Program Manager, Supply Chain, Networking Infrastructure Parts
Program Manager, Supply Chain, Networking Infrastructure Parts
Google IndiaEarly Applicant
- Posted a month ago
- Be among the first 40 applicants
Job Description
Minimum qualifications:
Responsibilities
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience with supply/demand planning, material planning, data center infrastructure, and capital investment decision making.
- MBA or Master's degree in Business Process Management, Industrial Engineering, Supply Chain Management, or related disciplines.
- 2 years of experience managing cross-functional or cross-team projects.
- Ability to collaborate and influence across multiple levels of an organization with experience leading cross-functional process improvements.
- Exceptional sense of accountability and ownership for end-to-end project lifecycle.
Responsibilities
- Develop short and long term supply and demand models to minimize total costs and inventories while maintaining/improving service levels for data center networking infrastructure parts.
- Present Supply and Demand recommendations to leadership, drive timely decisions, and ensure clear and concise communication to all stakeholders in the supply chain.
- Work with partner teams in procurement, materials management to track supply commits and provide supply response to upstream deployment teams. Establish best methods (statistical models, processes, software tools) in creating supply forecasts and respective inventory targets.
- Handle supply shortages and drive necessary mitigation actions and prioritization, allocation decisions with procurement, GCM teams to minimize impact to Google's capacity delivery.
- Drive product success by keeping everyone accountable for metrics such as forecast accuracy, inventory, excess and obsolescence, material spend, Cost of Goods Sold and gross margins.
More Info
Key Skills
supply demand planning
inventory excess and obsolescence
processes
supply forecasts
capital investment decision making
Cost of Goods Sold
statistical models
gross margins
inventory targets
material spend
forecast accuracy




