Manager Information Technology; M3 - Data Foundations

Job Description

Puget Sound Energy is looking to grow our community with top talented individuals like you! With our rapidly growing, award winning energy efficiency programs, our pathway to an exciting and innovative future is now.

PSE's Data & AI team is looking for qualified candidates to fill an open Manager Information Technology (M3) - Data Foundations position!

Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process.

The Manager, Enterprise Data Foundations leads managers and senior technical professionals across data engineering, data platform, data architecture, data governance, data quality, and data operations. This position is accountable for the end-to-end data foundation-from source ingestion and orchestration through governed, production-ready data products and services. The position owns the strategy, operating model, roadmap, and operational performance of PSE's enterprise data foundation capabilities, including the Unified Data Platform, lakehouse and data warehouse services, data integration and orchestration, APIs, metadata and lineage, data quality and observability, data lifecycle management, and secure data access.

This leader works across business, IT, and operational technology organizations to ensure that trusted data supports operational decision-making, regulatory reporting, analytics, artificial intelligence, customer outcomes, and grid reliability. Success will be measured through platform reliability, faster data onboarding, improved quality and lineage, increased reuse of governed data products, reduced duplication and technical debt, and measurable business value.

This job is considered "safety sensitive" as defined in RCW 49.44.240 and is subject to pre-employment drug screening that includes screening for the presence of marijuana and marijuana metabolites.

• Has overall direction and accountability for PSE's enterprise Data Foundations capabilities, including data engineering, data platform, data architecture, data governance, metadata and lineage, data quality and observability, data integration and orchestration, API enablement, and data lifecycle management.
• Owns and executes the multi-year Data Foundations strategy, roadmap, operating model, and investment plan in alignment with PSE's Data & AI strategy, enterprise architecture, and business priorities.
• Directs teams through subordinate managers and senior individual contributors. Establishes clear accountabilities, operating rhythms, development plans, performance expectations, and succession plans.
• Responsible for the end-to-end design, development, delivery, maintenance, reliability, security, performance, capacity, and cost management of PSE's Unified Data Platform and supporting hybrid-cloud data services.
• Establishes and enforces enterprise architecture patterns, engineering standards, data contracts, naming conventions, reusable components, quality thresholds, and security controls for data ingestion, storage, transformation, access, sharing, archival, and retirement.
• Leads enterprise data ingestion and orchestration capabilities supporting batch, micro-batch, near-real-time, and streaming data. Establishes governed API and event-driven patterns for data access and integration.
• Leads enterprise data governance and catalog capabilities, including data ownership and stewardship, metadata, lineage, classification, critical data elements, data quality, access controls, retention, and approved internal and external data sharing.
• Partners with Information Security, Privacy, Records, Risk, Compliance, Enterprise Architecture, IT Operations, Applications, Integration, and business and operational technology teams to embed controls throughout the data lifecycle.
• Ensures that high-value data is published as trusted, discoverable, reusable, and AI-ready data products with identified owners, documented definitions, clear service expectations, and consistent enterprise metrics.
• Partners with analytics, AI, application, integration, and business teams to prioritize foundational work based on business value, operational risk,…