Sr. Director, Enterprise Data Platform, Integration & Architecture

Overview

We are designing the grid of the future!

Sr. Director, Enterprise Data Platform, Integration & Architecture will lead the strategy, buildout, and operation of EPE’s enterprise data ecosystem and related integration/platform services. This role will establish the modern data foundation needed to support trusted analytics, enterprise automation, approved AI use cases, and AI/ agentic systems.

Reporting to the CIO, this leader will translate enterprise priorities into a multi-year data, integration, governance, and AI‑ready platform enablement roadmap. The role will partner across business and technology teams to ensure data is treated as a reliable internal product — secure, governed, scalable, observable, well‑documented, and accessible through reusable patterns — aligned to measurable business outcomes.

This leader will build, lead, and coordinate a scalable global team and partner ecosystem across data engineering, data governance, integration, and platform services. This role will collaborate with business, engineering, software, and AI delivery teams to enable AI transformation by providing the governed data, system, and software‑tool capabilities required for agentic workflows, while ensuring those capabilities are secure, reusable, observable, and sustainable.

Howyou can make an impact:

Enterprise Data Platform & Architecture

• Lead the design, implementation, and operation of EPE’s enterprise data platform, including modern data lake/lakehouse capabilities.
• Define scalable data architecture patterns that support operational reporting, financial visibility, analytics, AI/ML, and GenAI use cases.
• Establish curated data layers, canonical data models, and reusable data domains across the enterprise.
• Ensure platform architecture aligns with enterprise standards for scalability, security, performance, and long‑term maintainability.

Data Engineering & Integration

• Build and govern reliable data pipelines, integration patterns, and data services across enterprise systems.
• Partner with business applications, analytics, infrastructure, and security teams to ensure data flows are accurate, timely, and resilient.
• Support the integration of enterprise platforms into EPE’s broader data architecture.
• Partner with software and engineering teams to expose specialized engineering systems, modeling/simulation tools, and related data assets through secure, documented, versioned, and observable service interfaces for approved downstream consumers.
• Manage the data and integration backlog, prioritizing work based on business value, risk, and strategic alignment.

Data Governance, Quality & Stewardship

• Establish and mature EPE’s enterprise data governance framework.
• Define standards for data quality, metadata, lineage, classification, access controls, and observability.
• Partner with business leaders to define data ownership, stewardship responsibilities, and accountability across key data domains.
• Lead governance forums that drive alignment, adoption, and trusted use of enterprise data.

Responsible Platform Enablement for AI Systems

• Ensure EPE’s data ecosystem is prepared to support AI platforms, GenAI use cases, AI agents, and advanced analytics.
• Partner with business, engineering, software, and AI delivery teams to enable prioritized AI opportunities by delivering the required data products, integration services, access patterns, and platform capabilities.
• Establish responsible data access and AI practices, including governance for sensitive data, model inputs, and ethical use.
• Ensure AI‑related data capabilities are secure, scalable, and aligned with enterprise architecture and software development practices.

Platform Operations, Security & Reliability

• Operate data and integration platforms with a focus on reliability, performance, monitoring, and incident response.
• Provide visibility into platform health, delivery progress, risks, costs, and tradeoffs.
• Ensure data platforms and services meet enterprise standards for access control, encryption, privacy, compliance, and security.
• Partner with Cybersecurity, Legal, HR, and Compliance on incidents involving data misuse, breaches, or policy violations.

Leadership,…