Global Process Planner (60%)

Responsibilities

Cost Calculation and Analytics (~60%)

- Build and maintain advanced Excel models to calculate Cost of Goods Manufactured for NPI, lifecycle changes, and footprint scenarios. - Consolidate and validate inputs from Engineering, Project Management, Marketing, Sourcing, Operations, and Finance. - Run scenario/sensitivity analyses (make vs. buy, site transfer, volume ramps, supplier switch, FX impacts) and provide clear recommendations. - Ensure documentation, version control, and auditability of all cost models. - Align costing assumptions and standards with Finance (rates, overheads, allocation methods).

Operations Footprint and Strategy Support

- Support make-or-buy decisions with quantified cost baselines and risk/benefit views. - Contribute to global network assessments and strategic projects (e.g., plant openings/closures, transfers). - Assess new products from a financial and risk perspective; provide costing inputs to gate reviews.

Process, Data, and Continuous Improvement

- Own and improve operations master data relevant to costing (BOM attributes, routings, work centers, rates, scrap factors, lot sizes) in partnership with plants/IT. - Review and improve operations processes related to costing; define templates, governance, and cycle-time targets. - Assess maturity of production sites from a data/process standpoint and drive corrective actions. - Coach and mentor stakeholders on cost drivers, Excel modeling standards, and decision-quality inputs; contribute to talent development.

Must-have

- Master’s degree in Industrial Engineering, Business Administration, or equivalent experience. - Advanced/Expert Excel skills (complex formulas, PivotTables, Power Query; scenario/sensitivity analysis). VBA or Office Scripts is a plus. - Experience in cross-functional project management. - Strong analytical and communication skills; structured, detail-oriented working style. - Experience in change management.

Nice-to-have

- SAP experience (BOMs, routings, work centers, costing/CO module, master data). - Exposure to manufacturing operations, NPI/industrialization, or network transfer projects. - Power BI or similar for visualization; basic Python for data preparation. - Experience improving data quality and process governance across multiple sites.

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