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Data Transformation Jobs (NOW HIRING)

Our client is seeking Data Analysts with strong experience across Azure Data Lake modeling and SAP S/4HANA data environments to support enterprise data transformation, modeling, and reporting ...

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Data Transformation information

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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.
Senior Manager, Supply Management Data Transformation

Senior Manager, Supply Management Data Transformation

Sodexo

Whitestown, IN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Sodexo rating

6.4

Company rating: 6.4 out of 10

Based on 1,124 frontline employees who took The Breakroom Quiz

312th of 449 rated business services


Job description

Role Overview

Sodexo is currently seeking a Senior Manager, Supply Management Data Transformation. This role is responsible for driving the execution and operational readiness of product and supply data processes, including product specification, trade item, and supplied article mapping. This role translates enterprise transformation strategies into actionable plans by developing mapping frameworks, capacity models, and exception management processes to ensure timely and accurate data readiness.

As the primary execution lead, the position proactively manages dependencies, data quality, and backlog risks to support critical transformation initiatives. The role ensures that master data is fully prepared to enable downstream system functionality, sourcing decisions, and operational performance. Working cross-functionally with teams across MDM, Supply Management, Culinary, Technology, and Transformation, the Senior Manager bridges the gap between data completeness and real-world operational execution to ensure successful program delivery.

What You'll Do
  • Lead execution of product and supply data transformation initiatives, ensuring operational readiness across product specification, trade item, and supplied article (PI-MI-SI) mapping
  • Translate enterprise transformation strategies (e.g., TOM, ERP, RevUp) into actionable execution plans, including mapping frameworks, capacity models, and delivery timelines
  • Oversee end-to-end data mapping processes, ensuring accuracy, completeness, and alignment with business and system requirements
  • Proactively manage dependencies, risks, and backlog to prevent delays and ensure adherence to program milestones
  • Establish and maintain data quality standards, validation processes, and exception management workflows to address inconsistencies and gaps
  • Partner cross-functionally with Master Data Management (MDM), Supply Management, Culinary, Technology, and Transformation teams to ensure alignment and seamless execution
  • Drive operational readiness by ensuring master data supports downstream system functionality, sourcing strategies, and supply chain operations
  • Monitor and report on progress, capacity utilization, and key performance indicators, providing visibility into program health and risks
  • Lead issue resolution and decision-making processes related to data constraints, system dependencies, and operational impacts
  • Develop and implement scalable processes, tools, and governance models to support ongoing data transformation efforts
  • Ensure compliance with business rules, data governance standards, and internal controls across all mapping and data processes
  • Act as a subject matter expert and primary escalation point for data transformation execution challenges
What We Offer

Compensation is fair and equitable, partially determined by a candidate's education level or years of relevant experience. Salary offers are based on a candidate's specific criteria, like experience, skills, education, and training. Sodexo offers a comprehensive benefits package that may include:

  • Medical, Dental, Vision Care and Wellness Programs
  • 401(k) Plan with Matching Contributions
  • Paid Time Off and Company Holidays
  • Career Growth Opportunities and Tuition Reimbursement

More extensive information is provided to new employees upon hire.

What You Bring
  • Bachelor's degree or equivalent work experience
  • Proven program/project management and execution skills
  • Ability to manage cross-functional stakeholders and dependencies
  • Strong analytical, problem-solving, and communication skills
Who We Are

At Sodexo, our purpose is to create a better everyday for everyone and build a better life for all. We believe in improving the quality of life for those we serve and contributing to the economic, social, and environmental progress in the communities where we operate. Sodexo partners with clients to provide a truly memorable experience for both customers and employees alike. We do this by providing food service, catering, facilities management, and other integrated solutions worldwide.

Our company values you for you; you will be treated fairly and with respect, and you can be yourself. You will have your ideas count and your opinions heard because we can be a stronger team when you're happy at work. This is why we embrace diversity and inclusion as core values, fostering an environment where all employees are valued and respected. We are committed to providing equal employment opportunities to individuals regardless of race, color, religion, national origin, age, sex, gender identity, pregnancy, disability, sexual orientation, military status, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. If you need assistance with the application process, please complete this form.

Qualifications & Requirements

Minimum Education Requirement - Bachelor's Degree or equivalent experience

Minumum Management Experience - 5 years

Minimum Functional Experience - 5 years 

Employment Type: FULL_TIME

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