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Enterprise Data Management Jobs (NOW HIRING)

Cybercoders

Enterprise Data Manager

Pittsburgh, PA · On-site

Own ERP data management activities, including SAP S/4HANA data models, master data management, and extraction/transformation workflows for ERP-to-analytics integration. * Plan and deliver complex ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

Establish enterprise standards (approach, tooling, workflow) for data modeling, metadata management, lineage, reference architecture, semantic layers, integration patterns, and data lifecycle ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

Establish enterprise standards (approach, tooling, workflow) for data modeling, metadata management, lineage, reference architecture, semantic layers, integration patterns, and data lifecycle ...

Wilsonart

Enterprise Data Architect

Temple, TX · On-site

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 ...

Resideo

Lead Enterprise Data Architect

Saint Louis, MO · On-site

Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management ...

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 ...

Resideo

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 ...

Resideo

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 ...

Resideo

Lead Enterprise Data Architect

Saint Louis, MO · On-site

Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management ...

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How much do enterprise data management jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for enterprise data management in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

What is an Enterprise Data Management job?

An Enterprise Data Management (EDM) job focuses on organizing, governing, and optimizing an organization's data to ensure accuracy, security, and accessibility. Professionals in this role develop data policies, implement data quality standards, and manage data governance frameworks. They work closely with IT, business, and compliance teams to integrate data across various systems and improve decision-making. EDM roles are crucial for organizations that rely on data-driven strategies for efficiency and compliance.

What is an example of enterprise data management?

An example of enterprise data management involves implementing processes and tools to ensure the accuracy, consistency, and security of data across an organization. This includes activities like data governance, data quality management, and using platforms such as data warehouses or master data management systems to centralize and maintain data integrity. Data management professionals often work with database tools, data modeling, and compliance standards to support organizational decision-making.

What does enterprise data management do?

Enterprise Data Management (EDM) involves organizing, storing, and maintaining an organization's data to ensure accuracy, consistency, and security. It includes establishing data governance policies, implementing data quality standards, and using tools like data warehouses and metadata management systems to support decision-making and compliance.

What are the key skills and qualifications needed to thrive in the Enterprise Data Management position, and why are they important?

To thrive in Enterprise Data Management, you need a strong background in database management, data governance, analytics, and information architecture, often supported by a degree in computer science or information systems. Familiarity with tools like SQL, data warehousing solutions, master data management (MDM) platforms, and certifications such as CDMP (Certified Data Management Professional) are highly valued. Strong project management, problem-solving abilities, and effective communication help professionals collaborate across departments and drive data initiatives. These skills ensure data integrity, regulatory compliance, and the ability to turn data into actionable business insights.

What are the typical day-to-day responsibilities of someone working in Enterprise Data Management?

Professionals in Enterprise Data Management are responsible for developing and enforcing data standards, designing and maintaining data systems, and ensuring data quality and compliance across the organization. They often collaborate with business analysts, IT teams, and executive leadership to identify data needs, oversee large data migrations, and manage data governance frameworks. Daily tasks may include data integration, troubleshooting data issues, implementing security protocols, and preparing reports for stakeholders. This role frequently involves a mix of technical work, strategic planning, and cross-functional teamwork, making it both challenging and rewarding.

What are the career opportunities in data management?

Career opportunities in data management include roles such as Data Analyst, Data Engineer, Data Architect, Data Governance Manager, and Chief Data Officer. These positions involve working with data storage, quality, security, and analysis, often requiring skills in SQL, data modeling, and familiarity with tools like Hadoop or cloud platforms. Advancement can lead to leadership roles overseeing enterprise data strategies.

What is an enterprise data manager?

An enterprise data manager is a professional responsible for overseeing an organization's data strategy, governance, and quality. They manage data assets, implement data policies, and often work with tools like data warehouses and governance frameworks to ensure data accuracy and security across the enterprise.
More about Enterprise Data Management jobs
What cities are hiring for Enterprise Data Management jobs? Cities with the most Enterprise Data Management job openings:
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Enterprise Data Management jobs near you
Infographic showing various Enterprise Data Management job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.
Enterprise Data Manager & Architect

