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Director Enterprise Data Management Jobs (NOW HIRING)

As the Director, Enterprise Data, you'll set the technical direction for the team, architect the data platform, own the AI strategy, and mentor engineers while ensuring compliance with security ...

Director, Enterprise Data

El Segundo, CA · On-site

$208K - $284K/yr

We are hiring a Director, Enterprise Data to own this team and its mission: to make operational data an asset the entire business can reach, and to build the software that helps every team at Radiant ...

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

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

As Director of Enterprise Data Governance, you will be the architect of how Toast thinks about ... Assess current data management maturity using a recognized framework (DAMA DMBOK, DCAM, or ...

... As Director, Data Architecture , you will define and lead the enterprise data strategy ... Champion data governance, metadata management, data quality, lineage, and stewardship across the ...

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Director Enterprise Data Management information

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$54K

$154.9K

$244K

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

As of Jul 29, 2026, the average yearly pay for director enterprise data management in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What does a Director of Enterprise Data Management do?

A Director of Enterprise Data Management is responsible for overseeing the strategy, governance, and operations of an organization’s data assets. This role ensures that data across the business is accurate, secure, and accessible to support decision-making and compliance. The director works closely with IT, business units, and executives to define data policies, manage data quality, and implement data management technologies. They also lead teams that develop data standards and drive initiatives to maximize the value of data within the organization.

What is the difference between Director Enterprise Data Management vs Data Governance Manager?

AspectDirector Enterprise Data ManagementData Governance Manager
ResponsibilitiesOversees enterprise-wide data strategies, architecture, and data management programsFocuses on establishing and maintaining data policies, standards, and compliance
Required CredentialsTypically requires a bachelor’s or master’s in data management, IT, or related fields; certifications like CDMP are commonOften requires similar credentials; certifications like CDMP or DGMP are advantageous
Work EnvironmentWorks across departments, managing data teams and strategic initiativesCollaborates with data stewards and compliance teams to enforce data policies
Industry UsageCommon in large organizations with complex data needsUsed in organizations emphasizing data quality and compliance

The main difference is that the Director Enterprise Data Management leads overall data strategies and architecture, while the Data Governance Manager focuses on implementing data policies and ensuring data quality and compliance within the organization.

What are some common challenges faced by a Director of Enterprise Data Management, and how can they be addressed?

A Director of Enterprise Data Management often encounters challenges such as ensuring data quality across disparate systems, achieving stakeholder alignment on data governance policies, and managing data security and compliance requirements. Addressing these challenges typically involves establishing clear data standards, fostering cross-departmental collaboration, and investing in robust data management tools. Regular communication with executive leadership and ongoing staff training are also essential to maintain data integrity and support organizational goals.

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

To thrive as a Director of Enterprise Data Management, you need expertise in data governance, data architecture, and analytics, typically supported by a bachelor’s or master’s degree in computer science or a related field. Familiarity with tools such as SQL, data warehousing platforms, data integration software, and relevant certifications like CDMP (Certified Data Management Professional) are often required. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning data initiatives with business goals. These skills ensure the organization's data assets are secure, reliable, and leveraged to drive informed decision-making and competitive advantage.
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What cities are hiring for Director Enterprise Data Management jobs? Cities with the most Director Enterprise Data Management job openings:
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Infographic showing various Director Enterprise Data Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Director, Enterprise Data Architecture & Readiness

Phillipsedison

Cincinnati, OH

Full-time

Posted 12 hours ago


Job description

The Director, Enterprise Data Architecture & Readiness will lead the enterprise data foundation that supports trusted analytics, responsible AI, automation, and faster business decision-making. This role will set the strategy, standards, and operating model needed to make company data more connected, governed, accessible, and decision ready.

Strategic Focus:

The Director will lead PECO's data architecture and readiness agenda by:

  • Defining the enterprise data architecture vision, roadmap, and standards

  • Improving data quality, ownership, lineage, integration, and usability

  • Partnering with business and technology leaders to align data work to enterprise priorities

  • Scaling governance and data products that accelerate value while reducing risk and rework

Key Responsibilities:

Enterprise Data Architecture

  • Define and maintain enterprise data architecture standards, patterns, and reference models.

  • Guide data model, master data, metadata, lineage, integration, and platform decisions.

  • Ensure architecture supports analytics, AI, automation, security, and scalability.

Data Readiness & Stewardship

  • Build a practical data readiness roadmap tied to business priorities and decision needs.

  • Clarify data ownership, definitions, quality expectations, and stewardship routines.

  • Establish repeatable readiness measures for accuracy, completeness, timeliness, lineage, access, and control.

  • Use metrics and issue trends to communicate progress, risks, and decisions to senior leaders.

Governance, Risk & Compliance

  • Partner with Legal, Compliance, Security, IT, and business leaders to ensure data practices are secure, compliant, and auditable.

  • Embed privacy, access, retention, classification, and control requirements into data design.

  • Promote responsible data and AI practices that are transparent, controlled, and fit for purpose.

Cross-Functional Leadership

  • Serve as the senior data partner to business, IT, analytics, legal, compliance, security, and risk leaders.

  • Establish roles, decision rights, governance forums, intake processes, and prioritization practices.

  • Translate technical complexity into clear business choices and executive-ready recommendations.

  • Lead change efforts that build data literacy, accountability, and adoption across the organization.

Experience:

  • 10+ years of progressive experience in data architecture, enterprise data management, governance, analytics, or related disciplines.

  • Demonstrated success defining data architecture roadmaps, standards, operating models, and governance practices.

  • Experience with modern data platforms, cloud or hybrid architectures, integration, master data, metadata, lineage, and data quality.

  • Experience enabling AI, automation, advanced analytics, or decision intelligence capabilities preferred.

Leadership Capabilities

  • Enterprise leadership mindset with the ability to move from strategy to execution.

  • Ability to influence senior leaders across business, technology, legal, compliance, and risk.

  • Strong communication skills, executive presence, and comfort operating through ambiguity.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities


This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.