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Data Management Manager Jobs (NOW HIRING)

ADI Global

Sr Manager Data Management

Charlotte, NC · On-site

JOB DUTIES Enterprise Data Management Leadership * Own the strategy, roadmap, and execution of enterprise data management capabilities (MDM, governance, metadata/catalog, data quality, semantic ...

kgs

Data Management Specialist

Washington, DC · On-site

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

kgs

Data Management Specialist

Kansas City, MO · On-site

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

kgs

Data Management Specialist

Atlanta, GA · On-site

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

DCS Corp

Data Management Analyst

Fort Belvoir, VA

DCS is seeking a Data Management Analyst to support an Army project management office at Fort Belvoir, Virginia. This position supports a fast-paced program office with the collection, evaluation ...

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Data Management Manager information

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$31K

$97.1K

$172K

How much do data management manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data management manager 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 is the difference between Data Management Manager vs Data Analyst?

AspectData Management ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Systems, or related fields; certifications like CDMPBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentOversees data teams, manages data governance, and ensures data quality in corporate settingsAnalyzes data sets, creates reports, and provides insights primarily through data visualization tools
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and techCommon across marketing, finance, and consulting firms for data-driven decision making

The Data Management Manager focuses on overseeing data governance, quality, and strategy, while the Data Analyst primarily interprets data to generate insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a Data Management Manager, and why are they important?

To thrive as a Data Management Manager, you need expertise in data governance, data quality management, and a solid understanding of database systems, often supported by a bachelor's or master's degree in information systems or a related field. Familiarity with tools such as SQL, data warehousing platforms, data visualization software, and certifications like CDMP (Certified Data Management Professional) are highly valued. Leadership, analytical thinking, and strong communication skills are essential for effectively collaborating with stakeholders and guiding data teams. These skills ensure data integrity, compliance, and the ability to leverage data for strategic business decisions.

What does a Data Management Manager do?

A Data Management Manager oversees the collection, storage, and organization of data within an organization. They ensure data accuracy, security, and accessibility while developing policies and procedures for data management. Their role often involves leading a team, ensuring compliance with data regulations, and collaborating across departments to support business goals. Effective data management is crucial for making informed decisions and maintaining operational efficiency.

Are data managers in demand?

Data management managers are in high demand due to the increasing reliance on data-driven decision-making across industries. They are sought after for their skills in data governance, database tools, and analytics, often requiring certifications like CDMP or DAMA-DMBOK. The role offers strong job growth prospects as organizations prioritize data quality and security.

What degree do you need to be a data manager?

A data management manager typically needs a bachelor's degree in fields such as computer science, information technology, data science, or related areas. Many employers prefer candidates with a master's degree or professional certifications in data management or analytics, along with strong skills in database tools and data governance. Relevant experience and technical proficiency are also important for this role.

What are some common challenges faced by Data Management Managers, and how can they be addressed?

Data Management Managers often encounter challenges such as ensuring data quality, integrating data from multiple sources, and maintaining compliance with data privacy regulations. To address these, it's important to implement robust data governance frameworks, foster collaboration between IT and business units, and invest in ongoing staff training. Effective communication and clear documentation of data standards also help in minimizing misunderstandings and maintaining data integrity across the organization.

What is the role of a data management manager?

A data management manager oversees the organization, storage, and integrity of data within an organization. They develop data policies, ensure data quality, and implement tools like databases and data governance frameworks to support business decision-making. Strong analytical skills and knowledge of data management software are essential for this role.

What is the salary of a data manager?

The salary of a Data Management Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals in this role often require strong skills in database systems, data governance, and analytics tools, with certifications like CDMP enhancing earning potential.
What cities are hiring for Data Management Manager jobs? Cities with the most Data Management Manager job openings:
What are the most commonly searched types of Data Management jobs? The most popular types of Data Management jobs are:
What states have the most Data Management Manager jobs? States with the most job openings for Data Management Manager jobs include:
Data Management Manager jobs near you
Infographic showing various Data Management Manager job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Sr Manager Data Management

ADI Global

Charlotte, NC • On-site

Full-time

Posted 8 hours ago

Job description

Job Description
We are seeking an experienced and passionate Sr Manager, Data Management to build and own all foundational enterprise data management capabilities, spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, Context Layer engineering, and Enterprise Data Architecture. This leader combines strategic oversight with deep hands-on expertise, ensuring that data across the organization is trusted, governed, discoverable, high-quality, and ready for analytics, AI, and operational use.
This role will also own semantic layer product roadmap, tooling selection/config, model patterns, release/change process, and adoption.
JOB DUTIES
Enterprise Data Management Leadership
  • Own the strategy, roadmap, and execution of enterprise data management capabilities (MDM, governance, metadata/catalog, data quality, semantic/context layer, and enterprise data architecture standards).
  • Build and run the data management operating model (data owners/stewards, decision rights, standards) and the governance cadence that drives adoption.
  • Establish and operationalize data governance policies, standards, and stewardship models.
  • Partner with business and technology leaders to ensure alignment, adoption, and measurable value.

