IT Data Systems Manager at Excelerate Energy in The Woodlands, TX

  • Company: Excelerate Energy
  • Location: United States - TX - The Woodlands
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-30

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Job description

Excelerate Energy is helping countries around the world enhance energy security through reliable LNG and power infrastructure solutions. We strive to deliver sustainable results by doing what we promise and investing in our people, assets, and technology while promoting a culture of safety, quality, and environmental stewardship. We believe our people are our greatest asset and are committed to fostering a culture of safety, collaboration, and continuous growth. Together, we work to expand access to reliable energy for communities around the world. The Data Systems Manager is responsible for reliable day-to-day management, support, and continuous improvement of the company's enterprise data platforms, integrations, databases, reporting environments, and workflow solutions. The role provides hands-on operational ownership for critical data systems and serves as a key technical resource for business and IT stakeholders. This position is expected to strengthen service continuity, improve data quality and system performance, and standardize integration and governance practices. The Data Systems Manager translates business needs into practical, supportable solutions while maintaining appropriate security, controls, documentation, and lifecycle management. Essential Duties and Responsibilities include but are not limited to the following activities. Reasonable accommodation may be made to enable individuals with disabilities to perform these essential functions. ESSENTIAL DUTIES AND RESPONSIBILITIES: include but are not limited to the following activities: • Assume day-to-day operational ownership of enterprise data platforms, integrations, databases, reporting environments, and related support activities. • Ensure the availability, performance, capacity, security, and reliability of critical data services through proactive monitoring, incident response, maintenance, recovery planning, and issue resolution. • Own and manage Microsoft Fabric, Azure SQL, SQL Server, Power BI, and related enterprise data environments. • Oversee the design, implementation, support, and documentation of APIs, system interfaces, data pipelines, and scheduled data exchanges across enterprise applications. • Establish standards for system interoperability, data reconciliation, error handling, change control, and production support. • Manage database performance, availability, backups, recovery, capacity planning, access, and lifecycle requirements. • Own enterprise datasets, data models, and semantic models that support reliable reporting, analytics, and business decision-making. • Improve data quality and reporting accuracy through appropriate validation, monitoring, controls, documentation, and issue remediation. • Define and maintain data architecture, governance, classification, retention, access, and lifecycle standards in partnership with IT Security, Internal Audit, Legal, and business stakeholders. • Ensure data readiness and governance to support AI initiatives and advanced analytics. • Assist in evaluation of AI initiatives/use cases from a Data/Integration standpoint. • Govern Microsoft Power Platform solutions, including Power Apps and Power Automate, and deliver practical workflow improvements that reduce manual effort and operational risk. • Coordinate data migrations, system upgrades, production deployments, and environment changes with application owners, infrastructure teams, security, and vendors. • Establish service metrics, system documentation, support procedures, ownership records, and monitoring routines for critical data services. • Serve as the primary technical resource for enterprise data systems, advising business and IT leaders on operational priorities, risks, tradeoffs, investment needs, and sustainable solutions. • Any other duties as assigned. QUALIFICATIONS, EXPERIENCE, AND EDUCATIONAL REQUIREMENTS: • Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field, or an equivalent combinatio

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