Lead Land Business Analyst

Expand Energy•Oklahoma City, OK

About The Position

This senior-level individual-contributor role leads complex, cross-functional initiatives spanning Land, Division Orders, Accounting, IT, Data & Analytics, and other business partners. The position serves as the primary Land business lead for SAP and other major system, data, and process initiatives, translating operating requirements into coordinated project plans, decisions, business requirements, and implementation outcomes. The role drives work across functional boundaries, identifies dependencies and risks, coordinates subject-matter experts, and ensures solutions support integrated Land and Accounting processes. It also mentors less-experienced Land Business Analysts and helps establish reusable project-delivery practices. Expand Energy describes its core values as Stewardship, Character, Collaborate, Learn, and Disrupt. The company says it welcomes applicants from varied backgrounds and is committed to equal opportunity. Its operations focus on developing unconventional oil and natural gas assets onshore in the United States.

Requirements

  • Bachelor’s degree from an accredited university in Energy Management or MIS.
  • At least 8 years of related work experience.
  • Significant experience leading complex, cross-functional business or technology projects.
  • Strong knowledge of oil and gas Land processes and their connection to Division Orders and Accounting.
  • Ability to lead through influence across teams without direct reporting authority.
  • Experience with enterprise system implementations, data conversions, integrations, or major process redesign.
  • Demonstrated ability to write business requirements, map processes, and drive decisions.
  • Understanding of internal controls, data ownership, reconciliations, and operational readiness.
  • Strong facilitation, executive communication, and issue-resolution skills.
  • Ability to balance detailed process analysis with broader project outcomes and timelines.

Nice To Haves

  • Working knowledge of SAP is strongly preferred.
  • Familiarity with Land systems, Snowflake, reporting platforms, and integration concepts is beneficial.

Responsibilities

  • Lead Land’s business participation in SAP implementation, conversion, integration, and stabilization activities.
  • Lead projects crossing Land, Division Orders, Revenue Accounting, Joint Interest Billing, Accounts Payable, and related Accounting functions.
  • Define project scope, business objectives, requirements, success measures, risks, dependencies, and decision points.
  • Build and maintain integrated plans for business requirements, data readiness, testing, training, implementation, and post-go-live support.
  • Facilitate process-design sessions with Land, Division Orders, Accounting, IT, and implementation partners.
  • Document current-state and future-state processes, including system handoffs, ownership, controls, and exception handling.
  • Coordinate Land subject-matter experts while maintaining accountability for project progress and business outcomes.
  • Translate detailed Land and Accounting requirements for technical teams and external implementation partners.
  • Lead data-conversion readiness, reconciliation, validation, and business sign-off activities.
  • Oversee user acceptance testing, defect prioritization, resolution tracking, and readiness reporting.
  • Identify upstream and downstream impacts of proposed changes to Land, SAP, or Accounting processes.
  • Ensure operational and control requirements are incorporated into system and process design.
  • Escalate decisions, risks, resource constraints, and unresolved cross-functional issues to leadership.
  • Develop change-management, communication, training, and adoption plans.
  • Coordinate hypercare, issue stabilization, and transition to sustainable operational support.
  • Mentor less-experienced Land Business Analysts and establish reusable project-delivery practices.
  • Evaluate process-improvement opportunities through workflow automation, improved data integration, and AI-enabled solutions.

Benefits

  • Extremely competitive compensation and benefits.
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