Senior Data Quality Engineer

BOK Financial Corporation; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

BOK Financial Corporation is a top financial institution focused on personalized client relationships, offering sophisticated financial products and services. The Senior Data Quality Engineer role supports enterprise-level data quality initiatives and collaborates with business and technical data stewards to drive governance and remediation testing.

The position emphasizes embedding data quality across systems, complying with regulatory expectations, and improving operational efficiency within a

Qualifications

• Bachelor’s degree in MIS, Statistics, Computer Science, or a related field.
• Minimum 5–7 years of data-driven or data governance experience in financial services.
• Strong understanding of data quality practices and enterprise information management concepts.
• Regulatory knowledge: CCPA, GDPR, HIPAA, SOX, GLBA.
• Experience designing and executing data integrity and validation tests.
• Experience with data modeling and process documentation tools.
• Power BI or similar reporting tools preferred.
• Excellent written and verbal communication skills to translate data issues into insights.
• Analytical and problem-solving skills to identify patterns and root causes.
• Strong organizational skills and ability to manage multiple priorities.

Responsibilities

• Profile and validate enterprise data to identify quality exceptions, trends, and root causes.
• Analyze data quality issues for senior leaders and partners with actionable recommendations.
• Collaborate with Data Stewards to define quality rules, monitor metrics, and verify remediation.
• Develop and maintain data quality indicators, scorecards, and reports for transparency.
• Contribute to enterprise data quality frameworks, standards, and best practices.
• Ensure data quality considerations are embedded in system changes and initiatives.
• Promote data quality awareness through documentation and training.
• Build processes, KPIs, and metadata practices supporting governance and MDM.

Skills

Data quality practices

Regulatory knowledge

Education

Bachelor’s degree in MIS, Statistics, Computer Science, or related field

Tools

Power BI

Job description

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Senior Data Quality Engineer

Areas of Interest: Enterprise Data

Pay Transparency Salary Range: Not Available

Application Deadline: 09/30/2026

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

BOK Financial is a top financial institution that offers a range of sophisticated financial products and services, focusing on personalized client relationships. With over a century of experience, we serve consumers, businesses, and wealth clients across the American Midwest and Southwest. We emphasize long‑term relationships, community investment, and talent development, aligning with our brand platform, "We go above. So you can go beyond."\

Job Description

The Senior Data Quality Analyst is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis, documentation, issue detection, root cause analysis, and remediation testing. This role partners closely with business and technical data stewards to identify data quality issues, recommend practical solutions, and contribute to the development and maintenance of business and data architecture artifacts.

The position plays a critical role in advancing a strong, sustainable data quality culture by ensuring that data quality practices are applied in a manner that supports business strategy, complies with regulatory expectations, and improves operational efficiency across the organization.

Team Culture

Our team thrives on collaboration, continuous learning, and innovation. We work closely together, leveraging cutting‑edge technologies and sharing our expertise to solve complex problems efficiently. By encouraging creativity and adaptability, we experiment with new tools and methodologies, fostering a dynamic and tech‑forward work environment. Additionally, we focus on creating a positive and supportive atmosphere, ensuring everyone feels valued and motivated to excel.

How You’ll Spend Your Time

• You will profile and validate enterprise data to identify quality exceptions, trends, and root causes.
• You will analyze data quality issues for senior leaders and partners, providing clear recommendations for resolution.
• You will collaborate with Business and Technical Data Stewards to define quality rules, monitor metrics, and verify remediation results.
• You will develop and maintain data quality indicators, scorecards, and reports that strengthen transparency and decision‑making.
• You will contribute to improving enterprise data quality frameworks, standards, and best practices.
• You will ensure data quality considerations are embedded in system changes and data‑related initiatives.
• You will promote data quality awareness through documentation, training, and ongoing stakeholder engagement.
• You will build processes, KPIs, and metadata practices that support governance, MDM rules, regulatory requirements, and the adoption of BOKF tools and automation.

Education & Experience Requirements

This level of knowledge is normally acquired through completion of a Bachelor’s degree in MIS, Statistics, Computer Science, or a related field. Minimum 5–7 years of experience in a data‑driven or data governance–focused role within the financial services sector is strongly preferred.

• Strong understanding of data quality practices and enterprise information management concepts
• Working knowledge of regulations such as CCPA, GDPR, HIPAA, SOX, and GLBA
• Experience designing and executing data integrity and validation tests
• Experience with data modeling and process documentation tools
• Experience with Power BI or similar reporting tools preferred
• Strong written and verbal communication skills with the ability to translate complex data issues into clear insights
• Excellent analytical and problem‑solving skills, including the ability to identify patterns, dependencies, and root causes
• Strong organizational skills with the ability to manage multiple priorities in a dynamic environment
• Ability to work independently while collaborating effectively across business and technical teams
• Demonstrated professionalism, curiosity, and commitment to data quality excellence

BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees.With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career!

The companies in BOK Financial Corporation Group are equal opportunity employers. We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status.

Investing in our talent and building a great workplace is a top priority for us.

For more than a century, BOK Financial Corporation has helped fuel the success of clients and communities. Since our humble beginnings in Tulsa, Oklahoma, we’ve grown into a diversified financial services company that serves consumers, small businesses and international corporations—and everything in between.

Facts:

• Operations focused in an eight‑state footprint
• 5,000 team members
• $53.2 billion in assets*
• $129.3 billion in assets under management and administration*
• $9.3 million donated to local nonprofits in 2025
• 56,000 volunteer hours by our employees in 2025

Nearest Major Market: Dallas

Nearest Secondary Market: Fort Worth

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