Director Data & AI Governance

The Doctors Company
19hHybrid

About The Position

The Doctors Company is seeking a Director of Data & AI Governance to join our team. This is a hybrid or remote opportunity depending on the final candidate's location from the company's offices. The Director of Data & AI Governance leads enterprise Data and AI governance at the group level, ensuring trusted, secure, compliant, ethical, and business-aligned use of data and AI assets. This role embeds governance into data platforms, integration patterns, analytics products, and AI/ML lifecycles to enable reporting modernization, advanced analytics, and scalable AI adoption while managing risk and regulatory obligations.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Data Engineering, AI/ML, or a related field.
  • 12+ years of progressive experience in enterprise data, analytics, AI, or technology delivery roles, including director-level accountability.
  • Demonstrated ownership of enterprise-scale data governance and AI governance programs with measurable business outcomes.
  • Hands-on experience with modern data platforms like Purview and Atlan, analytics ecosystems, and AI/ML lifecycle management.
  • Proven experience operating in regulated environments and partnering with legal, compliance, privacy, security, and risk stakeholders.
  • Strong executive communication, influence, and decision-making skills across business and technology leadership.
  • Enterprise data and AI governance operating model design 
  • Integrated data, analytics, and AI strategy development 
  • AI/ML lifecycle governance (AI model risk, ethics, transparency, monitoring) 
  • Domain-based data ownership and product-oriented operating models 
  • Metadata, lineage, data quality, and AI model documentation frameworks 
  • Responsible, ethical, and compliant AI enablement 
  • Change management, adoption, and organizational AI maturity advancement

Nice To Haves

  • Advanced degree (MS, MBA, or equivalent) preferred when combined with hands-on technology delivery and enterprise leadership experience.

Responsibilities

  • Establish, integrate, and operationalize a unified enterprise data and AI governance framework, including policies, standards, decision rights, stewardship, and AI accountability models.
  • Embed governance controls into data platforms, pipelines, analytics products, and AI/ML development and deployment workflows.
  • Provide hands-on leadership in designing governance patterns that balance speed, innovation, and risk, and ensure clear ownership across data domains and AI use cases.
  • Own and evolve the enterprise data and AI strategy and multi-year roadmap aligned to business strategy, reporting modernization, digital transformation, and AI-driven value creation.
  • Actively guide prioritization of data domains, analytics capabilities, and AI investments, articulating trade-offs across value, cost, scalability, and risk.
  • Partner with technology and business leaders to translate strategy into executable initiatives.
  • Define and enforce measurable data quality standards and domain-based ownership models.
  • Drive implementation of metadata, lineage, and data discovery capabilities alongside AI model documentation, traceability, and explainability standards.
  • Ensure analytics and AI outputs are trusted, auditable, and fit for enterprise and regulatory use.
  • Ensure data and AI governance supports regulatory, privacy, security, and model risk requirements while enabling advanced analytics and AI adoption.
  • Define and operationalize principles and controls for responsible, ethical, and compliant AI, including bias management, model monitoring, and lifecycle oversight.
  • Partner closely with legal, compliance, risk, and security teams to align governance with enterprise risk posture.
  • Drive enterprise adoption of data and AI governance through executive influence, clear communication, and structured change management.
  • Act as a visible leader and practitioner, ensuring governance models are practical, understood, and embedded into day-to-day delivery.
  • Measure and continuously improve governance maturity and business outcomes.

Benefits

  • competitive compensation
  • an incentive bonus plan
  • outstanding career opportunities
  • an exceptional work environment
  • an impressive benefits package, which starts with medical, family and bereavement leave
  • same-sex domestic partner benefits
  • short- and long-term disability programs
  • an employee assistance program
  • Health, dental, and vision insurance
  • Health care tax-free spending accounts with a company match
  • 401(k) and Roth IRA with company match, as well as catch-up plans for both
  • Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service)
  • Paid holidays each calendar year
  • Life and travel insurance
  • Tax-free commuter benefits
  • In-person and online learning opportunities
  • Cross-function career opportunities
  • Business casual work environment
  • Time off to volunteer
  • Matching donations to qualifying nonprofit organizations
  • Company-sponsored participation at non-profit events
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