Systems Manager - Data Operations, Enterprise Data & Analytics

Responsibilities

• Lead and develop the Data Operations team, aligned across the three platform pillars of data architecture, data quality and data activation, setting priorities and managing day-to-day execution
• Oversee the integrity of EDAP data models and architecture (primarily on Google Cloud Platform; other platforms are Azure Databricks & C3.ai), ensuring changes are evaluated, governed, and implemented in partnership with solution and platform engineering teams
• Establish and enforce platform data governance standards covering naming conventions, data classification, documentation, access controls, and security and compliance requirements
• Direct the platform's data quality program, including monitoring, rule definition, profiling methodologies, issue management, and root cause analysis
• Ensure platform data quality practices stay aligned with the data governance office and quality standards as both the platform and enterprise policies evolve
• Oversee the design and delivery of data integration pipelines and data contracts between EDAP and source systems, middleware, and downstream consumers
• Ensure interface designs account for data sensitivity, integration methodology selection, and end-to-end data integrity across all activation work
• Partner with solution engineering, source system owners, business subject matter experts, and enterprise governance teams to align platform capabilities with business use cases
• Define and report on operational metrics, SLAs, and KPIs for architecture, quality, and integration, driving continuous improvement across the platform

Qualifications

• Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 6 years relevant full-time work experience
• or Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 8 years relevant full-time work experience
• Demonstrated experience in data engineering, data architecture, or data platform operations, including time spent leading technical teams
• Demonstrated experience with data modeling, data quality frameworks, and integration patterns across cloud and on-prem source systems
• Proven ability to partner across architects, engineers, business stakeholders, and enterprise governance groups to deliver operational outcomes
• Experience defining and managing operational metrics, SLAs, or KPIs for data platforms or similar technical environments
• Experience implementing data governance standards, data contracts, and observability practices on an enterprise analytics platform with integration points back to governance platforms such as Google Dataplex / Knowledge Catalog and Microsoft Purview
• Background in utilities, energy, or other regulated industries with exposure to compliance and data sensitivity requirements
• Hands-on experience with modern cloud data platforms (such as Azure, AWS, GCP, and/or Databricks) and the integration tooling that supports them