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Data Management Supervisor Jobs (NOW HIRING)

Trimble is looking for a Office Management Supervisor to champion our office operations, site ... With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ...

Support process improvements * Assist in evaluation of alternate vendors * supervisory Responsibilities - none Required Knowledge, Skills, and Abilities * 7-10 years of Data Management experience in ...

Support process improvements * Assist in evaluation of alternate vendors * supervisory Responsibilities - none Required Knowledge, Skills, and Abilities * 7-10 years of Data Management experience in ...

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The role combines supervisory leadership, advanced case management expertise, and quality control ... data entry within HireNet Hawaiʻi and related reporting systems · Facilitate internal ...

Trimble is looking for a Office Management Supervisor to champion our office operations, site ... With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ...

Warehouse Management Supervisor At TSMC Arizona, brilliance can ignite a world of innovation and ... Monitor automated warehousing system; operate a computer to enter data, correct errors and control ...

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Data Management Supervisor information

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$31K

$97.1K

$172K

How much do data management supervisor jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data management supervisor in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a data management supervisor do?

A Data Management Supervisor oversees the collection, organization, and maintenance of data within an organization. They ensure data accuracy, security, and accessibility, while supervising a team of data management professionals. Their responsibilities often include developing data management policies, implementing data quality standards, and coordinating with other departments to support business needs. Additionally, they may provide training and support to staff on data management best practices.

What are some common challenges faced by data management supervisors, and how can they effectively address them?

Data Management Supervisors often encounter challenges like ensuring data accuracy across multiple systems, coordinating between departments with varying data needs, and maintaining compliance with evolving data regulations. To address these issues, effective communication and strong organizational skills are essential, as is staying current with industry standards and best practices. Regular training sessions for team members and implementing robust data governance policies can help mitigate errors and improve overall data quality. Collaborating closely with IT and business units also ensures smoother data integration and alignment with organizational goals.

What are the key skills and qualifications needed to thrive as a data management supervisor, and why are they important?

To thrive as a Data Management Supervisor, you need expertise in data governance, database management, and a relevant degree such as in information systems or computer science. Familiarity with data management tools like SQL, data warehousing solutions, and certifications such as Certified Data Management Professional (CDMP) are typically required. Strong leadership, attention to detail, and effective communication are critical soft skills for managing teams and ensuring data quality. These skills and qualifications are important to maintain data integrity, support business objectives, and lead teams in handling complex data environments.

What is the difference between Data Management Supervisor vs Data Analyst?

AspectData Management SupervisorData Analyst
Required CredentialsBachelor's degree in Data Management, Information Systems, or related field; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentOversees data teams, manages data quality, and ensures data governance in corporate or organizational settingsAnalyzes data sets, creates reports, and provides insights to support decision-making in various industries
Employer & Industry UsageUsed in industries with large data needs such as finance, healthcare, and techCommon across industries for data-driven roles in marketing, finance, healthcare, and more

The Data Management Supervisor focuses on overseeing data quality, governance, and team management, while the Data Analyst primarily analyzes data to generate insights. Both roles require strong data skills but differ in scope and responsibilities.

What is the role of data management supervisor?

A data management supervisor oversees the organization, accuracy, and security of data within an organization. They develop data policies, supervise data entry and quality control, and often use tools like database management systems to ensure data integrity and compliance with standards.

What states have the most Data Management Supervisor jobs?

States with the most job openings for Data Management Supervisor jobs include:

What are popular job titles related to Data Management Supervisor jobs?

For Data Management Supervisor jobs, the most frequently searched job titles are:

