Data Product Owner - Fraud
BOK Financial Corporation - Dallas, TX
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
Matched to SOC 11-1021 - Product Management aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Product Owner - Fraud Dallas, TX Req ID: 78017 Location: Areas of Interest: Areas of Interest Risk Management|Information Technology|Data|Enterprise Data Pay Transparency Salary Range: Application Deadline: BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®. Bonus Type Discretionary Summary 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 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. Job Description 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 bet
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