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Director, Enterprise Data Architecture

Job in Owasso, Tulsa County, Oklahoma, 74055, USA
Listing for: BOK Financial Corporation
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 130000 - 205000 USD Yearly USD 130000.00 205000.00 YEAR
Job Description & How to Apply Below

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Areas of Interest: Enterprise Data;
Data

Pay Transparency Salary Range: $130,000 - $205,000

Final date to receive applications: 10/31/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates Trans Fund 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

Build data that matters at a bank with deep roots and bold plans. Our team is advancing a cloud, data, and AI transformation—creating an enterprise data lake, governed products, and scalable analytics. By connecting data across the bank, we help teams make smarter decisions, manage risk, and better serve clients. Our work drives stronger performance, more efficient operations, and more consistent experiences enterprise‑wide.

Job Description

The
Director, Enterprise Information Architecture
will lead an expert team of diverse, highly skilled data professionals including Enterprise Data Architects, Data Modelers and Data Product Managers. This team will be responsible for modernizing and managing the enterprise data architecture including structured and unstructured data, advancing data technology and data products in alignment with the Enterprise Data Vision and Strategy. The Director, Enterprise Information Architecture will collaborate with the Chief Data Officer, Data Management team directors, Data Governance, and Enterprise Architecture to produce, and advance strategic playbooks and roadmaps to grow and mature the Enterprise Information Architecture practice at BOKF.

Team Culture

Join a team where leadership is genuinely invested in your growth—because your potential is our priority. Our culture is grounded in collaboration, trust, and shared accountability, with leaders who create space for ideas, development, and meaningful contributions. Backed by executive sponsorship and a supportive, people-first mindset, you’ll be part of a team that values your voice and helps you grow while doing work that matters.

How You'll Spend Your Time
  • You will develop and execute the enterprise data strategy and architecture aligned with business goals.
  • You will create strategic roadmaps and business cases to modernize data platforms.
  • You will identify opportunities to improve data accessibility, usability, and performance.
  • You will lead and develop a team delivering enterprise data solutions and products.
  • You will enhance and evolve the enterprise data model to support organization-wide data usage.
  • You will ensure projects align with enterprise data architecture principles and standards.
  • You will provide data architecture leadership, solution planning, and delivery cost estimates.
Education & Experience Requirements

This level of knowledge is normally acquired through completion of Bachelor's degree in computer science, information-technology, engineering, system analysis or a related study with a minimum of 10+ years of experience in at least two data related disciplines, including data management, data governance, data product development, database administration and management or equivalent combination of education and experience. Experience working in a relevant industry is preferred.

  • Broad exposure to diverse data technologies, platforms, and processing environments.
  • Deep expertise in data management, including data integration, manipulation, governance, and master data management.
  • Proven ability to develop architecture strategies, blueprints, and roadmaps.
  • Strategic thinker with the ability to balance long-term vision and short-term execution.
  • Strong understanding of data lifecycle—generation, flow,…
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