DY

Global Spares & Accessories Manager

Dyson

Singapore, SGonsitePosted Jul 14, 2026
Posting intelligenceActively listed

About the role

Summary

Salary:

Competitive

Job Family:

Sales Demand Planning

Location:

Singapore - St James Power Station Headquarters

About the Role

We’re looking for a Global Spares & Accessories Portfolio Manager to own the performance, availability, and lifecycle of Dyson’s spares portfolio across key clusters, with accessories as a supporting category.

This role is the critical link between global forecasting outputs and in-market execution, ensuring that spare parts-core to aftersales experience - are always available when and where customers need them.

You will translate forecasting insights into clear portfolio actions, actively managing availability, lifecycle, and complexity to deliver best-in-class service outcomes.

Your objectiveis to maximise spares availability, minimise customer downtime, and optimise portfolio efficiency, ensuring a seamless ownership experience for Dyson customers.

Key Responsibilities

Own Key Cluster Spares Portfolio Performance

Own end-to-end performance of the spares portfolio and accessories across key clusters

Drive lifecycle management of spares - from introduction to phase-out - aligned with product lifecycle and installed base evolution

Translate forecasting outputs into clear, actionable spares priorities and decisions

Lead portfolio optimisation, including rationalisation and prioritisation based on demand criticality

Drive Spares Availability & Service Outcomes

Own availability and service level performance for spare parts across all channels

Ensure critical spares are always available to minimise customer downtime and service disruption

Convert forecast signals into strong availability outcomes, proactively managing supply risks

Balance service level targets with working capital, obsolescence risk, and operational constraints

Act as the Voice of the Market (Key Clusters)

Translate cluster-specific demand drivers (fail rates, service trends, installed base behaviour, seasonality) into structured inputs

Provide real-world validation and challenge to forecasting outputs, ensuring spares demand reflects true usage patterns

Feed high-quality demand signals into the Forecasting Analytics team

Ensure global models reflect service reality and customer repair behaviour

Optimise Spares Portfolio Structure

Simplify and optimise the spares portfolio by reducing duplication and managing substitutions

Own compatibility, interchangeability, and repair logic across clusters

Ensure the right balance between range breadth, part criticality, and operational efficiency

Manage complexity to improve serviceability while maintaining high availability

Ensure Data & Listing Excellence (Spares)

Own data quality and integrity across all spares listings, including compatibility, attributes, and technical accuracy

Ensure spares are correctly identified, searchable, and easily selectable by customers and service teams

Support a seamless repair journey through clear and accurate product information

Cross-functional Leadership

Partner closely with Forecasting Analytics, Supply Chain, Engineering, and Service teams

Ensure alignment between forecast outputs, repair demand, and availability execution

Influence engineering and service decisions that impact part demand and serviceability

Align cluster execution with global frameworks while reflecting local service realities

About You

Strong experience in spares, aftersales, service operations, or portfolio/category management

Deep understanding of spares demand drivers (fail rates, installed base, repair cycles)

Commercially aware with strong focus on customer service outcomes and availability

Proven ability to translate data into decisions and execution

Comfortable operating in complex, fast-moving environments

Mindset & Approach

Customer-first mindset, with strong focus on minimising downtime and enabling repair

High ownership of availability and service outcomes

Structured and analytical, but highly pragmatic and action-oriented

Comfortable making decisions with imperfect data

Strong collaborator and influencer across global and cluster teams

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