Director - Data & AI Management and Governance

Job Description

Job Description

Director of Data & AI Management and Governance | $136,000–$232,000 | Hybrid | Direct Hire

What Matters Most

• Competitive base salary of $136,000–$232,000 annually
• Hybrid schedule: 4 days onsite / 1 day remote
• Location: Omaha, Nebraska preferred; Kansas City candidates also considered
• Employment Type: Direct Hire
• Comprehensive benefits including medical, dental, and vision insurance, 401(k) with company match, paid time off, and tuition assistance
• Executive leadership opportunity overseeing enterprise Data Governance, Data Management, and AI Governance
• Chair the Generative AI Steering Group, guiding AI use case intake, risk assessments, and approval decisions
• Lead and develop technology teams responsible for responsible AI adoption and enterprise data management
• Partner with executive leadership, Compliance, Risk Management, Information Security, and Internal Audit

Why You'll Love This Opportunity

This is more than a traditional Data Governance leadership position.

You'll help shape how a major financial services organization responsibly adopts artificial intelligence while strengthening the quality, accessibility, and governance of its enterprise data.

As the Director of Data & AI Management and Governance, you'll work at the intersection of technology, business strategy, innovation, and risk management. You'll lead a team responsible for establishing governance practices that enable the organization to expand its use of AI with confidence.

You'll also have the opportunity to influence enterprise AI strategy, collaborate with senior technology and risk leaders, and develop governance frameworks that balance regulatory expectations with emerging technology opportunities.

If you're passionate about data, AI innovation, developing high-performing teams, and translating complex regulatory requirements into practical business solutions, this position offers an opportunity to make a meaningful enterprise-wide impact.

Job Description

Our client, a financially strong and highly respected financial services organization, is seeking a  Director of Data & AI Management and Governance to lead the development and implementation of enterprise data management and artificial intelligence governance frameworks.

This leader will be responsible for enabling responsible data activation and AI adoption while establishing the controls, processes, and oversight necessary to manage risk and meet regulatory expectations.

The position oversees technology resources supporting Data Governance, Data Management, and AI practices, with a particular focus on transparency, accountability, and trust as the organization expands its use of AI in production environments.

Success requires a leader who can balance innovation with risk management, build strong partnerships across business and technology functions, and translate governance requirements into scalable practices that support measurable business value.

Responsibilities

• Lead, manage, mentor, and develop technology professionals supporting enterprise Data Governance, Data Management, and AI Governance
• Develop and implement comprehensive governance frameworks that support responsible data usage and AI adoption
• Chair the Generative AI Steering Group, facilitating enterprise AI use case intake, risk assessments, and approval decisions
• Lead governance activities supporting AI production use cases, ensuring transparency, accountability, and appropriate risk controls
• Oversee implementation and enablement of the  Archer AI Governance Module , including integration of AI use case intake, scoring, and model information
• Partner with AI development teams to establish standards for AI observability, evaluations, and ongoing oversight
• Drive execution of the enterprise Customer Data strategy, improving data quality, completeness, and visibility into progress
• Advance enterprise data cataloging and tagging practices
• Develop and promote AI and Data Literacy initiatives, including methods to measure organizational maturity and progress
• Collaborate with Compliance, Risk Management, Information Security, and other risk functions to align governance practices with regulatory obligations
• Translate technical AI capabilities into business and risk implications for executive and regulatory stakeholders
• Support regulatory examinations and internal reviews by providing governance documentation, controls, and evidence of established practices
• Monitor emerging regulatory expectations, industry standards, and governance practices to continuously improve enterprise frameworks
• Engage with industry working groups, regulatory forums, and peer institutions to understand evolving AI and data governance expectations
• Review strategic technology vendors' AI roadmaps to understand emerging capabilities, associated risks, and governance considerations
• Establish a collaborative, high-performing team culture that encourages innovation, accountability, continuous learning, and professional growth

Qualifications & Requirements

Required

• Bachelor's degree or equivalent professional experience
• 5+ years of technology leadership experience
• Demonstrated experience working successfully in regulated environments
• Professional experience in  Data Management or Data Governance
• Proven success leading, managing, and developing high-performing technology teams
• Strong understanding of governance frameworks, risk management, and organizational controls
• Ability to translate regulatory expectations and industry-recommended controls into scalable, effective business practices
• Experience partnering with business, technology, and risk stakeholders
• Excellent written and verbal communication skills, including the ability to explain complex technology concepts in business terms
• Strong relationship-building, collaboration, and influencing skills
• Experience with financial forecasting and budgeting practices
• Highly organized, structured, and results-oriented approach to leadership

Preferred

Experience with:

• Financial services, banking, or another highly regulated industry
• Artificial Intelligence governance, AI risk management, or enterprise AI adoption
• Enterprise data management and data governance programs
• Data quality, customer data management, and data cataloging
• AI governance platforms or governance workflows
• Regulatory compliance, internal audit, and risk management functions
• Organizational change management and technology transformation
• Working with data across multiple business or technology functions
• Change Management certifications such as Prosci or ADKAR
• Project Management certifications or methodologies such as PMP or Agile