Data Product Owner Fraud

The Fraud Data Product Owner is a newly created role at the center of a major enterprise initiative to transform how we detect and prevent fraud. This team is a part of building the banks next-generation data foundationbringing together fragmented fraud data into a single modern ecosystem that delivers immediate loss prevention outcomes while enabling long-term fraud resilience.

This role sits at the intersection of fraud data and productpartnering closely with fraud leaders and data engineering teams to define prioritize and deliver data products that directly impact fraud detection decisioning and operational efficiency. If youve worked in fraud financial crimes or AML and enjoy solving complex problems through data this is a unique opportunity to help shape something from the ground up.

In this role youll own the vision and roadmap for fraud-related data products within a broader Enterprise Data Product program. Youll act as the bridge between fraud business teams and data/technology teamsensuring the right problems are being solved and that solutions are usable scalable and impactful.

Youll gather and translate business needs into clear product requirements prioritize a backlog of work based on risk and business value and partner with data engineering teams through development testing and delivery. This includes helping guide the integration and optimization of fraud platforms and ensuring data accuracy usability and governance standards are met.

Success in this role requires both fraud domain knowledge and comfort working with databeing able to review outputs validate logic and confidently guide teams toward the best solutions. Youll also play a key role in modernization efforts helping migrate and unify data into a centralized environment that enables stronger analytics reporting and decisioning across the enterprise.

Youll be part of a highly collaborative build-focused environment where fraud risk and data teams work side by side to solve real problems. This is a hands-on partnership-driven teamsuccess comes from open dialogue shared ownership and the ability to challenge thinking in a constructive way.

The team values people who are curious solutions-oriented and confident in their perspectiveespecially those who can push for the right outcomes while maintaining strong relationships across functions. Because these roles are newly created youll also have the opportunity to help shape processes influence direction and leave a visible mark on a high-priority enterprise program.

• Defining fraud data product strategy roadmap and priorities aligned to loss prevention and operational efficiency goals
• Partnering with fraud risk and business leaders to gather requirements and translate them into actionable product backlogs
• Collaborating with data engineering and scrum teams to guide development validate outputs and ensure solutions meet business needs
• Evaluating data quality usability and performancecontinuously improving products based on feedback and outcomes
• Driving key initiatives tied to fraud data modernization including platform integration and centralized data enablement

This level of knowledge is normally acquired through completion of a Bachelors Degree in Computer Science Data Science Business or a related field and a minimum of 6 years of experience in product management preferably in data products or equivalent combination of education and experience.

• Highly developed SQL skills and experience with Python and reporting technologies (Power BI Tableau etc.)
• An understanding of data governance and master data management and their role in data integrity and mastered data products.
• Demonstrated Product Management ability including utilizing an agile framework to lead a team in the delivery of data products.
• Excellent leadership skills including alignment with BOKF core values. Proven ability to manage priorities across business units and lines of authority.
• Excellent verbal and written communication skillsused across all levels of an organization. Ability to build strong business and team partnerships is essential.
• Proven track record of successfully supporting and managing projects with business leaders including financial acumen.
• Advanced analytical and problem-solving skills; must be able to independently solve complex problems and identify solutions.
• Excellent analytical and organizational skills with strong aptitude to collect and analyze complex problems that include interrelationships and dependencies in order to formulate effective solutions
• Experience developing joint solutions and/or completing data integrations with external partners

• Proven ability to balance multiple competing priorities and make judgment calls based on objective information