Key Responsibilities:
Divisional Supply Chain Strategy
- Develop and execute a divisional supply chain strategy aligned with growth, margin expansion, and working capital objectives
- Assess Business Unit supply chain capabilities to identify gaps, risks, and improvement opportunities
- Define and implement the appropriate balance between standardization and local flexibility
- Support the development and deployment of corporate-wide commodity sourcing strategies and ensure alignment across Business Units
AI Implementation
- Develop and execute AI strategies to drive efficiency and process improvements across the supply chain
- Standardize and scale proven AI use cases across Business Units
- Ensure sustainable adoption and integration of AI into operating processes
Supplier Relationship Management & Optimization
- Define and implement a standardized Supplier Relationship Management (SRM) framework
- Establish supplier segmentation, governance models, performance metrics, and escalation processes
- Lead supplier consolidation and rationalization initiatives to reduce cost and complexity
- Drive supplier performance improvements across quality, delivery, and total cost
- Strengthen supplier risk management and ensure supply continuity
Cross-Business Unit Leverage
- Identify and execute opportunities to leverage scale across Business Units in sourcing and procurement
- Coordinate cross-BU initiatives to improve purchasing effectiveness, logistics efficiency, and supplier performance
- Develop business cases, define targets, and lead execution to ensure benefits are realized
Operational Performance & Metrics
- Establish divisional supply chain metrics, dashboards, and performance targets
- Improve end-to-end supply chain performance, including sourcing, inventory, lead times, and on-time delivery
- Partner with Business Units to enhance forecast accuracy, planning discipline, and working capital performance
Leadership & Change Management
- Partner with Business Unit leadership to understand capabilities, strengths, and constraints
- Lead change management initiatives to ensure adoption of standardized processes and tools
- Develop training materials, playbooks, and operating rhythms to build sustainable capability
- Influence stakeholders across a matrixed, decentralized organization
- Promote a culture of accountability, continuous improvement, and data-driven decision-making
Requirements for Consideration:
Education & Experience
- Bachelor's degree in Engineering, Supply Chain, Operations, or related discipline (required)
- Master's degree preferred
- 10+ years of leadership experience in supply chain or operations within an industrial manufacturing environment
- Proven experience leading multi-site or divisional transformation initiatives
- Strong background in supplier management, sourcing, and cost reduction
- Demonstrated ability to deliver measurable financial and operational results
- Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.
Skills & Competencies
- Strong analytical and structured problem-solving skills with solid business acumen
- Effective communication skills and ability to influence senior leadership
- Ability to manage cross-functional initiatives in a matrixed environment
- Willingness to travel domestically and internationally (up to ~50%)
Key Success Measures:
- Achievement of cost reduction and margin improvement targets
- Improved supplier performance and reduced supply risk
- Measurable improvements in working capital
- Successful adoption and sustainability of standardized tools and processes
- Realization of synergies across Business Units