Enterprise Data Manager & Architect

WELLDYNE

Lakeland, FL • On-site

Full-time

Posted 29 days ago

WellDyne rating

6.0

Company rating: 6.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

At our company, we move fast, adapt quickly, and turn challenges into opportunities-all while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.
Our Vision:
Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.
Our Mission:
To be the disruptive force that drives meaningful change within pharmacy services.
Summary
The Enterprise Data Manager & Architect is responsible for defining, governing, and optimizing how WellDyne identifies, structures, secures, and manages data across transactional, operational, and analytical systems. This role focuses on data ownership, including where data resides, how it is sourced, how it flows across systems, and how it is made available for business consumption.
This leader will establish enterprise standards for data architecture, governance, metadata, lineage, access, quality, and stewardship- ensuring WellDyne's data is accurate, trusted, secured, and usable for operational and analytical needs.
Success in this role is measured by clear data sourcing frameworks, mature governance practices, adoption of enterprise data standards, improved data trust, and enabling modern capabilities such as Power BI Copilot, data lakes, and machine learning-enabled insights.
Essential Duties & Responsibilities
Data Strategy & Governance
  • Define and maintain the enterprise data sourcing strategy, documenting where data exists and how it supports transactional and reporting needs.
  • Establish and lead the Data Management Center of Excellence, including governance models, standards, and decision frameworks.
  • Create and enforce enterprise standards for data architecture, modeling, metadata, lineage, quality, MDM, and stewardship.
  • Ensure compliance with regulatory and data security requirements across systems.

Enterprise Data Architecture
  • Define enterprise data architecture and canonical data models across transactional, operational, and analytical systems.
  • Ensure alignment of integrations, data flows, and storage patterns across all platforms (cloud, on-prem, data lakes).
  • Guide modernization initiatives such as database redesigns, platform consolidation, and legacy system decommissioning.
  • Partner with cross-functional teams to ensure data is traceable, secure, well-governed, and accessible.

Data Platforms, Tooling & Frameworks
  • Define strategy and standards for data management platforms including data catalog, lineage, metadata, MDM, quality monitoring, and data lake components.
  • Oversee the creation and ongoing maintenance of a centralized metadata and report catalog to improve visibility and reduce redundancy.
  • Lead adoption of scalable cloud-native data platforms and lakehouse architectures.

Enablement, Insights & Advanced Capabilities
  • Enable business teams to self-serve insights through governed data models and Power BI Copilot/NLQ capabilities, without IT owning the reporting function.
  • Identify practical machine learning applications-such as anomaly detection, forecasting, and natural language insights.
  • Improve enterprise data literacy and promote standardized data usage across WellDyne.

Leadership & Collaboration
  • Mentor BI developers, data engineers, analysts, and other technical contributors.
  • Serve as an enterprise subject-matter expert and escalation point for data architecture and sourcing decisions.
  • Collaborate with IT and business stakeholders to ensure consistency and alignment across teams.
  • Performs additional duties as assigned.

Education & Experience
  • Bachelor's or Master's in Information Systems, Computer Science, Data Analytics, or related field.
  • 8-12 years of progressive experience in data management, architecture, or governance, including 3-5 years in a lead/architect role.
  • Experience establishing or maturing a Data Management COE or governance program.
  • Hands-on experience with data lakes, modern cloud data platforms (AWS/Azure/GCP), SQL, and ETL/ELT.
  • Experience with Power BI Copilot and enabling natural-language data access.
  • Exposure to applied machine learning preferred.
  • Professional certifications preferred (Azure/AWS Data, Power BI, DAMA, TOGAF).

Knowledge, Skills & Abilities
  • Deep expertise in data architecture, modeling, metadata, lineage, and governance frameworks (DAMA/DMBOK, DCAM, TOGAF).
  • Strong understanding of data lakes, semantic modeling, and modern integration patterns.
  • Ability to define enterprise-wide data structures and ensure adoption.
  • Excellent communication and influencing skills across technical and business audiences.
  • Strong leadership, facilitation, and mentorship capabilities.
  • Ability to simplify complex data concepts for business stakeholders.

Success Measures
  • Enterprise data strategy and sourcing framework adopted.
  • Data governance standards consistently implemented across systems.
  • Data architecture modernized and redundant or legacy structures eliminated.
  • Centralized metadata and report catalog operational and used across teams.
  • Improved trust, quality, security, and usability of data.
  • Successful enablement of Power BI Copilot/NLQ for business self-service.
  • Practical machine learning-enabled features (e.g., forecasting, anomaly detection) implemented to support operations.

Work Environment / Physical Demands
This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required.
EOE M/F/D/V - WellDyne and HealthDyne are equal opportunity employer and prohibits discrimination of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status, or any other protected status under federal, state, or local law.

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