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.

Employment type
Part-time

Work arrangement
Hybrid