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Data Transformation Jobs (NOW HIRING)

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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 Jul 14, 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 the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Science, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and relevant certifications.

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 is the role of data transformation?

The role of data transformation in data transformation jobs involves converting data from its original format into a suitable format for analysis, storage, or processing. This process includes tasks like cleaning, normalizing, and structuring data using tools such as ETL (Extract, Transform, Load) processes and scripting languages. Data transformation ensures data quality and consistency for effective decision-making and reporting.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI tools currently cannot replicate. Skills in data visualization, statistical analysis, and understanding business context remain critical in this field.

Is 40 too late for data science?

Data transformation roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Learning relevant tools like SQL, Python, and data visualization, along with building a portfolio, can help late entrants succeed regardless of age.

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.

More about Data Transformation jobs
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 July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Transformation & Strategy Lead- Vice President

Koitecc Solutions

Manhattan, NY • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

We are looking for a dynamic and motivated individual to join our Party Reference Data Change Management Team as a VP - Data Transformation Lead. In this exciting role, you will take the lead on projects that support strategic and business change initiatives aligned with our Reference Data Strategy. If you are passionate about driving operational efficiency through innovative operating model design, data architecture, and advanced technology, this is a fantastic opportunity for you to showcase your expertise in transforming processes and enhancing overall performance.

As the Data Transformation Lead- Vice President within Client Account Services, you will own a cross‑functional transformation agenda that advances the firm‑wide Reference Data strategy. You will lead a global team to redesign operating models, uplift data quality and controls, and streamline end‑to‑end party creation and maintenance processes that underpin Client Onboarding, KYC, and regulatory reporting. Partnering closely with Party Reference Data leadership, Reference Data Strategy, Technology, and business stakeholders, you will deliver measurable improvements in client experience, operational efficiency, and control outcomes.

Job Responsibilities
  • Build and lead a high‑performing global team; recruit, develop, and retain talent; manage capacity and performance plans.
  • Own end‑to‑end program delivery with integrated plans, milestones, dependencies, and KPIs aligned to business objectives and measurable benefits.
  • Define and socialize the target operating model for party/client reference data, including roles and responsibilities (RACI), handoffs, controls, and SLAs; ensure alignment with data governance standards and regulatory expectations.
  • Assess current‑state processes end to end; design and implement future‑state operating models that reduce cycle time, manual touchpoints, and rework while improving data quality.
  • Produce executive‑ready materials in PowerPoint, backed by rigorous analysis in Excel and collaboration in SharePoint; synthesize complex topics into clear insights, options, and recommendations for leadership and working teams.
  • Orchestrate cross‑functional execution across business, operations, technology, risk, and compliance; establish governance and decision forums and a communication cadence that keeps stakeholders informed, aligned, and accountable.
  • Identify and deliver operational synergies with Client Onboarding, KYC, Document Management, and Tax; eliminate redundancies and manual processes.
  • Manage stakeholder relationships across Business and Operations; align on priorities, success metrics, risks, and dependencies; communicate status and decisions to senior leadership.
  • Partner with Reference Data Strategy, Program/Project Management, and Technology to implement future‑state data models and domains and to operationalize the target operating model within the Utility.
  • Translate client experience goals into concrete party reference data improvements and contribute to firm‑wide transformation initiatives.
  • Facilitate analysis workshops and working groups; prepare materials; document decisions; and maintain artifacts such as process maps, RACI matrices, procedures, and control designs.
Required qualifications, capabilities, and skills
  • Seasoned with roughly five years' experience in data management, process management, business process reengineering, and related transformation roles within large, complex organizations.
  • Visual, with strong concept visualization skills spanning process, data, and decision modeling.
  • Proven in program, project, and change management, leading multi‑stakeholder initiatives from discovery through adoption and stabilization.
  • Hands‑on in defining and implementing business and operational processes.
  • Excellent in written and verbal communication, crafting clear policies, procedures, executive updates, and leadership‑ready narratives.
  • Exceptional in problem‑solving and analytics, with high attention to detail and data‑driven decision‑making.
  • Self‑directed and highly motivated, operating autonomously while driving alignment across teams, functions, and time zones.
  • Expert in developing deep subject‑matter knowledge in party reference data and simplifying complex topics.
  • Organized with strong time‑management, effectively prioritizing across multiple workstreams.
  • Technically fluent in Excel, PowerPoint, and SharePoint; familiar with workflow/process tools and data governance/quality platforms, with a reminder to verify any third‑party solutions are approved for use at JPMorgan Chase before implementation.
  • Domain‑aware across party reference data, client onboarding, KYC, document management, and tax data requirements, with regulatory familiarity including MiFID, EMIR, CCPA, and NCMR.
Preferred qualifications, capabilities, and skills
  • Experienced in financial services.
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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