Director, Enterprise Data Architecture & Readiness

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
• Scales 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, 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