experience in:
Supporting or executing risk assessments, controls, or governance frameworks
Working within regulated or compliance-driven environments
Collaborating with cross-functional teams (Legal, Privacy, Security, Engineering)
Competencies:
Strong understanding of AI governance concepts and risk domains (bias, fairness, explainability, privacy, security)
Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF, Responsible AI principles)
Knowledge of data privacy and regulatory requirements (e.g., CCPA, GDPR, emerging AI regulations)
Ability to translate policy and regulatory requirements into operational processes
Strong analytical and problem-solving skills
Effective stakeholder management and cross-functional collaboration
Nice to Have
Exposure to AI/ML lifecycle governance (model intake, validation, monitoring)
Experience in audit, controls testing, or risk frameworks
Basic technical understanding of AI/ML concepts (not hands-on development)
Travel Requirements:Up to 10–15%
Location: Candidates should preferably be based near Andover. However, we are also open to remote candidates located elsewhere in the United States.
The anticipated base compensation range for this position is $106,500 to $159,500.00 USD annually. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, and geographic location. Compensation decisions are dependent upon the facts and circumstances of each position and candidate.
In addition to base pay, we offer competitive bonus and benefits, including medical, dental, and vision coverage, 401(k), tuition reimbursement, medical leave programs, parental leave, generous PTO, paid company holidays, 8 hours of volunteer time annually, and a variety of wellness offerings such as EAP.
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