Director of Data & AI Management and Governance

First National Bank of Omaha•Omaha, NE

3d•Onsite

About The Position

The Director of Data & AI Management and Governance leads the development and implementation of comprehensive frameworks that enable responsible data activation and AI adoption while driving measurable business value. This leader balances risk management with strategic growth, designing governance practices and control frameworks that build confidence with Compliance, Risk Management, Information Security, second-line risk functions, internal audit, and banking regulators. This role leads, manages, and grows an assigned team of technology resources supporting Data Governance, Data Management, and AI practices and processes to ensure transparency and trust around our growing AI production use cases. This team is also responsible for enabling the Archer AI Governance Module and integrating use case intake, scoring, and model details. This position chairs the Generative AI Steering Group, facilitating intake processes, risk assessments, and approval decisions for new AI use cases across the enterprise. It establishes a collaborative work environment that fosters autonomy, transparency, innovation, and personal growth, promoting a fail-fast and learn-fast environment. The role works closely with AI development teams on standards for Observability and Evaluations on AI capabilities. It drives execution on Customer Data strategy, including quality and completeness of customer data with visibility to targets and progress and business engagement. It drives ongoing maturity in cataloging and tagging FNBO data assets. It develops AI and Data Literacy campaigns and practices to measure maturity and progress. The role collaborates extensively with second-line risk functions including Compliance, Risk Management, and Information Security to ensure governance frameworks align with risk appetite and regulatory obligations. It serves as a liaison to Compliance, Risk Management, and Information Security on AI governance matters, translating technical capabilities into risk implications and ensuring governance controls address identified risks appropriately. It also partners with these functions to prepare for regulatory examinations, providing documentation and practices details. The role drives continuous improvement of governance frameworks through engagement with industry working groups, regulatory forums, and peer institutions to understand emerging practices and regulatory expectations. It conducts regular reviews with Strategic Bank vendors to understand their AI roadmaps and ensure transparency into their solutions.

Requirements

Bachelors' degree or equivalent work experience
5+ years of experience in technology leadership with a preferred experience with data and AI and risk management.
Demonstrated experience working in regulated environments and proven results
Experience in Data Management or Data Governance roles
Highly structured and results oriented
Success in managing and developing high-performing technology teams
Excellent oral and written communication skills, including the ability to explain technology solutions in business terms, establish rapport and persuade others
Experience with financial forecasting and budgeting practices
Unrestricted work authorization and not require future sponsorship.

Nice To Haves

Experience in Financial Services or another highly regulated field
Certification in Change Management (Prosci, ADKAR) or Project Management (PMP, Agile)
Experience working with Data in different capacities
Continuous learner, staying abreast of industry updates and trends in a rapidly evolving space.
Collaborative and inclusive partner to help navigate change and ensure alignment
Passion for data, improving quality and making it actionable to support business strategy.
Desire to work in a fast-paced, high-energy environment and delivery results that provide measurable value to the company
Able to translate regulator and industry recommended controls into scalable and effective practices that will manage risk while enabling innovation
Takes a very high degree of initiative and has a strong work ethic
Operates with integrity and respect for others

Responsibilities

Lead, manage and grow assigned team of technology resources supporting Data Governance, Data Management and AI practices and processes.
Ensure transparency and trust around our growing AI production use cases.
Be responsible for enabling the Archer AI Governance Module and integrating use case intake, scoring and model details.
Chair the Generative AI Steering Group, facilitating intake processes, risk assessments, and approval decisions for new AI use cases across the enterprise.
Establish a collaborative work environment that fosters autonomy, transparency, innovation, and personal growth fostering a fail fast and learn fast environment.
Work closely with the AI development teams on standards for Observability and Evaluations on AI capabilities.
Drive execution on Customer Data strategy, including quality and completeness of customer data with visibility to targets and progress and business engagement.
Drives ongoing maturity in cataloging and tagging FNBO data assets.
Develop AI and Data Literacy campaigns and practices to measure maturity and progress.
Collaborates extensively with second-line risk functions including Compliance, Risk Management, and Information Security to ensure governance frameworks align with risk appetite and regulatory obligations.
Serves as liaison to Compliance, Risk Management, and Information Security on AI governance matters, translating technical capabilities into risk implications and ensuring governance controls address identified risks appropriately.
Partners with these functions to prepare for regulatory examinations, providing documentation and practices details.
Drives continuous improvement of governance frameworks through engagement with industry working groups, regulatory forums, and peer institutions to understand emerging practices and regulatory expectations.
Conduct regular reviews with Strategic Bank vendors to understand their AI roadmaps and ensure transparency into their solutions.