NG, NGLs, and Specialties Optimization Director

Overview

An exciting career awaits you. At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary:

The NG, NGLs, and Specialties Optimization Director will develop and operationalize optimization models across the NG & NGL Value Chain by embedding data-driven decision-making into commercial processes and workflows spanning the Value Chain. This role bridges Strategy, Trading, Supply, Operations, and Digital/IT to translate optimization strategy into real-time business impact, adding traceable value to the organization. This leader will be responsible for leading the buildout of the NG, NGL, and Specialties VCO organizational outlook, various decision-support models, tools, workflows and processes that define how optimization is executed from data inputs to the resulting operational changes derived from modeling results;

ensuring adoption, trust, and measurable value creation.

• Lead Value Chain optimization projects serving as the central resource for model development, management, and enhancements; monitor project timelines, budgets, and deliverables.
• Collaborates with Value Chain Leadership in strategically developing the organization to achieve goals, supporting the execution and adoption of the Value Chain optimization programs.
• Translate strategic priorities into high-value optimization use-case applications; prioritizing opportunities based on economic value and feasibility while logically layering into the larger Optimization program.
• Lead the definition and deployment of end-to-end workflows including data inputs, model execution, output interpretation, and decision ownership that support production, logistics, and market-based models that deliver margin-maximizing guidance across the enterprise.
• Translate business needs into modeling and data requirements;
  Partner with Data Science/IT on model development priorities, usability and deployment, ensuring outputs are practical, timely, and trusted.
• Apply predictive analytics to improve forecast accuracy and execution alignment across NG, NGLs, and Specialties Value Chains.
• Deliver desk-side assistance for acute modeling issues while maintaining governance, documentation, and user support across Optimization platforms.
• Integrate optimization model outputs into new and existing reports and forums to constructively and efficiently result in full adoption of the Optimization program models.
• Monitor plan execution, conduct structured lookbacks, and report adherence to drive continuous improvement and KPI alignment; challenge existing practices where optimization unlocks value.
• Establish feedback loops to continuously improve models and workflows using technology templates to improve comprehension and actionability of model outputs across commercial and operations teams.
• Partner across leadership from other organizations to support cross Value Chain and cross-organizational collaboration in capability building.

• Bachelor’s Degree required.
• Ten (10) years’ experience in oil and gas.
• Experience working with or alongside optimization models (LP, network optimization, etc.) preferred.
• Manage large-scale optimization and/or process improvement projects across teams preferred.

• Strong commercial acumen (pricing, logistics, asset optimization)
• Exceptional stakeholder influence and credibility
• Ability to translate between technical and business teams
• Systems thinker - understands end-to-end value chain impacts
• Change management
• Stakeholder management
• Compelling communication
• Analytical and problem solving
• Demonstrated success influencing decision-making

Location
:
Denver, CO;
Findlay, OH;
Houston, TX;
San Antonio, TX

Relocation
:
Yes

Estimated Travel
: 10%

As an energy industry leader, our career opportunities fuel personal and professional growth.

Location
:
Findlay OH Main Bldg

Job Requisition :

Pay Min/Max
: $ - $ Salary

Grade
: 15

Location Address
: 539 S Main St

Additional locations
:
Denver, Colorado;
Houston, Texas;
San Antonio, Texas

Education
:

Employee Group
:
Full time

Employee Subgroup
:
Regular

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