Enterprise Master Data Management (MDM)
  • Lead design, implementation, and ongoing operations of enterprise MDM solutions.
  • Define and implement data models, match/merge rules, survivorship logic, hierarchies, and workflows.
  • Ensure high-quality, authoritative master data for domains such as Customer, Product, Supplier, and Location.
  • Deliver at least one priority master data domain to production and scale it with measurable improvements in accuracy, completeness, and timeliness.

Data Governance & Metadata Management
  • Implement governance frameworks using platforms such as Collibra, Atlan, Informatica, Reltio, or equivalent.
  • Build, launch and scale the data catalog and business glossary, including ownership, certification, and adoption across priority teams.
  • Translate governance rules into technical controls and automated workflows.
  • Partner with Security/Privacy to align data classification, access, and retention requirements with governance workflows

Data Quality & Scorecards
  • Define enterprise data quality rules, thresholds, and monitoring processes.
  • Build automated data quality pipelines and dashboards.
  • Publish data quality scorecards and drive remediation with data owners and stewards.
  • Establish a repeatable remediation cadence with data owners and stewards to resolve root causes and improve scorecards over time.

Context Layer & Semantic Modeling
  • Own and operate the enterprise semantic layer in tooling (roadmap, patterns, releases, certification, adoption) and partner with Analytics Engineering on enablement and onboarding
  • Govern metric definitions, canonical models, and shared data entities.

Enterprise Data Architecture
  • Define and maintain enterprise data architecture standards, patterns, and reference models.
  • Ensure alignment across data platforms, integration patterns, and cloud architecture.
  • Provide architectural oversight for data ingestion, transformation, MDM, and consumption layers.

Hands-On Technical Execution
  • Ensure reliable operations of data management platforms (MDM, catalog/governance, DQ), including configuration oversight, access, and release/change management.
  • Design and implement critical workflows/integrations (APIs, lineage connectors, DQ rules) and establish reusable patterns the team can scale.
  • Lead/resolve escalations/issues across data pipelines, metadata ingestion, and governance workflows as needed
  • Act as a player/coach-personally dive in where needed while setting direction, coaching others, and unblocking delivery.

Team Leadership & Cross-Functional Collaboration
  • Lead a team of data stewards, data quality analysts, and MDM/governance engineers.
  • Drive enterprise adoption through training, communication, and change management.
  • Serve as the primary point of accountability for all data management capabilities.

YOU MUST HAVE
  • 7+ years in enterprise data management (MDM, governance, metadata/catalog, or data quality), including 3+ years leading teams and/or enterprise programs.
  • Hands-on implementation experience with at least one MDM and/or data governance platform (e.g., Reltio, Informatica MDM/P360, Collibra, Atlan, or equivalent), including configuration, workflow design, and integration patterns.
  • Strong technical foundation in data modeling, metadata/lineage concepts, data quality engineering, and semantic/metrics modeling.
  • Experience building or operating an enterprise data catalog and business glossary, and partnering with stakeholders to drive adoption.
  • Working knowledge of cloud data ecosystems (Azure, AWS, or GCP) and modern data platform patterns.
  • Strong SQL skills and solid data engineering fundamentals (pipelines, integrations, testing/monitoring).
  • Excellent communication, stakeholder management, and change leadership skills.

WE VALUE
  • Experience with enterprise data architecture frameworks (TOGAF, DAMA-DMBOK).
  • Background in operationalizing data governance programs at scale.
  • Experience with API-based integrations, workflow automation, and metadata ingestion.
  • Familiarity with analytics engineering tools (dbt, semantic layer tools, metric stores).

SUCCESS MEASURES
  • Adoption: increased usage of certified/governed data assets, definitions, and metrics across priority teams.
  • Quality: fewer recurring data quality incidents and demonstrable improvement in scorecards for critical data elements.
  • MDM delivery: successful production implementation and scaling of priority master data domain(s) with clear ownership and remediation workflows.
  • Discoverability: catalog/glossary coverage for priority datasets and improved lineage/metadata completeness.
  • Operating rhythm: effective cross-functional governance cadence (owners/stewards/engineering/analytics) that resolves issues and drives standards adoption.

#LI-FH1 #hybrid
About Us
Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions.
Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com.
At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster, "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

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