Data Product Owner
About The Position
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 part of building the bank’s next-generation data foundation—bringing 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 product—partnering 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 you’ve 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, you’ll own the vision and roadmap for fraud-related data products within a broader Enterprise Data Product program. You’ll act as the bridge between fraud business teams and data/technology teams—ensuring the right problems are being solved and that solutions are usable, scalable, and impactful. You’ll 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 data—being able to review outputs, validate logic, and confidently guide teams toward the best solutions. You’ll 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. You’ll 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 team—success 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 perspective—especially those who can push for the right outcomes while maintaining strong relationships across functions. Because these roles are newly created, you’ll also have the opportunity to help shape processes, influence direction, and leave a visible mark on a high-priority enterprise program.
Requirements
- Bachelor’s 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 skills used 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
Responsibilities
- 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 performance—continuously improving products based on feedback and outcomes
- Driving key initiatives tied to fraud data modernization, including platform integration and centralized data enablement
Benefits
- excellent training and development to support building the long term careers of employees
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
