ZipRecruiter

Log In

1

Manager Enterprise Data Management Jobs (NOW HIRING)

Wilsonart

Enterprise Data Architect

Temple, TX

Collaborate with the Enterprise Data Manager to ensure architectural standards are implemented and ... sustained. Evaluate emerging technologies and patterns to evolve the organization's data ...

next page

Showing results 1-20

All JobsEnterprise Data Management JobsManager Enterprise Data Management Jobs

Manager Enterprise Data Management information

See salary details

$45K

$115.3K

$172.5K

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

As of Jun 14, 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 systems. They often work with data governance tools, develop data policies, and collaborate with IT and business teams to optimize data use and integrity.

What are the 4 pillars of data management?

The four pillars of data management are data quality, data governance, data architecture, and data security. These foundational elements ensure that data is accurate, consistent, protected, and effectively organized for decision-making and compliance. As a Manager of Enterprise Data Management, understanding these pillars helps in developing strategies and implementing tools to maintain data integrity across the organization.

What does enterprise data management do?

Enterprise Data Management (EDM) involves establishing policies, procedures, 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 using tools like data warehouses and management platforms.
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
Manager, Enterprise Data and Integrations

Manager, Enterprise Data and Integrations

Invenergy

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Invenergy rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Invenergy is North America's largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

The Manager, Data and Integrations is responsible for overseeing the enterprise integration program and the operational management of data pipelines, analytics platforms, and integration workflows. This role manages the technology stack spanning Azure, Databricks, Synapse, SQL Server, and Boomi, ensuring secure, reliable, and highperforming data and integration operations. The manager will develop program roadmaps, govern standards, lead crossfunctional collaboration, and ensure seamless flow of data across applications, systems, and business processes.

This role provides technical leadership, operational oversight, and strategic direction to a team of analysts and integration specialists, as well as external vendors. The Manager, Data & Integrations partners closely with business teams to understand data and analytics needs, supports data exploration, and ensures governance, compliance, and efficient operations across the enterprise data ecosystem.

ResponsibilitiesProgram Leadership & Strategy
  • Lead the enterprise application integration and data operations program, including roadmap development, governance, standards, and strategic planning.
  • Provide regular updates to IT and business leadership regarding program progress, performance, risks, and planned improvements.
  • Drive continuous improvement of integration and data platform operations through process optimization, automation, and adoption of industry best practices.
Platform & Data Pipeline Operations
  • Oversee daily operations and monitoring of data pipelines and platforms across Azure, Databricks, Synapse, SQL Server, and Boomi.
  • Ensure reliability, availability, and performance of integration workflows and data processing pipelines.
  • Direct and support root-cause analysis of operational issues and establish preventative practices, alerts, and dashboards.
  • Manage system configuration, access provisioning, workspace/environment administration, and routine platform health checks.
Integration Management
  • Lead and supervise the design, development, deployment, and maintenance of application integrations using Boomi and other integration technologies.
  • Ensure integrations are properly cataloged, documented, secure, and aligned with enterprise architecture principles.
  • Improve support processes by reducing escalations through standard resolutions, documentation, and knowledge transfer to the IT Service Desk.
  • Oversee QA, UAT, and regression testing for all new or enhanced integrations.
Data Governance, Quality & Compliance
  • Contribute to enterprise data governance practices, including metadata management, lineage documentation, and catalog upkeep.
  • Ensure integrations and data pipelines adhere to governance, security, and compliance requirements.
  • Support data quality practices by identifying data anomalies, coordinating remediation efforts, and implementing automated validation checks.
CrossFunctional Partnership & Business Enablement
  • Collaborate with business teams to understand analytics and reporting needs, supporting data exploration and enabling self-service usage of enterprise data.
  • Partner with application teams, enterprise architecture, and functional IT groups to ensure integrations align with application roadmaps and business priorities.
  • Communicate change management plans, ensuring integration owners are informed and changes are tested and validated before deployment.
Team Leadership & Vendor Management
  • Manage a team of system analysts, data operations specialists, and thirdparty vendors responsible for integrations and data platform operations.
  • Provide coaching, development, and guidance on integration patterns, data engineering best practices, and operational excellence.
  • Oversee vendor coordination for integration support, new capability delivery, and escalation resolution.
Operational Administration
  • Maintain operational tasks including cost center updates, distribution list management, access reviews, and platform usage monitoring.
  • Develop metrics, dashboards, and weekly status reports to communicate operational performance and guide decision making.
  • Maintain shared repositories of system documentation, SOPs, architecture diagrams, training materials, and support guides.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 2+ years managing integration programs and technical teams.
  • 5+ years of experience working with modern integration platforms (Boomi, Azure Integration Services, MuleSoft).
  • 5+ years of experience working with modern data platforms (Databricks, Azure Data Factory, FiveTran).
  • 7+ years designing and implementing integration solutions (REST, SOAP, APIs, file-based integrations).
  • Hands-on experience managing Azure, SQL Server, Azure SQL, Databricks, or Synapse environments.
  • Experience supporting or implementing integrations with SaaS platforms such as Oracle Cloud, Workday, Hexagon EAM, etc.
  • Strong understanding of data flows, business processes, and technical interfaces.
  • Knowledge of common protocols and formats: XML, JSON, REST, SOAP, JDBC/ODBC, SFTP, PGP encryption.
  • Strong communication, organizational, and stakeholder management skills.
  • Ability to manage project delivery and multiple changing priorities.
  • Eligible to work in the United States without the need for employer sponsorship.
Preferred Qualifications
  • PMP or similar project management certification.
  • Handson experience with Boomi AtomSphere administration and monitoring.
  • Familiarity with Python, JavaScript, or NodeJS.
  • Experience with Power BI or other analytics/data visualization tools.
  • Experience with advanced Excel for data validation and manipulation.
  • Understanding of Azure Fabric, Unity Catalog, or modern data governance tools.

#LI-ONSITE

Base Pay

139,000.00 - 165,000.00 USD Annual
Bonus: 25% - 40%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

Apply