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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
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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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

Role function
Product From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

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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