Director, IT AI/Automation and Data Governance

Job Summary

Hybrid Work Environment - Must reside in Hawaii
Pay Range: $114,500 - $237,500
Note: Individuals typically begin between the minimum to middle of the pay range

About the Role

The IT Director, AI/Automation and Data Governance is a senior leadership role responsible for establishing and operationalizing enterprise-wide governance for data, artificial intelligence, and automation.

Responsibilities

• Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
• Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
• Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
• Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
• Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
• Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
• Manage vendor and partner relationships supporting AI, data, and automation capabilities.
• Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
• Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
• Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
• Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
• Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
• Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
• Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
• Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
• Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Data Science, Engineering, or equivalent combination of education and experience.
• Ten years of progressive leadership experience in IT, data, analytics, AI/Automation, or digital technology functions.
• Experience establishing or leading data governance, AI/Automation governance, model risk management, or technology governance programs.
• Experience leading software development, AI/ML, data engineering, or automation teams in an enterprise environment.
• Strong knowledge of data management practices including data quality, metadata, lineage, stewardship, master data, and information lifecycle controls.
• Strong understanding of AI and automation concepts, including model lifecycle management, responsible AI principles, process automation, and operational controls.
• Demonstrated ability to translate technical, regulatory, and risk requirements into practical operating models, standards, and execution plans.
• Experience working across legal, compliance, audit, security, privacy, and business functions in highly regulated or risk-sensitive environments.
• Strong communication, executive presentation, stakeholder management, and organizational leadership skills.
• Intermediate knowledge of Microsoft Office applications, including but not limited to, Word, Excel, PowerPoint, and Outlook.