Plan-to-Produce Specialist

## Plan-to-Produce Specialist Apply locations:
Findlay, Ohio:
Houston, Texas:
San Antonio, Texastime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
June 17, 2026 (13 days left to apply) job requisition :
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** 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 Plan-to-Produce Specialist is an individual contributor role within the Value Chain Optimization (VCO) organization, responsible for improving end‐to‐end performance of the Plan‐to‐Produce process through structured analysis, process design, and targeted improvement delivery. This role supports the Global Process Owner (GPO) and Process Excellence leadership by translating performance signals into actionable improvement priorities.

The Plan-to-Produce Specialist defines and applies KPIs to assess process effectiveness, identifies systemic issues and interdependencies across planning and execution, and leads structured improvement initiatives to close performance gaps. This role identifies and leads process improvement opportunities, then partners with Governance, Change Enablement, and Innovation roles to govern, document, and adopt the resulting changes.

Success in this role depends on analytical problem‐solving, cross‐functional facilitation, and the ability to drive measurable outcomes through influence rather than direct authority.
** Key Responsibilities
*** Supports the Global Process Owner (GPO) and Process Excellence leadership in defining, mapping, and improving the end‐to‐end Plan‐to‐Produce process, ensuring clarity of decision rights, handoffs, and integration points.
* Facilitates current‐ and future‐state process mapping and defines roles, controls, and handoffs using RACI/DCI frameworks, ensuring alignment with the Plan‐to‐Produce operating model.
* Defines, maintains, and applies KPIs, including leading and lagging indicators, to assess performance, anticipate risks, validate outcomes, and support decision‐making across the Plan‐to‐Produce value chain.
* Leads structured process improvement initiatives, including problem‐solving sessions, rapid improvement cycles, and root‐cause analysis, while managing the day‐to‐day improvement backlog to track actions, metrics, and closure of identified gaps, including integration of validated pilots from the Innovation Advisor.
* Partners closely with the Process Assurance Analyst to ensure Plan‐to‐Produce processes, decision rights, and standards are documented, governed, and adhered to over time.
* Partners with the Change Enablement Specialist to assess impacts, plan adoption activities, and support successful implementation of process, system, and performance‐management changes.
* Monitors process performance to identify emerging risks, performance degradation, and systemic issues, escalating findings and recommending corrective actions to the GPO and governance partners.
* Drives cross‐functional performance insights, identifying systemic issues, interdependencies, and Value Chain Optimization‐level improvement opportunities that span planning, execution, and outcomes.
** Minimum Education
*** Bachelor’s degree in Engineering, Supply Chain, Business, Operations Management, or a related field.
** Minimum Experience
*** Six (6) years of experience in process improvement, operational excellence, or value chain optimization roles.
* Experience with KPI development, root-cause analysis, and cross-functional facilitation in a complex operational environment preferred.
** Skills**
* ** Process Analysis & Problem Solving** – Ability to analyze complex planning and execution workflows, identify root causes, and translate insights into actionable improvement opportunities.
* ** Performance & KPI Interpretation** – Strong capability to interpret KPIs and operational signals to diagnose performance gaps and prioritize improvements.
* ** Change Translation** – Ability to translate process improvements into clear documentation, decision logic, and training‐ready artifacts that support successful adoption.
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