Are You the Leader We Need?

- We are seeking an exceptional senior executive (Director level) - a true catalyst for change - to join our Material Planning & Logistics (MP&L) organization. This is a position designed for someone who not only understands complex global supply chains, inventory management, and the power of technological innovation but is also driven to fundamentally transform how we operate.

- If you are a proven executive known for leading large-scale business supply chain and logistics transformations, inspiring global teams across continents, and bridging the gap between strategic vision and operational execution, this critical role offers an unparalleled platform. You must thrive in dynamic, complex environments, possess deep functional and technical acumen, and influence change at the highest levels. This is your opportunity to shape the future of planning and logistics for a global automotive leader.

Key Roles and Responsibilities

- Meet All Key Bowler Metrices for IMG

- Lead IMG Planning and Implementation of Material Flow and Packaging Engineering strategies to deliver product programs per <PA> investments

- Drive standardization of new model study forecasting and benchmarking on space, flow & investment efficiency through engaging with program led complexity reduction efforts.

- Work with purchasing and program teams to validate the new or c/o supplier sequencing assumptions, material flow designs, develop new packaging solutions and strategies to achieve the optimum material cost. Develop Industrial Engineering Expertise for TVM

- Support MSAP/PD/ME led program studies - F&T , F&D, warehousing, sequencing, and bailment Strategies as part of MFPE E2E Material Flow (Supplier Till Point of Fit)

- Support freight CPU reduction driven on account of packaging engineering & intra-plant logistics (material flow), contribute enterprise-wide savings such as material cost reductions (MCR) by finalizing ILVS/ sequencing strategies & MFG LOH reduction (thru MH automations)/

- Lead IMG Benchmarking / Process Improvements via Gartner/Consultants engaging CFT in MP&L to deliver transformational changes

- Grow the MFPE center of excellence (CoE) at global scale.

- Work globally and cross-functionally on aligning the MFPE business processes to support the TVM actions to optimize inventory (cash) and freight (cost).

- Ensure IMG Plants achieving favorable monthly SNURK/MCRP results. Work with IC and plant teams to track and close MP&L related plant GAO and OIC audit comments.

- Lead IMG / CoE Inventory - Production /IM / PIA / BIA / Support bailment business case studies and participate in the BGB reviews. Achieve Forecasted Inventory Turns

- Lead IMG Program Management actions at launch phase through working with New model launch, PD, purchasing, STA, Manufacturing and suppliers.

- Lead new model program planning submissions to support key milestone gateways for MP&L related F&T and F&D investments. Drive LQOS Gateway & lead launch review, publish launch reports developing containment actions where necessary.

- Lead IMG SMRT for all upstream supplier launch readiness , supplier resourcing , supplier delivery performance improvements & MMOG

- Lead IMG MP&L's Innovation & Transformation Counsil driving E2E Digitization & Automation Initiatives

- Lead monthly plant operating governance reviews & LMM to ensure plant scorecards are on-track to deliver the intended results.

- Validate Plant MP&L teams DOS QPIP in line with corporate FPS timing - to ensure standardization and continuous improvement.

- Work closely and support plant on all SAFETY KPI's and initiatives

- Develop & Drive Sustainability initiatives and meet global guidelines as applicable

- Improve Teams Future Skilling through Training and Competency / Versatility Improvements

Experience & Background Skills Required:

- Engineering or other technical degree preferred. MBA or advanced degree preferred.

- Minimum 15 years' experience in supply chain, inventory and logistics domains.

- Operational plant experience within a Manufacturing Facility

- Prior experience in MF&PE , logistics / SCM / launch

- In-depth understanding of New Model Study Process, Tools and Templates

- In-Depth understanding of synchronous material flow (SMF) and Global Work Streams

- In-Depth understanding of Global Material Flow & Packaging Standards

- Financial acumen - Investment, F&T, Variable, Space, CPU

- Ability to effectively build relationships and teamwork both globally and cross-functionally.

- Ability to communicate effectively with all levels of management

- Management of a large workforce with diverse responsibilities across multiple countries

Other Considerations:

- Willing to travel locally and internationally as required.

- Flexible to work with different time-zone.

- Comfortable with handling multi-level of communications and interfaces

- Ability to effectively communicate with Global Manufacturing Engineering, Supply chain, STA, and Product Development Leads.

- Global Perspective on Material Flow and Packaging Engineering

- Global Perspective on Material management, logistics evaluation and Inventory management.

- Problem solving & servant leader approach

- Financial / Investment Acumen

- Cultural Awareness/Sensitivity

What You Will Be Accountable For:

Define and execute the strategic roadmap for the following:

- MP&L in-plant logistics operations - material flow engineering and packaging engineering

- Supplier manufacturing readiness using material management on-line guidelines/logistics evaluation (MMOG/LE) to boost supplier delivery performance

- Inventory planning systems and processes, aligning with global automotive business and supply chain strategy.

- Lead and inspire a large, geographically dispersed team (100+ professionals), fostering a high performance, collaborative culture.

- MP&L Product launch delivery and sustenance across the manufacturing sites in IMG region.

- Lead the MP&L innovation drive to optimize freight and inventory by building stronger partnerships across logistics and IT service providers to roll-out automation and AI/ML models.