Global Spares Portfolio & Listing Manager

About us

At Dyson, we solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. Our Customer team shapes extraordinary experiences for Dyson owners worldwide. We deliver proactive, fast, and thoughtful support that makes customers feel valued. We build loyalty through meaningful engagement, inspire advocacy, and turn every interaction into long‑term connection. Guided by our principles - effortless experiences, global consistency, personalisation, and relentless improvement - we ensure every customer’s journey with Dyson is exceptional.

About The Role

We're searching for a Global Spares Forecasting Analytics Manager ready to drive our forecasting evolution to a structured, data-led and insight-driven future.

This role goes beyond traditional demand planning. You will build and own a robust forecasting framework grounded in robust scenario modelling, product lifecycle dynamics, and customer purchase behaviour. You will develop and evolve models that are globally aligned and locally agile - ensuring forecasts are both accurate and commercially meaningful.

This is a high-profile as well as hands-on role for someone who enjoys working deeply with data, building models from principles, and operating in a fast-paced, evolving environment. The outcome? Customers delighted by finding the right spare, exactly where and when they need it while optimising service levels, contributing to Dyson’s next success.

Key Responsibilities

Own and Optimise Data Models

• Build, develop, and continuously refine dynamic forecasting models with ability of pivoting results and indications with varies assumptions

• Manipulate, clean, and structure large and complex datasets (sales, service, engineering, installed base) into usable forecasting inputs

• Apply statistical methods where appropriate, ensuring models remain explainable and grounded in business logic

• Ensure models are scalable, transparent, and adaptable to changing demand patterns

Lead Spares Demand Forecasting

• Transition the forecasting function to a robust, data-driven and model-based process

• Build and maintain forecasting framework across products, regions, and lifecycle stages

• Translate data into insights

Achieve Forecast Accuracy & Insight

• Define and track KPIs for forecast accuracy and bias across categories and regions

• Diagnose forecast deviations by linking back to underlying drivers

• Continuously improve data inputs, assumptions, and model performance

Global Implementation

• Standardise and deploy forecasting models and practices across regions

• Enable regional teams to incorporate market insights within a governed framework

• Balance global consistency with local responsiveness

Cross-functional Collaboration

• Engage with IT, supply chain, finance, commercial, engineering, and regional service teams to ensure data availability, model alignment, and process adoption

• Integrate key inputs such as product reliability, service trends, and compatibility into forecasting logic

Delight the Customer

• Ensure parts are forecasted and positioned so that customers receive the right spare, at the right time, in the right place to reinforce Dyson's Customer Love

Support Business Decisions

• Translate forecasts into inventory, service level, and working capital implications

• Support scenario planning (e.g. new product launches, supply constraints, pricing changes)

• Provide insights to optimise trade-offs

About You

• Strong capability to build dynamic and highly automated models

• Strong grasp of forecasting and data tools, with hands-on experience in data manipulation and modelling

• Comfortable working with complex, ambiguous, and imperfect datasets

• Experience managing demand forecasting, planning, or analytics in a global business is a plus

Technical Capability

• Advanced Excel skill is a must (modelling, structuring, scenario analysis)

• Familiarity with Python, SQL or similar tools (preferred)

Mindset & Approach

• Highly driven, proactive, and comfortable operating in a fast-paced environment

• Curious and intellectually rigorous; challenges assumptions

• Strong ownership mindset with a willingness to go deep into detail

• Able to translate complex analysis into clear business insights

• Collaborative, with strong stakeholder management and influe