Director Data & AI Governance
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Job Description
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.
Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Data Engineering, AI/ML, or a related field.
- Advanced degree (MS, MBA, or equivalent) preferred when combined with hands-on technology delivery and enterprise leadership experience.
- 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.
Other Competencies:
- 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
Responsibilities:
Enterprise Data & AI Governance Framework & Operating Model
- 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.
Enterprise Data & AI Strategy and Roadmap Ownership
- 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.
Data Quality, Metadata, Model Transparency, and Domain Ownership
- 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.
Risk, Compliance, and Responsible Data & AI Enablement
- 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.
Stakeholder Alignment, Adoption, and Change Management
- 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.
Salary Range: $157,323 - $206,487. Compensation varies based on skills, knowledge, and education. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay.
Benefits
We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more:
- 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
About The Doctors Company
The Doctors Company is the nation’s largest physician-owned medical malpractice insurer. Founded and led by physicians, we are committed to advancing, protecting, and rewarding the practice of good medicine.
The Doctors Company is proud to be Certified™ by Great Place to Work®.
Requirements
- 12+ years of progressive experience in enterprise data, analytics, AI, or technology delivery roles
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Data Engineering, AI/ML, or a related field
- 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
Benefits
- 401k Matching
- Health Insurance
- Paid Time Off
- Performance Bonus
- Remote Work
- Training Budget
Skills
Ready to Apply?
Join The Doctors Company today
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