Enterprise Architect

Role Summary The ERP Lead Analyst owns the financial and manufacturing domains of the enterprise ERP landscape across the portfolio. This role ensures financial integrity, cost transparency, production efficiency, and regulatory compliance while enabling scale across diverse operating companies.

Key Responsibilities

• Own technical ERP design and delivery of a new ERP system for:
  • Financials (GL, AP, AR, FA, Cost Accounting)
  • Manufacturing (WIP, BOMs, MRP, production orders, inventory, quality)
• Serve as the primary business partner to Finance and Manufacturing teams
• Working with Finance, define chart of accounts, cost models, and close processes.
• Alongside Finance and Manufacturing teams, deliver ERP implementations, upgrades, and rollouts across portfolio companies
• Translate manufacturing strategy into system-driven production planning/execution
• Lead the delivery of systems that ensure accurate product costing, margin visibility, and inventory valuation
• Partner with supply chain and procurement teams on planning and execution
• Manage integrations with MES, PLM, WMS, and external finance systems
• Lead data governance for finance and manufacturing master data
• Strong customer-centric mindset balanced with operational rigor
• Support audits, financial controls, and regulatory compliance

Required Experience & Skills

• 8+ years ERP experience (SAP, Oracle, Dynamics, or equivalent)
• Deep hands-on expertise in:
  • Accounting standards
  • Discrete and/or process manufacturing
• Strong understanding of MRP, capacity planning, and production scheduling
• Proven leadership of multi-entity, multi-plant ERP environments
• Ability to balance global standards with local operational needs
• Strong customer-centric mindset balanced with operational rigor
• Strong analytical, documentation, and stakeholder management skills

Preferred Qualifications & Skills

• Experience operating in multi-business-unit or multi-industry environments.
• Strong stakeholder management skills and ability to align diverse teams around a common data vision.