Associate Director, Data & AI Governance

This is a fully remote position, open to applicants in Florida.

📋 Description

• Develop and implement a comprehensive, federated Data and AI Governance framework, including policies, standards, operating models, and decision rights that align with the global business strategy and emerging AI/ML initiatives.

• Articulate the vision and roadmap for enterprise data quality, master data management (MDM), data lineage, and metadata management programs, ensuring alignment with AI readiness.

• Obtain executive sponsorship and budget for all governance initiatives, effectively communicating value and managing the program portfolio.

• Direct the Responsible AI program by creating and enforcing policies throughout the AI/ML model lifecycle, focusing on fairness, bias mitigation, explainability (XAI), and transparency.

• Ensure compliance with global data privacy, security, and AI regulations (e.g., GDPR, CCPA, EU AI Act) in collaboration with Legal, Compliance, and Security teams.

• Manage the AI Risk Assessment process, proactively identifying and mitigating technical, ethical, and reputational risks related to AI systems and their underlying data.

• Establish and expand the Data Stewardship and AI Governance bodies, defining roles and responsibilities while empowering a network of Data/AI Owners within business units.

• Promote Data/AI literacy and foster a cultural shift towards data ownership and responsible AI usage across the organization.

• Oversee the selection, implementation, and effective use of modern Data and AI Governance tools (e.g., Data Catalog, MDM, AI Risk Management platforms).

• Lead and mentor a high-performing global team of governance specialists, architects, and analysts.

• Act as the primary point of contact for the C-suite, delivering clear, concise, and actionable updates on the status of Data & AI Governance, risk posture, and compliance.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, or Engineering.

• Over 15 years of progressive experience in Data Management, Data Governance, or Information Technology.

• More than 10 years of experience leading data governance frameworks (e.g., DAMA-DMBOK, CDMC, DCAM) and executing their practical implementation in a large-scale enterprise setting.

• At least 8 years in a senior leadership role managing global teams and complex, cross-functional programs.

• A minimum of 8 years of experience in the AI/ML model lifecycle, covering data preparation, model training, deployment, and monitoring, along with the specific governance challenges they entail (e.g., model drift, bias).

• 8+ years of experience with major cloud-based data platforms (AWS, Azure, GCP) and data governance tools (Collibra, Alation, Atlan, or similar).

• At least 5 years of experience in AI/GenAI governance, model risk management, and compliance frameworks.

• 5+ years of experience with current and evolving global data and AI regulations (GDPR, CCPA, EU AI Act, etc.) and the ability to translate legal requirements into technical and process controls.

• Must be authorized to work in the US without restriction. Sponsorship is not available.

🏝️ Benefits

• Health Care Benefits: Medical, Dental, Vision.

• Wellness incentives.

• Retirement Benefits.

• Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation.

• Disability: Short-term and long-term disability.

• Life Insurance and Accidental Death and Dismemberment.

• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account.

• Tuition Assistance.