Director, Enterprise Data Architecture & Readiness

Phillips Edison & Company; Cincinnati (OH); On-site; USD 180,000 - 280,000; Full time

Job summary

Phillips Edison & Company is seeking a Director of Enterprise Data Architecture & Readiness to lead the strategy and operating model that makes company data more connected, governed, and decision-ready. The role focuses on defining standards, improving data quality, and partnering with business and technology leaders to drive enterprise priorities.

The position requires defining the enterprise data architecture vision, roadmaps, and governance practices, while scaling data products and

Qualifications

• 10+ years of progressive experience in data architecture, enterprise data management, governance, analytics, or related disciplines.
• Experience defining data architecture roadmaps, standards, operating models, and governance practices.
• Experience with modern data platforms, cloud or hybrid architectures, integration, metadata, lineage, and data quality.

Responsibilities

• Define and maintain enterprise data architecture standards, patterns, and reference models.
• Guide data model, master data, metadata, lineage, integration, and platform decisions.
• Build a practical data readiness roadmap tied to business priorities and decision needs.
• Embed privacy, access, retention, classification, and control requirements into data design.

Skills

Data architecture

Enterprise data management

Data governance

Strategic leadership

Executive communication

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

• 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

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