Microsoft Senior Demand Planner 

United States, Washington 

242962826

Required Qualifications:

• Bachelor's Degree in Computer Science, Engineering, Supply Chain, Information Technology (IT), Business, Operations, Finance, Accounting, Data Science, or related field AND 4+ years supply chain, inventory management or sales operations experience, preferably in planning (demand/supply/forecasting), cloud industry experience, infrastructure, data science, and/or channel management experience
  • OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science, Engineering, Supply Chain, Information Technology (IT), Business, Operations, Finance, Accounting, Data Science, or related field AND 8+ years supply chain, inventory management or sales operations experience, preferably in planning (demand/supply/forecasting), cloud industry experience, infrastructure, data science, and/or channel management experience
  • OR equivalent experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until July 30, 2024.

• Demand Planning and Forecasts
  • Serves as the owner of the plan or forecast and drives the overall definition plan and incorporates the business drivers into the plan (e.g., forecast, budget).
  • Drives understanding of what is required to achieve plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes).
  • Performs data analyses to identify trends, patterns, correlations, and insights to develop new forecasting models and improving existing models.
  • Develops short and long term (e.g., weekly, monthly, quarterly) demand forecasts to assist business management in developing business and sales plans for key market maker accounts.
  • Partners closely with Marketing, Finance, and/or Channel Operations to drive optimal short and long-term demand plans to achieve financial and operations targets.
  • Defines forecast key performance indicators (KPIs), tracks forecast performance, and develops plans to continually improve performance.
• Capacity Planning
  • Balances and optimizes a capacity plan across all cloud workloads that meets customer needs, while maintaining compliance to supply and execution policies, throughput capacities and contractual requirements.
  • Drives supply-demand match and mitigation plans for capacity gaps, as well as what-if scenarios to support decision making with a Service and a profit and loss (P&L) mindset.
  • Serves as a subject matter expert to deliver on capacity plans.
• Finished Goods Inventory
  • Designs solutions to adjust to changes in demand after deployment and excessive finished goods.
  • May oversee the reworking of finished goods. Addresses excess goods by leading the repurposing of such goods for components or complex products.
  • Machine Learning and Analysis
  • Collaborates with others and helps lead others to leverage data to identify pockets of opportunity to apply algorithms to improve a solution to a business problem.
  • Consistently leverages knowledge of techniques to optimize analysis using algorithms. Uses statistical analysis tools or modifies existing tools for evaluating and leveraging Machine Learning models for demand planning usage.
  • Calibrates metrics to support decision making for data (e.g., gaining awareness of metrics and use of metrics).
  • Leverages industry standard demand planning methodologies such as machine learning and customer level forecasting to drive more predictability for the Commercial business.

• Analysis and Insight Generation
  • Interprets data within the context of analyses, which can include methodologies, and compares results across multiple methodologies. Uses their business acumen and broad experience with other business scenarios in order to provide recommendations to the business based on multiple studies or sources.
  • Identifies opportunities to do additional in-depth analysis that addresses latent issues and challenges the business’s assumptions. Informs both current business decisions, and decisions by managing and interpreting complex supply chain data.
• Lifecycle Management
  • Manages hardware and software roadmap. Launches through decommission plans and strategies (e.g., demand forecast, inventory, buffer).
  • Develops solutions and strategies to manage lifecycle changes within capabilities of execution teams.
• Risk Management
  • Identifies, communicates, and actively mitigates capacity risk. Determines prioritization and criticality during demand or supply events (e.g., quality, hardware, reliability, execution delays).
  • Manages risk to financial plans, sales, and/or margins.
  • Creates the correct buffer and inventory strategy to manage risk.
• Continuous Improvement
  • Lends key insights to both short-term and long-term strategic visions when driving continuous improvement work.
  • Defines and manages strategic implementation in the current year for both new and improved processes for Microsoft and vendor capab.

• Other:

  • Embody our and