Global Service Logistics Planner

Job Summary

The Global Service Logistics Planner is a senior-level, strategic role responsible for optimizing global inventory levels for our storage product business. Utilizing data-driven methodologies, you will analyze shipment and consumption data to forecast demand, manage a dedicated spare parts portfolio throughout its entire lifecycle, and ensure optimal part availability across global distribution centers and depots. Your work directly impacts customer satisfaction by balancing strict service excellence with operational cost efficiency using our enterprise tech stack.

Job Requirements

Core Responsibilities

• Demand Forecasting & Trend Analysis: Evaluate historical shipment and part-usage data to identify failure trends, forecast demand, and drive global inventory positioning decisions.

• Inventory Optimization: Develop and implement strategies to maintain optimal inventory levels of spare parts and accessories, balancing budget constraints, depot capacity, and service level targets (SLAs).

• Lifecycle Portfolio Ownership: Manage the end-to-end planning lifecycle of a designated parts portfolio, aligning stocking strategies with New Product Introductions (NPI) and End of Life (EOL) phases.

• Cross-Functional Partnership: Collaborate with Product Management, Engineering, Customer Support, and Global Logistics teams to synchronize supply chain strategies with product engineering changes and business goals.

• Continuous Improvement: Drive operational efficiency, forecasting accuracy, and depot performance using industry best practices and advanced data analytics.

• Systems & Visibility Leverage: Utilize enterprise planning systems and analytics platforms to enhance end-to-end visibility and data-driven decision-making across the service supply chain.

Role Requirements

• Professional Experience: 8+ years of direct experience in supply chain planning, demand forecasting, or aftermarket service logistics.

• Enterprise Software Expertise: Proven hands-on proficiency with SAP and Oracle Fusion ERP platforms.

• Specialized Planning Systems: Demonstrated experience using Baxter Planning (or equivalent advanced Supply Chain Planning software) for inventory optimization.

• Analytical Skills: Strong capabilities in data manipulation and visualization tools (e.g., advanced Excel, Power BI, Tableau) to analyze complex shipment and usage data.

• Education: Bachelor’s degree in Supply Chain Management, Logistics, Operations Research, Data Analytics, or a related quantitative field.

• Domain Knowledge: Strong understanding of service parts logistics, reverse logistics, and inventory modeling (Safety Stock, EOQ, reorder points).

Compensation:

The target salary range for this position is 100,300 - 149,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

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We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.