Manager, Master Data Management

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Chicago Public Schools (CPS) is a district on the rise, serving over 320,000 students in 500+ schools and employing over 44,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning.
The Office of Information and Technology Services (ITS) works to build the capacity of schools to use information and technology, maintain network infrastructure, security standards, and support other departments to meet district goals. ITS provides innovative technology solutions that improve the quality of education for students, reduce the administrative burden on educators, facilitate parent interaction, increase community engagement, and support CPS' mission of transparency by focusing on the ease and equity of access to information.
Job Summary:
The Manager, Master Data Management & Data/AI is responsible for establishing a comprehensive data strategy that encompasses both Master Data Management (MDM) and advanced analytics, including AI/ML initiatives. Reporting to the Executive Director of Data and Analytics, the Manager, MDM & Data AI will lead a team of MDM specialists and data analysts, collaborating with stakeholders across departments to drive data governance and support CPS's ambitious goals for student success. This is a full-time, exempt position that will be paid for time worked on a salary basis.
This position will be held accountable for the following responsibilities:
• Lead, mentor, and develop a high-performing team of MDM specialists and data scientists while defining and implementing the overall MDM vision, strategy, and roadmap for CPS, aligning it with the broader data and AI/ML strategy. Champion data governance initiatives and foster a data-driven culture across the district.
• Oversee the implementation, maintenance, and optimization of the MDM strategy, including data modeling, integration, quality management, and governance. Establish and enforce data quality standards and processes to ensure the accuracy, completeness, and consistency of master data across all systems. Additionally, evaluate, implement, and manage MDM tools and technologies to support CPS's data management needs.
• Lead and oversee the development, implementation, and deployment of advanced analytics and AI/ML models to address business challenges and enhance educational outcomes, ensuring accuracy, reliability, and ethical use.
• Identify opportunities to leverage data and AI/ML to enhance operational efficiency, personalize learning experiences, and support data-informed decision-making.
• Partner with business leaders and stakeholders across departments (e.g., academics, human resources, finance) to understand their data requirements and ensure alignment with the overall data strategy.
• Develop and deliver presentations and reports on MDM and data science initiatives, highlighting their impact and value.
• Define and implement data governance policies and procedures to ensure compliance with internal standards and external regulations (e.g., FERPA).
• Monitor and improve data quality by tracking key metrics, identifying areas for improvement, and implementing corrective actions.
• Continuously research and evaluate new MDM technologies, data science techniques, and AI/ML advancements to optimize data management and analysis processes, while staying informed about industry standards and emerging data privacy regulations.
• Other duties as assigned.
In order to be successful and achieve the above responsibilities, this position must possess the following qualifications:
Education Required:
• Bachelor's degree from an accredited college or university is preferred.
• Major in Computer Science, Information Management, Statistics, or a related field is a plus.
• Certified Information Management Professional (CIMP), Certified Data Management Professional (CDMP), or related certifications are preferred.
Experience Required:
• Minimum of five (5) years of progressive experience in data management, including the following:
• A minimum of two (2) years in a supervisory role.
• Experience in both MDM and data science/AI/ML.
• Experience successfully implementing and managing data-driven initiatives.
Knowledge, Skills, and Abilities:
• Strategic thinker with a deep understanding of MDM principles, concepts, and best practices.
• Extensive experience with data modeling, data integration, data quality management, and data governance.
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Familiarity with MDM tools and technologies (e.g., Informatica MDM, SAP MDM, IBM InfoSphere MDM).
• Proficiency in data science programming languages (e.g., Python, R) and cloud-based data platforms (e.g., Azure).
• Knowledge of data governance frameworks and data privacy regulations.
• Strong SQL skills and experience with relational databases.
• Excellent communication, interpersonal, and presentation skills.
• Strong leadership, team management, and mentorship abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Strong problem-solving, analytical, and critical thinking skills.
• Ability to build consensus and foster collaboration across diverse teams.
• Strong technical expertise in data science and AI/ML.
• Exceptional leadership skills to ensure data quality, consistency, and accessibility across the organization.
Conditions of Employment
As a condition of employment with the Chicago Public Schools (CPS), employees are required to:
• Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.
Benefits:
Health & Wellness: Your Care, Your Choice
CPS is committed to providing comprehensive health coverage to our employees and their eligible dependents. You'll have access to a variety of choices to best fit your needs:
  • Medical Plan Options
  • Pharmacy
  • Dental
  • Vision
  • Behavioral Health & EAP
  • Employee Wellness Program

Financial Security: Planning for Today and Tomorrow
We understand the importance of financial stability, which is why CPS offers strong retirement and savings options:
  • Basic Life Insurance
  • Life and Disability Insurance
  • Pension Plans
  • Supplemental Retirement Plans (403(b) and 457(b))
  • Flexible Spending Accounts (FSAs)
  • Spot Pet Insurance

Work-Life Balance: Supporting Your Personal and Professional Life
CPS values the well-being of its employees and offers competitive paid time off policies:
  • Paid Leave
  • Sick Leave
  • Vacation Days
  • Parental Leaves
  • Short-Term Disability
  • Religious Holidays
  • Leaves

Reference the Chicago Public Schools: A Comprehensive Benefits Overview or the benefits handbook for comprehensive details.