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Director Enterprise Data Management Jobs (NOW HIRING)

Radiant

Director, Enterprise Data

El Segundo, CA · On-site

$208K - $284K/yr

As the Director, Enterprise Data , you'll set the technical direction for the team-architecting the data platform, owning the AI strategy, and ensuring we make the right build-vs-buy decisions. This ...

Radiant Industries

Director, Enterprise Data

El Segundo, CA · On-site

$208K - $284K/yr

As the Director, Enterprise Data , you'll set the technical direction for the team--architecting the data platform, owning the AI strategy, and ensuring we make the right build-vs-buy decisions. This ...

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 ...

New

FGS LLC

Enterprise Data Management Architect

Suitland, MD · On-site

$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 ...

New

Yext

Director, Enterprise Data & Analytics

New York, NY · On-site

Yext is seeking a visionary and highly technical Director, Enterprise Data & Analytics to lead our ... Lead the technical management and optimization of our data ecosystem, specifically centered around ...

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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 17, 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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Director Enterprise Data Management jobs near you
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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.
Director, Enterprise Data Management & Governance

Director, Enterprise Data Management & Governance

Pluralsight LLC

Remote

Full-time

Medical, PTO

Posted 15 days ago

Job description

Job Description:
The Director, Data Management and Governance owns the company-wide standards, controls, and accountability that make Pluralsight's data trustworthy. This leader sets and enforces data governance policy across the data org (Data Engineering and Analytics Engineering), the upstream teams that produce data, and the external SaaS vendor data owners (e.g., Salesforce) the company depends on - including data contracts enforced as a gate before data is ingested. This is a hands-on, player-coach role: the right leader sets policy and grows the team, but also profiles data, writes the queries, and drafts the contracts themselves. They are also a fluent, productive user of AI in their own day-to-day work, both to accelerate the governance practice and to model the AI-augmented way of working they are asking the team to adopt.
What you'll do:
  • Set, own, and enforce company-wide data governance policy and standards spanning the data org (Data Engineering and Analytics Engineering), upstream data producers, and external SaaS vendor data owners (e.g., Salesforce) - the standards, controls, and accountability that keep data consistent and trustworthy at the source.
  • Establish and enforce data contracts as a gate before ingestion - defining producer obligations for schema, semantics, quality, and change notification.
  • Own the schema-registration and versioned change-control process.
  • Drive the principle of centralizing data transformation logic in the data org's data model layer.
  • Lead PII governance end to end - identifying, classifying, tagging, and masking sensitive data, and setting the role-based access controls (RBAC).
  • Establish data-quality standards, measurement, and monitoring - defining the metrics, making data health visible.
  • Own master data management for core enterprise entities - accounts, contacts and de-duplication, and similar - as the authoritative, reconciled source of truth.
  • Lead, develop, and grow the data governance and data quality team, setting priorities and standards while sustaining day-to-day data-quality operations without interruption.
  • Stay hands-on in the work: profile and investigate data directly, write the queries, draft and review the data contracts and policy, and take direct ownership of the hardest data-quality and data-ownership problems.
  • Use AI productively in day-to-day governance work - accelerating data-quality investigation, policy and contract drafting and review, and data profiling - and set the example for AI-augmented working across the team.

Experience you'll bring:
  • Familiarity with the modern data stack this function governs (e.g., Snowflake, dbt) and with major SaaS sources such as Salesforce, Zuora, and Workday.
  • Experience standing up PII/RBAC controls as a prerequisite for enterprise AI enablement.
  • Experience governing data across a SaaS-heavy enterprise landscape with multiple external data owners.

Requirements:
  • Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.
  • Expertise in data management and governance - data contracts, metadata management, master data management, data quality, and policy - with the ability to tie standards and controls to business value and to customer trust.
  • Demonstrated ability to set and enforce company-wide standards and negotiate data ownership across internal engineering teams, upstream data producers, and external SaaS vendor owners.
  • Experience implementing data contracts and a schema/version registry as an enforced, pre-ingestion control.
  • Current, hands-on technical depth - able to profile data, write and review SQL personally, and author and assess data contracts and schemas.
  • Demonstrated, productive use of AI in day-to-day data work - using AI tools fluently to accelerate investigation, documentation, and analysis, with the judgment to do so safely on governed data.
  • Strong grasp of PII classification, masking, and role-based access control, particularly as prerequisites for safe AI access to data.
  • Experience leading data management and governance programs in the context of larger business and digital transformations.
  • Ability to communicate standards, metrics, and trade-offs clearly to senior leaders and to technical and business teams alike.
  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:
  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.
  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.
  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.
  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.
  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:
Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.
Physical Requirements:
This role is primarily performed in an office or home office setting and involves standard computer-based work.
EEOC & Accommodations Statement:
Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.
If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.
Pay Transparency:
The annual US base salary range for this role is $167,200- $220,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.
Applications must be submitted within 90 days after the initial posting date to be considered.
Recruiting Scam Notice:
Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.
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