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Cotiviti

Catches billing errors for health insurers

AI Governance Director

Regulatory Compliance & EthicsPosted on Nov 5
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree or higher is required in Computer Science, Engineering, Information Systems, Data Science, Law, Public Policy, Risk Management, or a related discipline.
  • At least 10 years of progressive leadership experience is required in technology governance, risk management, compliance, legal, product oversight, or a related field within a complex, regulated environment.
  • At least 5 years of experience is required in one or more of these areas: AI, data, or technology governance; regulatory compliance, risk management, or audit readiness; oversight of complex, cross-functional technology or product programs; or responding to external inquiries such as client audits, requests for proposals, regulatory requests, or attestations.
  • Experience coordinating across business, legal, compliance, and technical teams to establish standards, manage risk, and support enterprise decision-making is required.
  • Experience working in regulated industries such as healthcare, financial services, government contracting, or technology-enabled services is required.
  • Deep, proven experience with AI governance concepts, risk-tiering models, post-deployment monitoring, and audit-ready documentation is required.
  • Experience engaging with external stakeholders, including clients, regulators, or auditors, is required.
  • The role requires the ability to perform duties with or without reasonable accommodation.
  • The role requires strategic thinking to anticipate emerging AI technologies, regulatory developments, and organizational impacts, and develop governance frameworks that balance innovation, compliance, and business objectives.
  • The role requires critical analysis to evaluate complex AI systems, policies, regulations, and ethical considerations, identify risks, assess impacts, and recommend practical governance solutions.
  • The role requires judgment and decision-making to balance legal, ethical, operational, and business considerations when guiding responsible AI adoption and risk management.
  • The role requires problem-solving skills to identify AI governance challenges, investigate root causes, evaluate alternatives, and implement scalable solutions.
  • The role requires systems thinking across AI technologies, data governance, cybersecurity, privacy, legal requirements, and business operations.
  • The role requires learning agility to acquire and apply knowledge of evolving AI technologies, industry standards, and regulatory requirements.
  • The role requires communication and conceptual reasoning to translate complex technical and regulatory information into clear, actionable guidance for executives, technical teams, and business stakeholders.
  • The role requires the ability to provide a dedicated, secure work area and high-speed internet connectivity, including office setup and maintenance.

Responsibilities

  • Provide enterprise-wide oversight of AI governance by developing and recommending standards, reporting expectations, and evidence-collection processes for responsible use, regulatory readiness, and ongoing compliance monitoring across business units.
  • Maintain and periodically update AI governance policies, standards, procedures, and supporting documentation to address evolving technologies, regulatory requirements, industry standards, and business needs.
  • Serve as enterprise coordinator and governance lead for AI-related client, regulatory, and third-party inquiries by managing intake, triage, response coordination, and delivery of accurate reporting across business units and corporate functions.
  • Coordinate and support executive- and Board-level reporting regarding AI governance, risk management, regulatory developments, and program maturity.
  • Chair or co-chair the AI governance committee and oversee AI intake and risk-tier review processes to ensure consistent governance decisions and organizational visibility.
  • Maintain a centralized, audit-ready inventory of AI use cases, including risk assessments, approvals, testing artifacts, limitations, and records retention.
  • Oversee post-deployment monitoring by tracking required attestations, mitigation actions, and compliance status while business units remain responsible for execution.
  • Provide governance guidance on external demonstrations or disclosures of AI capabilities to protect intellectual property, security posture, and contractual commitments.
  • Deliver regular leadership reporting on AI governance health, including inquiry trends, compliance gaps, risk outcomes, and governance maturity indicators.
  • Coordinate enterprise AI governance training, awareness, and communications programs to support compliance with AI-related policies, standards, and governance requirements.
  • Monitor emerging AI laws, regulations, enforcement actions, industry standards, and client expectations, and assess implications for the governance framework and operations.
  • Coordinate preparation for internal audits and external examinations related to AI by organizing evidence, managing governance repositories, and tracking findings to closure.
  • Partner with engineering and platform teams to embed governance requirements into development workflows and enable automation of evidence capture and controls.
  • Publish governance templates, standards updates, and exemplars to support adoption, consistency, and change management.
  • Work with legal, compliance, privacy, information security, information governance, and business leaders to align AI governance requirements and maintain traceability.
  • Review external AI governance frameworks and standards and recommend practical alignment steps to strengthen governance maturity and client trust.
  • Improve AI delivery efficiency by helping streamline governance workflows and reduce intake-to-decision timelines.
  • Complete responsibilities outlined in the annual performance review and/or goal setting.
  • Complete special projects and other duties as assigned.

Desired Qualifications

  • An advanced degree is strongly preferred, such as a Juris Doctor, master's degree, or equivalent graduate education, particularly in law, technology, data, policy, or risk-related fields.
  • Preferred certifications include IAPP Artificial Intelligence Governance Professional (AIGP), IAPP privacy certifications such as CIPP and/or CIPM, ISO/IEC 42001 Lead Implementer or Lead Auditor (AI Management Systems), ISACA certifications such as CISA and/or CRISC, or another risk, audit, or compliance certification relevant to technology governance.

About the Company

Cotiviti

Catches billing errors for health insurers

Cotiviti sells software and review services that help US health insurers pay medical claims correctly, catch fraud, and track the quality of care their members receive. Its software for HEDIS, the care-quality scores US health plans report, has passed certification by the nonprofit NCQA every year since 2001. Insurers run claims through its coding and payment-policy checks before paying them, while its auditors review medical records and paid claims to recover overpayments. Clients pay it software fees or a share of the savings it finds. Cotiviti began in 1979 by auditing retailers' payments to suppliers, which it still does, and it is based in South Jordan, Utah, and owned by private equity firms Veritas Capital and KKR.

Company size
5,001-10,000
Company stage
IPO
Headquarters
South Jordan, UT
Founded
1979

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