Data Transformation Lead
Job Summary
Req ID:77700
Location:Tulsa -TUL
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.
BOK Financial is committed to fostering long-term client relationships by attracting top talent. The company emphasizes innovation growth and teamwork providing a dynamic environment for employees to excel. At BOK Financial we believe in the power of being one team. Success is achieved through a dedication to high standards a passion for excellence and a collaborative spirit that unites us in our mission.
The Data Transformation Lead partners with leaders in Data Governance Cloud Engineering Analytics and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder alignment roadmap integration literacy enablement and use case identification ensuring transformation initiatives deliver measurable business addition this role supports the Chief Data & Analytics Officer coordinating priorities preparing executive materials and ensuring alignment across all data and analytics efforts.
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.
- You will coordinate ED&A program priorities and deliverables to maintain alignment with enterprise objectives.
- You will develop executive briefings dashboards and communications for senior leadership.
- You will serve as a trusted advisor to the Chief Data & Analytics Officer by anticipating needs and clarifying decisions.
- You will partner with crossfunctional leaders to align transformation roadmaps and address organizational challenges.
- You will identify and manage dependencies between data initiatives and broader IT efforts to optimize sequencing and reduce risk.
- You will maintain a centralized view of transformation priorities and communicate progress to senior leadership.
- You will lead data and AI literacy programs while defining shared KPIs to support enterprise-wide adoption.
- You will collaborate with teams to qualify data and AI use cases track impact and manage vendors to ensure successful outcomes.
This level of knowledge is normally acquired through completion of Bachelors or Masters degree in Information Management Computer Science Business Administration or related field of study and 10 years of experience in data management data governance or enterprise information architecture.
- Proven experience in data transformation programs and cross-functional stakeholder management.
- Strong understanding of data management principles AI concepts and IT program interdependencies (conceptual level).
- Ability to translate complex topics into executive-level narratives and actionable plans.
- Familiarity with AWS ecosystem and enterprise data platforms.
- Excellent facilitation communication and change management skills.
BOK Financial Corporation Groupis 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 todayand 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.
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