ZipRecruiter

Log In

1

Director Enterprise Data Architecture Jobs (NOW HIRING)

Consumer Direct Care Network

$150 - $210/hr

JOB SUMMARY The Director Enterprise Data is responsible for leading the strategy, management, and ... Lead the design and implementation of data architecture and infrastructure to support the ...

Radiant

Director, Enterprise Data

El Segundo, CA · On-site

As the Director, Enterprise Data, you'll set the technical direction for the team, architect the ... Define the architecture for our data platform (Databricks, Fivetran, dbt) and AI tooling; make ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsDatabase Administrator JobsDirector Enterprise Data Architecture Jobs

Director Enterprise Data Architecture information

See salary details

$11K

$181K

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

As of Aug 28, 2026, the average yearly pay for director enterprise data architecture in the United States is $180,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $180,000.00 per year, depending on experience, location, and employer.

What does a director enterprise data architecture do?

A Director of Enterprise Data Architecture leads the design, development, and management of an organization's overall data strategy and architecture. They are responsible for ensuring that data systems are scalable, secure, and aligned with business goals. This role involves collaborating with IT and business leaders, establishing data standards, and overseeing the integration of new technologies. The director also ensures data quality, governance, and compliance with relevant regulations across the enterprise.

What are the key skills and qualifications needed to thrive as a director enterprise data architecture?

To thrive as a Director of Enterprise Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, often supported by a degree in computer science or information systems and years of experience in data architecture roles. Familiarity with data governance frameworks, cloud platforms (such as AWS, Azure, or Google Cloud), and tools like ERwin or Informatica, as well as relevant certifications (e.g., CDMP, TOGAF), is typically required. Strategic thinking, leadership, and strong communication skills help drive alignment across business and IT teams. These skills ensure the creation of scalable, secure, and efficient data architectures that support organizational goals and innovation.

What are some common challenges faced by a director enterprise data architecture when aligning data strategy across multiple business units?

A Director of Enterprise Data Architecture often encounters challenges in unifying data standards and governance across diverse business units, each with their own legacy systems and processes. Achieving buy-in for enterprise-wide data initiatives can require significant stakeholder management and communication skills, as different teams may have conflicting priorities or technical constraints. Additionally, ensuring data quality, security, and compliance while enabling flexibility for innovation is a constant balancing act. Regular collaboration with IT, business leaders, and data stewards is essential to drive consensus and implement scalable, future-proof solutions.

What is the difference between Director Enterprise Data Architecture vs Data Architect?

AspectDirector Enterprise Data ArchitectureData Architect
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often with certifications like TOGAF or CDMPBachelor's or Master's in Computer Science, Data Management, or related fields; certifications like TOGAF or CDMP are common
Work EnvironmentLeads teams, collaborates with executives, oversees data strategy across departmentsDesigns data models, develops data solutions, works closely with developers and analysts
Employer & Industry UsageUsed in large enterprises, finance, healthcare, and tech companies for strategic data leadershipFound in similar industries, focusing on technical data modeling and implementation

The main difference is that the Director Enterprise Data Architecture oversees data strategy and manages teams, while the Data Architect focuses on designing and implementing data solutions. The director role involves higher-level planning and leadership, whereas the data architect is more technical and hands-on.

More about Director Enterprise Data Architecture jobs

What cities are hiring for Director Enterprise Data Architecture jobs?

Cities with the most Director Enterprise Data Architecture job openings:

What states have the most Director Enterprise Data Architecture jobs?

States with the most job openings for Director Enterprise Data Architecture jobs include:

What job categories do people searching Director Enterprise Data Architecture jobs look for?

The top searched job categories for Director Enterprise Data Architecture jobs are:

Director Enterprise Data Architecture jobs near you
Infographic showing various Director Enterprise Data Architecture job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $180,000 per year, or $86.5 per hour.

Director, Enterprise Data Architecture & Readiness

Cincinnati, OH • On-site

Phillipsedison
See more jobs at Phillipsedisonexternal

Full-time

Re-posted 19 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.

Apply