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Manager Enterprise Data Management Jobs (NOW HIRING)

BravoTech

Data Management Manager

Dallas, TX · On-site

Data Management Manager - Enterprise Platforms Location: Dallas, TX (Onsite/Hybrid) Job Type: 6-Month Contract (Potential Extension/Conversion) About the Role: We're seeking a strategic and hands-on ...

FGS LLC

Enterprise Data Management Architect

Suitland, MD · Hybrid

$170K - $180K/yr

Design and implement enterprise data management strategies supporting structured, unstructured, and semi-structured data across multiple platforms and security domains. * Develop enterprise data ...

Genius Road, LLC

Manager, Data Management

Dallas, TX · On-site

Strong experience managing enterprise database platforms supporting operational and analytical environments * Proven experience implementing Master Data Management (MDM) programs and enterprise data ...

BravoTech

Data Management Manager

Dallas, TX · On-site

Data Management Manager Location: Dallas, TX Duration: 6+ Month Contract About the Role We are ... Lead enterprise data modernization programs, including migration from legacy platforms to cloud ...

Peraton

Data Manager

Bethesda, MD

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

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$45K

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How much do manager enterprise data management jobs pay per year?

As of Aug 2, 2026, the average yearly pay for manager enterprise data management in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

How does a Manager of Enterprise Data Management typically collaborate with other departments to ensure data quality and consistency across the organization?

A Manager of Enterprise Data Management works closely with various departments such as IT, business analytics, compliance, and operations to establish data governance frameworks and standardize data practices. They facilitate cross-functional meetings to align on data definitions, quality standards, and data stewardship responsibilities. This collaboration ensures that data is accurate, accessible, and secure, supporting organizational decision-making and regulatory compliance. Regular communication and training sessions are key to maintaining consistency and fostering a data-driven culture across teams.

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

To thrive as a Manager Enterprise Data Management, you need a deep understanding of data governance, data architecture, and analytics, typically backed by a relevant degree and experience in information management. Familiarity with tools like SQL, data warehousing platforms, ETL systems, and certifications such as CDMP (Certified Data Management Professional) are commonly required. Strong leadership, strategic thinking, and excellent communication skills help drive cross-functional collaboration and align data initiatives with business goals. These capabilities are essential for ensuring data quality, compliance, and effective use of enterprise data assets to support organizational success.

What is the difference between Manager Enterprise Data Management vs Data Analyst?

AspectManager Enterprise Data ManagementData Analyst
Primary FocusOversees enterprise-wide data strategies, governance, and management policiesAnalyzes data sets to generate insights and support decision-making
Required SkillsData governance, leadership, project management, database knowledgeData analysis, visualization, statistical skills, SQL proficiency
CertificationsCDMP, DAMA, or related certifications often preferredCertified Analytics Professional (CAP), Microsoft Data Analyst Associate
Work EnvironmentEnterprise IT teams, data management departmentsBusiness units, analytics teams, data science departments

The Manager Enterprise Data Management focuses on establishing data policies and managing data assets across the organization, while Data Analysts primarily interpret data to provide actionable insights. Both roles require strong data skills, but their responsibilities and scope differ significantly.

What is an enterprise data manager?

An enterprise data manager is a professional responsible for overseeing an organization's data management strategy, ensuring data quality, security, and compliance across various departments. They often work with data governance tools, develop data policies, and collaborate with IT teams to optimize data usage and integration. Strong analytical skills and knowledge of data management frameworks are essential for this role.

What are the 5 pillars of data management?

The five pillars of data management are data quality, data governance, data architecture, data security, and data integration. For a Manager of Enterprise Data Management, understanding these pillars is essential to ensure data is accurate, consistent, secure, and effectively utilized across the organization. Mastery of these areas supports compliance, decision-making, and overall data strategy.

What does enterprise data management do?

Enterprise Data Management (EDM) involves establishing policies, processes, and tools to ensure the accuracy, consistency, security, and availability of an organization’s data across all departments. It includes data governance, data quality, data integration, and metadata management to support decision-making and compliance. Professionals in this field often work with data management platforms and require strong analytical and technical skills.

What does a Manager of Enterprise Data Management do?

A Manager of Enterprise Data Management oversees the organization’s data strategy, ensuring data is accurate, secure, and accessible across departments. They are responsible for implementing data governance policies, managing data architecture, and leading teams that handle data integration, quality, and analytics. This role is crucial for making informed business decisions and maintaining compliance with data regulations. Additionally, they collaborate with IT and business leaders to align data initiatives with organizational goals.

What is the role of a data management manager?

A data management manager oversees the organization, quality, and security of an enterprise's data assets. They develop data policies, ensure compliance with data governance standards, and collaborate with IT and business teams to optimize data usage and integrity, often utilizing tools like data management software and requiring strong analytical and leadership skills.
What cities are hiring for Manager Enterprise Data Management jobs? Cities with the most Manager Enterprise Data Management job openings:
What are the most commonly searched types of Enterprise Data Management jobs? The most popular types of Enterprise Data Management jobs are:
What states have the most Manager Enterprise Data Management jobs? States with the most job openings for Manager Enterprise Data Management jobs include:
Manager Enterprise Data Management jobs near you

Data Management Manager

BravoTech

Dallas, TX • On-site

Contractor

Re-posted 7 days ago

Job description


Data Management Manager - Enterprise Platforms
Location: Dallas, TX (Onsite/Hybrid)
Job Type: 6-Month Contract (Potential Extension/Conversion)
About the Role:
We're seeking a strategic and hands-on Data Management Manager to lead enterprise data initiatives across operational, historical, and next-generation data platforms. You'll oversee data architecture, governance, and modernization efforts, while driving the transition to scalable, cloud-based data solutions. This is a high-impact leadership role focused on building strong teams, improving data quality, and enabling data-driven decision-making.
Key Responsibilities:
  • Lead and mentor cross-functional teams (Data Architects, Analysts, DBAs, PMs)
  • Drive data governance, quality, and master data management initiatives
  • Establish data architecture standards, policies, and best practices
  • Partner with engineering and leadership on data platform transformation
  • Oversee migration to modern data platforms (Data Lake/Lakehouse)
  • Ensure compliance, data security, and regulatory standards
  • Manage delivery timelines, risks, and multiple concurrent initiatives

Required Qualifications:
  • 10+ years in data management, data architecture, or data governance
  • 7+ years leading cross-functional data teams
  • Strong experience managing enterprise database platforms
  • Proven success in Master Data Management (MDM) programs
  • Experience driving data governance and quality frameworks
  • Ability to manage high-volume, fast-paced environments
  • Strong leadership, communication, and stakeholder management skills

Preferred Qualifications
  • Experience with Data Lake / Lakehouse architectures
  • Exposure to cloud platforms (AWS, Azure, GCP)
  • Experience in data platform transformation or modernization
  • Background working with enterprise-scale data ecosystems

Why Join Us?
  • Lead impactful enterprise data transformation initiatives
  • Work with modern data platforms and cloud technologies
  • High-visibility role with leadership growth opportunities
  • Potential for long-term engagement or full-time conversion

Apply Today!
If you're a data leader passionate about building scalable platforms and driving data excellence, apply now and take the next step in your career!
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Khalid Vaani

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