Senior Manager, Workplan Data Platforms and Engineering
About The Position
The Senior Manager, Workplan Data Platforms & Engineering, is responsible for leading the strategy, architecture, and execution of data management across the Workplan ecosystem for both Distribution and Transmission & Substation. This role oversees Workplan databases, leads a team of data engineers and data professionals, and develops a multi-year roadmap to mature data capabilities, improve data quality, and enable scalable reporting and analytics. This leader partners closely with business stakeholders, program managers, and technology teams to ensure Workplan data is accurate, timely, and aligned to operational and planning needs across Transmission & Substation (T&S) and Distribution. This position is hybrid, working from your remote office and your assigned location at least 2 days a week.
Requirements
- Bachelor’s Degree in job-related discipline or equivalent experience
- Job-related experience, 8 years
- 3+ years of leadership experience managing technical teams
Nice To Haves
- Experience managing enterprise data platforms (e.g., Snowflake, SAP, cloud data ecosystems)
- Strong understanding of data architecture, data modeling, and data governance frameworks
- Proven ability to lead cross-functional initiatives and influence stakeholders
- Bachelor’s Degree in job-related discipline or equivalent experience
- Prior experience with Electric / Gas Distribution or Electric Transmission programs or projects.
- Masters Degree in Computer Science or job-related discipline or equivalent experience
- Leadership experience, 5 years
Responsibilities
- Own the architecture, performance, and reliability of Workplan databases and supporting systems (e.g., Snowflake, SAP integrations, Power BI dataflows).
- Oversee data flows, integrations, and backend logic that support Workplan ingestion, transformation, and reporting.
- Lead and develop a team of data engineers, analysts, and technical contributors responsible for data pipelines, transformations, and automation.
- Set engineering standards for scalable data pipelines, data modeling, and data quality enforcement.
- Oversee design and implementation of: Automated data ingestion and transformation workflows, Data models supporting reporting and analytics, Data quality monitoring.
- Develop and execute a multi-year data roadmap aligned to Workplan strategy and enterprise data priorities.
- Define and prioritize initiatives across: Data architecture and integration, Reporting and self-service analytics, Data governance and standards, Automation and efficiency improvements.
- Identify opportunities to reduce manual effort and improve scalability through tooling and automation (e.g., self-service tools, standardized data models).
- Serve as the primary point of escalation for complex data issues, discrepancies, and data-related decision-making.
- Communicate data strategy, system health, and key risks to senior leadership.
- Establish and enforce data governance frameworks, including: Metadata and data dictionary management, Best practices for Data Architecture and Data Pipelines to reduce technical debt.
- Enable self-service analytics capabilities for business users i.e. Powerpages, Streamlit, Fabric Data Lake Houses.
- Evaluate and implement new technologies to enhance data capabilities and scalability.
- Promote innovation in how data is used to drive decision-making across the organization.
Benefits
- discretionary incentive compensation programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
