Skip to content

Open nowPosted yesterday

NG, NGLs, and Specialties Optimization Modeling & Technology Manager

MPC116 open roles

Where
Denver Colorado
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowNG, NGLs, and Specialties Optimization Modeling & Technology ManagerMPC · Denver Colorado
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MPC's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. MPC postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted yesterday

MPC median: 7 days open

The posting

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 & NGL Optimization Modeling & Technology Manager will lead the development, implementation, and ongoing advancement of digital models and decision-support tools that enable integrated, cross-functional optimization across the NG & NGL value chain. Positioned within the Planning & Optimization organization, this role will connect Commercial, Trading, Operations, Scheduling, Logistics, Finance, Digital/IT, and other stakeholders to translate business decisions, plant capabilities, operating constraints, and value drivers into trusted, technically sound optimization solutions.

This role will serve as the primary business and technical liaison between NG & NGLs processing stakeholders, IT teams, and third-party software providers to develop digital tools to support value chain optimization. The role will ensure models accurately represent plant and network processes, data, economics, contracts, and operational constraints; establish model governance and performance standards; and drive adoption, support, training, and continuous improvement so model recommendations are feasible, explainable, and capable of delivering measurable enterprise value.

KEY RESPONSIBILITIES:

  • Lead the development, implementation, and lifecycle management of NG & NGL optimization models, digital tools, and decision-support applications supporting planning horizons from long-range strategy through near-term execution.
  • Serve as the NG & NGL processing and optimization subject matter expert, translating plant configurations, process relationships, operating limits, product recoveries, quality requirements, commercial terms, logistics constraints, and market economics into functional and technical model requirements.
  • Partner closely with Digital/IT, data and architecture teams, and third-party software providers to define solution design, data integration, testing, security, deployment, support, and enhancement requirements while maintaining business ownership of model logic and outcomes.
  • Direct model configuration, calibration, validation, and performance monitoring to ensure recommendations accurately reflect asset capabilities and produce feasible, explainable, and economically sound results across plants, regions, and the enterprise value chain.
  • Coordinate priorities and delivery of the digital tools across Planning & Optimization, Commercial, Trading, Operations, Scheduling, Logistics, Finance, Digital/IT, and other business partners. Partner with IT to manage project scope, resources, risks, milestones, vendor performance, and status reporting for assigned digital initiatives.
  • Own business acceptance and operational readiness, including test-case development, user acceptance testing, recommendation backcasting and validation, defect resolution, production support, and transition from project delivery to sustainable business and IT support models.
  • Develop training, procedures, support playbooks, and technical guidance for business users and support teams. Coach team members and stakeholders in model interpretation, scenario development, appropriate use of recommendations, and continuous improvement of planning processes.
  • Evaluate emerging optimization methods, solvers, analytics, forecasting capabilities, and digital technologies; recommend enhancements that improve scalability, reliability, transparency, decision speed, and value realization across the NG & NGL business.
  • Define and monitor measures for model accuracy, reliability, adoption, decision latency, plan-versus-actual performance, and realized value. Communicate results, limitations, risks, and recommended actions to leadership and key stakeholders.

EDUCATION & EXPERIENCE:

  • Bachelor's degree in Chemical Engineering required. A Bachelor's degree in another technical field may be considered with substantial relevant experience in NG/NGL processing, optimization modeling, operations research, planning, commercial, logistics, data analytics, or digital solution development.
  • Ten (10) years or more of relevant experience required, including experience developing, supporting, or applying optimization, process, economic, scheduling, forecasting, or decision-support models in the natural gas, NGL, midstream, refining, petrochemical, or related energy industry. Leadership of cross-functional technical initiatives and third-party solution providers preferred.

RELOCATION:

  • Relocation assistance may be available for candidates, based on the candidate’s current location and the requirements of the position.

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

External Field.

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

Location:

Denver, Colorado

Job Requisition ID:

00024792

Pay Min/Max:

$162,700.00 - $243,800.00 Salary

Grade:

14

Location Address:

1515 Arapahoe St Twr1 Ste 1600

Additional locations:

Canonsburg, Pennsylvania, Findlay, Ohio, Houston, Texas, San Antonio, Texas

Education:

Employee Group:

Full time

Employee Subgroup:

Regular

Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here.

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MPC's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on MPC's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    MPC's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.