Responsible for the design, standardization, and deployment of a common, demand driven S&OP process across machines, engines, and components. This role enables consistent, constraint based planning and decision-making by integrating demand signals, long-term forecasts, capacity drivers, and analytics within the enterprise S&OP framework.

What You Will Do:

• Lead deployment of a standard enterprise S&OP operating model, including planning horizons, cadence, inputs/outputs, and decision rights.

• Standardize S&OP processes across machines, engines, and components, ensuring structural alignment of demand, supply, and capacity plans.

• Integrate demand driven planning principles (signal based demand, buffers, decoupling points, flow based metrics) into S&OP execution.

• Own long-term demand planning (12–36+ months), translating demand into capacity, labor, tooling, and capital requirements.

• Enable constraint based S&OP by making supply, material, and capacity constraints explicit and decision ready.

• Develop and support scenario analyses to evaluate tradeoffs across service, inventory, margin, and capacity recovery.

• Ensure capacity plans are synchronized across machines, engines, and components, with clear visibility to bottlenecks and dependencies.

• Interpret order behavior, backlog trends, and demand signals to shape planning recommendations.

• Support executive S&OP forums with data driven insights, modeled options, and decision implications.

• Define and reinforce S&OP governance, standard work, and adoption metrics.

• Collaborate with Manufacturing, Supply Chain, Finance, IT, and Commercial teams to ensure alignment and execution readiness.

Education Requirement:

• Bachelor’s degree in Engineering, Supply Chain, Operations, or related field.

Job Impact

• Improves consistency and quality of S&OP execution across machines, engines, and components.

• Enables faster, more disciplined decision-making under demand and capacity constraints.

• Supports enterprise transition to a demand driven manufacturing planning model.

What Skills You Will Have:

Effectiveness Measurement

• Interprets and reports performance metrics against benchmarks to support improvement initiatives.

• Establishes improvement goals and develops action plans using assigned measurement tools.

Analytical Thinking

• Breaks down complex problems to identify root causes using appropriate analytical tools.

• Evaluates alternatives by assessing costs, risks, and likelihood of success before recommending solutions.

Cross Team Integration

• Builds strong internal networks that promote information sharing and collaboration across teams.

• Identifies synergies and integration barriers to improve cross functional effectiveness.

Decision Making & Critical Thinking

• Applies structured decision-making techniques to analyze issues and prioritize concerns.

• Gathers and organizes relevant data to evaluate risks, benefits, and alternatives.

Project Management

• Plans, staffs, and monitors complex projects using established cost, schedule, and risk management tools.

• Communicates project status and conducts reviews to ensure alignment with objectives and stakeholders.

Standard Operating Procedures

• Reviews and updates SOPs to improve efficiency and ensure regulatory compliance.

• Monitors adherence to procedures and evaluates effectiveness for continuous improvement.

Supplier Management – Manufacturing

• Manages routine supplier interactions to ensure delivery, quality, and issue resolution.

• Supports supplier selection and collaborates with vendors to meet operational requirements.

Supply Chain Management – Manufacturing

• Participates in supply chain analysis to identify trends and improvement opportunities.

• Supports defined segments of the supply chain using appropriate systems and processes.

Technical & Functional Skills

Planning Systems & ERP Experience

• Familiarity with enterprise grade ERP platforms (e.g., SAP, Oracle) including demand/supply, BOMs, routings, and planning parameters.

• Strong ability to translate planning needs into system requirements within SAP IBP or Kinaxis.

Planning & Analytics Platforms

• Experience with cloud based planning tools for forecasting, S&OP modeling, and scenario development (SAP IBP, Kinaxis, o9, Anaplan, etc.).

Data & Visualization Tools

• Proficiency with Power BI, Tableau, or equivalent for dashboards and KPI reporting.

• Data modeling and analytics skills preferred (SQL, Python, Databricks).

Data Integration & Engineering Familiarity

• Exposure to SQL, Python, Databricks, or similar tools used in planning model development and analytics workflows.

Manufacturing & Capacity Knowledge

• Understanding of manufacturing capacity drivers (labor cells, machining centers, test stands, supplier constraints).

• Ability to work across portfolios with varying levels of planning maturity and product complexity.

Collaboration Tools

• Experience using SharePoint, Teams, and similar tools for governance documentation, standard work, and S&OP meeting content.

Top Candidates Will Also Have:

• Strong background in manufacturing planning disciplines such as S&OP, Integrated Business Planning (IBP), and/or capacity planning.

• Proven experience deploying and sustaining standardized planning processes across multiple product portfolios or value streams.

• Solid understanding of demand driven planning principles and constraint based decision-making.

• Demonstrated success working cross functionally in complex manufacturing environments.

• Experience improving organizational planning maturity and leading S&OP evolution.

• Exposure to enterprise planning platforms such as SAP IBP, Kinaxis, o9, or Anaplan.

• Professional certification such as APICS CPIM, CSCP, or comparable credential.

Additional Details:

• This position is based in Peoria, IL or Dallas, TX.

• Onsite work is required five days per week.

• Relocation assistance is not available for this role.

• Visa sponsorship is not offered.

• Travel is expected to be up to 40%.