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Data Engineering, Senior Manager

Job in Pomona, Los Angeles County, California, 91768, USA
Listing for: Southern California Edison (SCE)
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 183000 - 274000 USD Yearly USD 183000.00 274000.00 YEAR
Job Description & How to Apply Below
Join the Clean Energy Revolution

Become a

Hiring Manager: Ajay Singh
Job Abbreviation: _E
Pay Grade: Exempt - 37
Pay Range: $ -$
Join the Clean Energy Revolution
Become a Data Engineering, Senior Manager at Southern California Edison (SCE) and build a better tomorrow. In this leadership role, you will be responsible for setting the strategic direction and execution of data engineering solutions that enable data-driven decision-making across Transmission & Distribution (T&D). You will lead a team of data engineers and analytics professionals in designing, developing, and maintaining scalable data platforms, integration pipelines, and enterprise data products that support operational, financial, performance and strategic objectives.

As a Senior Manager, you will oversee the development of modern data architectures and cloud-based analytics solutions leveraging technologies such as Python, SQL, Snowflake, and low-code platforms including Palantir Foundry. You will drive data governance, data quality, and best practices for managing large and complex datasets while ensuring reliable, secure, and efficient delivery of business-critical data assets. Additionally, you will partner closely with operational leaders, technology teams, and executive stakeholders to identify opportunities, prioritize investments, and deliver innovative solutions that improve performance, increase efficiency, and unlock business value.

As a Data Engineering, Senior Manager
, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities
  • Establishes departmental objectives and leads the strategic direction for data engineering to support enterprise-wide data initiatives and business transformation.
  • Manages the activities of the data engineering department through subordinate managers, ensuring delivery of scalable, secure, and high-performing data platforms and pipelines.
  • Defines and implements standards, processes, and operational plans that align with business strategy and enable consistent, high-quality data delivery.
  • Develops and manages departmental budgets, staffing plans, and performance metrics to ensure efficient use of resources and achievement of goals.
  • Collaborates with senior leaders across data, IT, and business functions to prioritize initiatives, align architecture decisions, and deliver integrated data solutions.
  • Oversees the implementation of data governance, metadata management, and data quality frameworks to ensure compliance, trust, and reusability of data assets.
  • Contributes to the development and execution of company-wide data policies and programs, ensuring alignment with enterprise objectives and technology strategy.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
Minimum Qualifications
  • Five or more years of experience supervising a team of direct reports and/or project management.
  • Experience with data processing large data sets hands-on with data transformation aggregation and filtering.
Preferred Qualifications
  • Proven experience leading data engineering, analytics, or data platform teams, including responsibility for strategy, delivery execution, resource planning, and talent development.
  • Demonstrated experience overseeing the design, development, and maintenance of enterprise data integration solutions, APIs, and ETL/ELT pipelines using technologies such as Python, SQL, Apache…
Position Requirements
10+ Years work experience
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