QA Environment & Data Lead

Overview

At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow’s energy challenges while learning new skills and growing your career.

ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.

Job Summary

The Test Environment & Data Lead is accountable for the governance, stability, and continuous improvement of all non-production test environments to ensure secure, compliant, and release-ready systems. This role oversees end-to-end environment lifecycle management, including configuration control, test data governance, environmental use and data refreshes. The lead ensures alignment with Quality Assurance and Release & Change Management standards to minimize operational, product, and data-related risks.

In addition, this role is responsible for maintaining data integrity and consistency across environments by coordinating controlled test data refresh cycles, validating post-migration data accuracy, and ensuring compliance with data privacy, security, and regulatory requirements. Close collaboration with Database, Infrastructure, and Security teams is required to ensure environments are production-representative, audit-ready, and optimized for consistent, reliable, and predictable testing outcomes.

The Environment & Test Data lead serves as a critical quality and data control point, safeguarding both system stability and data accuracy across the non-production landscape.

• Broadly applies principles, theories and concepts related to the profession. A seasoned, experienced professional with an in-depth/full understanding of area of specialization.
• May provide recommendations regarding issues outside the bounds of defined procedures and practices. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
• Wide latitude for decisions within assignments, programs and projects; impact is generally limited to the project or department.
• Acts as a resource to advise and may at times lead the work of lower level professional and/or support employees. Generally represents the department on projects and may perform in a project leadership role.

• Own lifecycle management of Test and Pre-Prod environments
• Maintain environment configuration baselines and version inventory
• Ensure environment readiness before test cycles
• Coordinate provisioning, upgrades, and patching with platform teams
• Monitor environment stability, availability, and performance
• Manage environment scheduling and conflict resolution
• Prevent version drift between QA and Production
• Execute the QA Test Data Management strategy and roadmap
• Collaborate with Release Management, the PMO, Application Services, and other IT areas in designing and implementing an enterprise test data repository for development testing
• Plan, schedule and communicate test system refreshes, time-sliced data refreshes, on-demand test data requests and coordinate with IT for virtual test environments as needed
• Work independently and communicate with all levels of management in a timely and accurate manner
• Define the test data management architecture and tool strategies
• Deliver, implement and oversee a newly formed Test Data Management service within QA and Test Management
• Establish service levels for the TDM shared service, including reporting and service valuation
• Coordinate work of decentralized business application teams with demand management models across multiple projects
• Implement methodologies for automated test data generation, test…