Director of Data & AI Governance

The Director of Data & AI Governance, Risk, Compliance & Security leads the enterprise strategy and execution for governing data and AI responsibly, securely, and in compliance with global regulations. This role is accountable for establishing a unified control framework across data and AI lifecycle domains—including governance, risk management, security, privacy, and access controls—to enable trusted, compliant, and scalable use of data and AI across the enterprise.

This leader partners across IT, Legal, Cybersecurity, Compliance, and Business functions to balance innovation with risk mitigation while enabling self-service analytics, AI adoption, and digital transformation.

Strategy & Operating Model

• Define and execute the enterprise Data & AI Governance, Risk, and Security strategy aligned with business and regulatory priorities
• Establish a governance operating model and stewardship integrating governance, risk, privacy, and access control disciplines
• Drive adoption of a “secure and compliant by design” framework across data platforms, AI models, and analytics solutions

Data & AI Governance

• Lead enterprise data governance, including data ownership, stewardship, classification, and quality standards
• Establish governance frameworks for AI/ML models, including lifecycle management, explainability, and monitoring (bias, model & Agent drift)
• Define and enforce policies, standards, and controls for data and AI usage

Risk & Compliance

• Develop and operationalize Data & AI risk management frameworks, including Data classification and handling, model risk, data risk, and third-party risk
• Ensure compliance with global regulations (e.g., GDPR, ITAR, EAR, export controls, emerging AI regulations)
• Lead risk assessments, audits, and regulatory engagements related to data and AI
• Embed governance controls into enterprise data platforms (e.g., EDW, data lakes, AI platforms)
• Own and drive Data & AI Audit readiness, compliance reporting, and regulatory response

Security, Privacy & Access Controls

• Define and implement data security and privacy architecture, including encryption, masking, tokenization, and anonymization
• Establish enterprise access control frameworks (RBAC/ABAC), aligned with classification levels and least privilege principles
• Partner with Cybersecurity to ensure alignment with broader enterprise security strategy
• Oversee data privacy programs, including consent management, data minimization, and data subject rights

AI Governance & Responsible AI

• Lead Responsible AI practices, including bias detection, fairness, transparency, and ethical use standards
• Establish approval, validation, and monitoring processes for AI models and GenAI solutions
• Mitigate risks such as AI model drift, hallucination, misuse, and AI whitewashing

Enablement & Culture

• Enable self-service analytics and citizen development with appropriate guardrails and controls
• Drive enterprise-wide data literacy and governance adoption
• Build strong partnerships with business and technology leaders to embed governance into daily operations

Team Leadership

• Lead and scale a high-performing organization across: Data & AI Governance, Risk and Compliance, Security, Privacy and Access Controls
• Define clear roles, accountability models, and performance metrics

US PERSONS REQUIREMENT

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

YOU MUST HAVE

12+ years of experience in data governance, cybersecurity, risk, compliance, or AI governance

Proven leadership experience in building and leading enterprise-scale governance or security organizations

Strong knowledge of: Data governance frameworks (e.g., DAMA-DMBOK), AI/ML governance and risk management, Data security and access control management

Experience with cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GovCloud)

Deep understanding of regulatory environments (ITAR, GDPR, CCPA, industry-specific regulations such as aerospace/defense if applicable)

Strong executive communication and stakeholder management skills

WE VALUE

Experience in highly regulated industries (e.g., aerospace, defense, finance, healthcare)

Bachelor's Degree in Information Technology and Cybersecurity

Familiarity with NIST AI Risk Management Framework, ISO 27001, SOC2

Experience enabling data democratization with governance guardrails

Strong executive communication and stakeholder management skills