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Data Transformation Jobs (NOW HIRING)

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 ...

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 ...

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 ...

About the Role The People Data Transformation Analyst will be responsible for preparing and transforming workforce/people data to support HR processes and technology improvements. As a critical ...

About the Role The People Data Transformation Analyst will be responsible for preparing and transforming workforce/people data to support HR processes and technology improvements. As a critical ...

Regulatory Data Transformation PM

New York, NY · On-site

$56.50 - $76.50/hr

Regulatory Data Transformation PM Location is New York, NY. this is onsite job from day 1. We are looking for a qualified Project Manager to support either of the following two areas: a) use case ...

About the job As an Data Transformation Lead, you are a trusted advisor to large customers and agencies, using data-driven insights to solve clients' growth issues and achieve their business goals.

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Data Transformation information

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$46K

$165K

$243.5K

How much do data transformation jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data transformation in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Transformation job?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in the Data Transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are the typical daily responsibilities of someone in a Data Transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.
What cities are hiring for Data Transformation jobs? Cities with the most Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
What states have the most Data Transformation jobs? States with the most job openings for Data Transformation jobs include:
Infographic showing various Data Transformation job openings in the United States as of May 2026, with employment types broken down into 42% Full Time, 57% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Transformation Lead

Other

Posted 17 days ago


Job description

Req ID: 77700 

Location: Tulsa -TUL 

Areas of Interest: Enterprise Data 

Pay Transparency Salary Range: Not Available 

Application Deadline: 07/31/2026

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.

Bonus Type
Discretionary
Summary

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.

Job Description

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 value. In addition, this role supports the Chief Data & Analytics Officer, coordinating priorities, preparing executive materials, and ensuring alignment across all data and analytics efforts.

Team Culture

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.

How You'll Spend Your Time
  • 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.
Education & Experience Requirements

This level of knowledge is normally acquired through completion of Bachelor's or Master's 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.
Advertising Source
SF-IND

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.Â