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.
