Overview:
Diversified Gas & Oil Corporation (“DGOC”) is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol “DEC”. Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.
Responsibilities:
POSITION SUMMARY & RESPONSIBILITIES:
A hands-on builder responsible for improving and implementing commercial systems, data flows, and automation solutions, with an expectation to directly build and deploy tools where needed.
This role focuses on execution. You will work directly within marketing, trading, contracts, settlements, and accounting workflows to identify gaps, fix broken processes, and implement practical solutions that improve accuracy, speed, and decision-making across the commercial business.
Top Problem You Will Solve First:
- Complete and operationalize the LLM-based Contract Management AI platform so it is actively used in pricing, settlement, and reporting workflows
- Design and implement NGL and crude deal capture that flows cleanly through pricing, settlement, accruals, and accounting
- Eliminate friction between marketing and revenue accounting by improving pricing handoff, accrual accuracy, and reducing reconciliation issues
Key Responsibilities:
Contract Management & AI Ownership
- Own the commercial Contract Management AI platform end to end
- Lead contract ingestion, parsing, and structured data extraction
- Convert contracts into usable, structured data that drives execution
- Partner with technical teams to train and refine models over time
- Embed contract intelligence directly into pricing, settlement, and reporting workflows
Commercial Systems
- Design and implement systems across crude, NGL, gas, and midstream workflows
- Lead design and implementation of oil and NGL deal capture solutions
- Support and help drive midstream system redesign efforts where needed
- Align ETRM, ERP, and commercial processes so systems reflect real deal and contract logic
- Support establishing and maintaining a single source of truth across commercial data
Process Design & Workflow Transformation
- Redesign end-to-end workflows across marketing, trading, scheduling, settlements, and accounting
- Identify and eliminate manual processes, spreadsheets, and disconnected workflows
- Replace Excel-based processes with scalable, system-driven solutions
- Improve speed, control, and scalability across commercial operations
Automation and Tool Development
- Design and build automation solutions using Python, SQL, or similar tools
- Develop and deploy solutions using scripting, APIs, or AI tools to automate workflows
What Success Looks Like:
Within 6 to 12 months:
- Contract AI platform is complete, validated, and adopted
- NGL and crude deal capture is fully system-driven
- Pricing handoff and accruals are streamlined with minimal manual work
- Manual reconciliation and Excel-based processes are materially reduced
- ETRM, ERP, and commercial workflows are aligned
Technical Skills & Tools:
Required:
- Strong ability to work with data, troubleshoot systems, and validate outputs
- Advanced Excel skills
Expected Technical Capability:
- Write queries using SQL or similar tools
- Use Python or similar languages to automate processes and build tools
- Work with APIs or integrations across systems
- Build dashboards using Power BI, Grafana, or similar tools
AI and Automation:
- Experience working with LLM-based tools for data extraction or workflow automation
- Contribute to prompt design, testing, and iteration
- Exposure to agent-based or multi-step automation workflows
- Ability to evaluate when AI vs simpler automation is appropriate
Qualifications:
POSITION REQUIREMENTS:
Required
- 2 to 5 years of experience in analytical or technical roles in the energy industry
- Experience designing or implementing systems, automation, or process improvements
- Experience leading system initiatives in partnership with IT teams
- Ability to independently build or prototype solutions using modern tools, automation platforms, or scripting
- Exposure to AI, large language model applications, or model development in business environments
- Familiarity with data structures, reporting tools, and automation platforms
Preferred
- Strong background in marketing, trading, settlements, or related commercial functions
- Deep understanding of oil and gas accounting
- Strong understanding of commercial accrual processes and financial close integration
- Experience with ETRM systems such as FIS Aligne or similar platforms
- Experience with contract lifecycle management systems
- Experience working in a SOX-controlled environment
Office Physical Requirements and Working Conditions:
- Prolonged periods working at a desk in front of a computer.
Additional Requirements:
- Must be able to lift up to 15 pounds at a time.
What Sets You Apart
- You take ownership and deliver outcomes rather than coordinating work
- You can operate across commercial, accounting, and technical teams
- You are equally comfortable designing systems and building solutions
- You can get things done, despite challenges along the way
- You operate with a sense of urgency
Why This Role Matters
This role is critical to transforming fragmented and manual workflows into integrated systems, converting unstructured commercial information into structured and usable data, and aligning commercial and financial processes into a unified architecture.
Advancements in AI are changing how commercial data is captured, structured, and used. Contracts, deals, and statements no longer need to exist as static documents. They can become dynamic inputs into decision-making and execution.
You will define how commercial activity is captured, structured, and translated into financial outcomes across the business.