Chief Data Officer

Bonus Type

Summary

Join BOK Financial and lead the bank's cutting-edge technology infrastructure, ensuring seamless and secure digital operations. You'll be part of a team that is always at the forefront of innovation, implementing advanced technologies to elevate banking services. Additionally, you'll contribute to a company that emphasizes long-term relationships, community investment, and talent development, aligning with the brand platform, "We go above. So you can go beyond."

Job Description

The Chief Data Officer (CDO) drives the organization's data strategy, transforming data into a strategic asset to maximize business value. This executive leader defines and implements a modern data architecture, ensures robust data governance and compliance, and optimizes the delivery of high-quality data to support project execution, business strategies and decision-making.  The CDO leads the enterprise data team, managing budgets, developing talent, and partnering with senior leaders to align data initiatives with strategic priorities. This role demands a blend of strategic vision, technical expertise, and strong leadership to drive data innovation, delivery and deliver measurable business outcomes. 

Team Culture

BOK Financial's culture is rooted in its history, starting in 1910 as a regional capital source for the energy industry and evolving into a dynamic financial institution. Our growth from Tulsa, Oklahoma to a nationwide presence reflects our commitment to agility, strong client relationships, and innovative financial solutions. We prioritize serving our clients, fostering a positive work environment for our employees, and making a meaningful impact in the communities we serve, believing that every financial challenge and opportunity is significant.

How You'll Spend Your Time

• You will define and execute the enterprise data strategy, aligning with business objectives and collaborating with stakeholders.
• You will establish data as a strategic asset, driving business value through proactive identification of opportunities and mitigation of risks.
• You will partner with IT to scan for emerging management tools, techniques, and technologies, including AI, for competitive advantage and to minimize duplication.
• You will develop and maintain a robust data operating model, encompassing platform, architecture, and governance.
• You will lead data management and engineering to deliver trusted, high-quality data assets for critical business functions, analytics, financial, and regulatory reporting.
• You will optimize data platform technology, partnering with IT and InfoSec to integrate initiatives and explore emerging technologies like AI.
• You will ensure compliance with financial services regulations and data protection laws, collaborating with Risk Management and Finance.
• You will establish and enforce enterprise data governance frameworks, including data stewardship, policies, and control for critical data elements, master data, and metadata management.

Education & Experience Requirements

A bachelor's or master's degree in STEM, computer science, data science, information systems, or related field. Will consider equivalent work experience.  15+ years of business experience, ideally in business management, financial, data, or IT management. Recently, at or near the executive level in the financial services industry. 

• Proven expertise in modern data architectures (cloud platforms, data warehousing, data lakes), data integration technologies, and BI/analytics tools. 
• Comprehensive understanding of financial services regulations, data privacy laws, and banking operations. 
• Demonstrated ability to develop and execute data strategies, optimize data delivery, and drive measurable business outcomes. Includes agile and modern ways of working in a technical high paced environment. 
• Proven ability to establish and enforce robust data governance frameworks and ensure regulatory compliance. 
• Excellent communication, interpersonal, and relationship-building skills with the ability to articulate a data vision and gain buy-in from executive leadership and stakeholders across the organization. 
• Proven ability to build, lead, and develop high-performing data teams.