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The GIS Team Lead is a proven leader responsible for directing Flywheel Energy’s geospatial program across all functional areas of the business. The GIS Team Lead balances competing enterprise priorities while partnering closely with the Flywheel Technology team to deliver scalable, high-quality spatial solutions.

As department head, this individual leads spatial data standardization, drives standard process creation and efficiency, and ensures that GIS capabilities are tightly aligned with Flywheel’s acquisition-driven growth strategy.

Flywheel Energy is a rapidly growing private oil and gas company focused on “Building momentum where it matters.” A strong candidate will thrive in a fast-paced environment, demonstrate executive-level leadership, and have a deep passion for leveraging GIS to drive operational and business value.

*Only candidates currently located in and around the Oklahoma City metro will be considered for this role. This position is not eligible for relocation. 

Leadership & Strategic Direction

• Define and execute the GIS department’s strategic roadmap in alignment with Flywheel Energy’s business objectives and Technology team priorities.
• Act as the primary GIS liaison to executive leadership, translating geospatial capabilities into business-impact terms for senior management.
• Manage competing priorities across Land, Operations, Asset Development, and Technology to ensure GIS resources are deployed where they drive the most value.
• Manage departmental budgets, allocate resources across multi-disciplinary teams, and report regularly to leadership on department outcomes and GIS roadmap progress.

Data Governance & Standardization:

• Own and lead the GIS data governance, including spatial data standards, naming conventions, metadata management, QA/QC protocols, and master data management principles.
• Establish and enforce consistent data models, layer schemas, and spatial data structures across acquired and legacy assets.
• Develop and maintain standard operating procedures (SOPs) for all core GIS workflows, ensuring repeatability, accuracy, and scalability.
• Drive continuous process improvement initiatives that reduce manual effort, increase data quality, and accelerate delivery timelines.
• Champion adoption of automation and scripting – including Python and ModelBuilder – and AI-enabled tools to increase team efficiency.
• Ensure GIS systems are integrated with land, operations, and financial platforms for seamless cross-functional data flow.

• Bachelor’s degree in Geographic Information Systems (GIS), Geography, Geomatics, Geology, or Computer Science; advanced degree or equivalent industry experience considered.
• 5–8+ years of geospatial experience with a heavy emphasis on the oil and gas sector.
• Advanced proficiency in ESRI ArcGIS Pro, ArcGIS Pipeline Referencing (APR), UPDM databases, and Python/ModelBuilder.
• Deep understanding of linear referencing, horizontal drilling, subsurface data, and land/lease management.
• Proven capacity to manage departmental budgets, allocate resources across multi-disciplinary teams, and communicate geospatial strategies to senior management.
• Demonstrated expertise in enterprise GIS database administration and spatial data governance at scale.
• Strong knowledge of oil and gas land, operational, and asset development workflows and how GIS supports each.
• Experience managing teams, setting priorities, and delivering GIS solutions in a fast-paced, acquisition-driven environment.
• Excellent communication skills with the ability to present complex spatial concepts clearly to executive and non-technical audiences.
• Proficiency in SQL and/or spatial databases (PostgreSQL/PostGIS, SQL Server Spatial, or similar).

Preferred Qualifications:

• Experience with GIS platforms used in oil and gas (e.g., ESRI, Enverus, IHS Markit, DrillingInfo, or comparable).
• Experience with Power BI, Tableau, or similar BI platforms for spatial analytics and executive dashboards.
• Knowledge of land administration systems (e.g., Quorum, WolfePak, OGsys, OnDemand Land) and integration with GIS.
• Multi-state operational experience including Oklahoma and Arkansas.
• Experience with LiDAR, aerial/satellite imagery, remote sensing, or 3D spatial modeling.
• Familiarity with AI/ML applications in geospatial analysis or workflow automation.
• Track record of SOP development, workflow documentation, and cross-functional training programs.
• Experience managing vendor contracts, software licensing, and third-party GIS service providers.
• GISP certification or equivalent professional GIS credential.