Senior Manager, Data Engineering

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., The Senior Manager, Data Engineering provides leadership and oversight for enterprise data engineering capabilities, with responsibility for the design, development, and delivery of scalable data pipelines and data products across the organization. This role leads multiple teams or domains supporting data ingestion, transformation, data modeling, and CI/CD enablement for analytics and data platform solutions. The position operates across modern data engineering ecosystems, including data integration platforms, streaming and event driven technologies, transformation frameworks, and cloud data platforms, including but not limited to tools such as Fivetran, Confluent, dbt, Spark, Snowflake, Databricks, and similar technologies. The role partners closely with Data Architecture, Platforms, Analytics, and business leadership to define engineering standards, best practices, and enterprise delivery frameworks that ensure scalable, reliable, and efficient data solutions., * You will lead multiple data engineering teams aligned to enterprise priorities.

• You will build and develop high-performing engineering organizations.
• You will define and execute enterprise data engineering strategy.
• You will establish engineering standards, frameworks, and best practices.
• You will oversee scalable data pipelines and platform capabilities.
• You will ensure data solutions are reliable, efficient, and cost-effective.
• You will drive enterprise data modernization and transformation efforts.
• You will partner across teams to advance data governance and innovation.

This level of knowledge is normally acquired through completion of a Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience. Requires 15+ years of experience in enterprise data engineering, data integration, or cloud data ecosystems, including 7+ years of leadership experience at Manager or Senior Manager level leading teams or large scale data initiatives.

• Demonstrated expertise in modern data engineering, including design, development, and scaling of enterprise data platforms, pipelines, integration frameworks, and analytical data solutions across cloud-native and distributed ecosystems.
• Deep knowledge of data ingestion, transformation, ETL/ELT architectures, data modeling, and scalable analytical data structures, including implementation on cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, or similar technologies.
• Strong understanding of platform operations, reliability, observability, monitoring, security, identity and access management, resiliency, performance optimization, and cloud cost management.
• Experience establishing engineering standards, governance practices, operating models, CI/CD processes, version control, automated testing frameworks, and delivery methodologies that support scalable and reliable engineering operations.
• Proven ability to lead and develop engineering organizations, including organizational design, talent development, succession planning, performance management, and leadership through managers and senior technical leaders.
• Demonstrated success evaluating, selecting, implementing, and governing enterprise data engineering technologies, tools, platforms, and third-party solutions.
• Strong stakeholder management, communication, and influence skills, with the ability to collaborate across architecture, platform, security, analytics, and business functions and effectively communicate technical concepts to both technical and executive audiences.
• Exceptional analytical, problem-solving, and decision-making capabilities, including root cause analysis, risk identification and mitigation, issue resolution, continuous improvement, and accountability for engineering delivery, operational excellence, and business outcomes.

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

• Empowered employees
• Award-winning culture
• Community commitment

BOK Financial Corporation Group adheres to state specific pay transparency requirements. In order to be considered for a position with BOK Financial Corporation Group, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the application deadline.

Base salary range explanation:

The base salary range represents an average range for this position. Actual offers to be determined based on the candidate’s qualifications, skills, experience and education. See job details for salary range and bonus type.

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®., 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