1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Location
onsite, Richardson, Texas, United States
Commitment
Full Time
Level
Senior (5+ years)
The Senior Data Quality Engineer 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.
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.
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. Experience developing solutions on AWS or another cloud platform. Experience with cloud data warehousing (e.g., Snowflake) and SQL compilation/orchestration frameworks (e.g., dbt). Strong understanding of data quality practices and enterprise information management concepts. Working knowledge of regulations such as CCPA, GDPR, HIPAA, SOX, and GLBA. Strong SQL skills required. 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! Apply today and take the first step towards your next career opportunity!
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.
Please contact recruiting_coordinators@bokf.com with any questions.