Sandvik Mining is a global leading supplier in equipment and tools, parts, service and technical solutions for the mining and infrastructure industries. Applications include rock drilling, rock cutting, loading and hauling, tunneling and quarrying. We are proud to be recognized on the Forbes Top 50 Global Employers List.

The Role:

As an Asset Lifecycle Support Specialist in our Parts organization, you will balance parts availability, inventory health and working capital across assigned stockrooms. You will use data to set the right parameters, optimise strategic stock, and drive returns and obsolescence actions to ensure the right part is available at the right time for our customers.

In addition to core inventory planning responsibilities, you will play a key role in localising and optimising Predictive Operating Cost (POC) models. This involves validating global cost frameworks against Southern African operating conditions, leveraging your own technical insight as well as information gathered through structured collaboration with site-based teams, Product Masters, and technical support groups.

Key Performance Responsibilities:

Inventory Planning & Availability

• Drive parts availability and customer satisfaction by analysing demand patterns and missed hits, setting optimal stock levels and achieving inventory KPIs (e.g., Fill rate, percentage obsolete/slow‑moving inventory).
• Take accountability for inventory availability across all Parts & Services portfolios, including oversight of specialised and strategic stock categories.
• Own inventory health for assigned stockrooms, including stock on hand, goods‑in‑transit, production stock, and obsolescence reserves.
• Motivate, track implementation, and maintain inventory parameters (reorder points, safety stock) for standard assortment and strategic stock; monitor parameter performance and adjust based on signals.
• Manage the full lifecycle of strategic stock: identification, business case development, parameterisation and phase‑in / phase‑out planning.

Stock Optimisation & Returns

• Conduct analysis to identify obsolete and slow‑moving items.
• Lead optimisation actions including returns, rebalancing, and supersessions, tracking benefit realisation.
• Coordinate stock returns with relevant stakeholders and adjust plans when required.

Predictive Operating Cost (POC) Model Management

•  Collaborate with Sales Area technical teams, the Asset Lifecycle Support team, and site-based personnel to ensure POC models reflect local operating conditions.
• Collect and analyse Sales Area specific operational and performance data to calibrate POC models.
• Review, validate and optimise POC models prior to distribution to stakeholders.
• Train internal teams, including PSSRs, Sales Support and Product Masters, on interpreting and applying POC outputs effectively.
• Integrate POC-driven forecasts into the inventory planning process to support accurate demand signals.

Fleet Data Stewardship

• Maintain accurate fleet information across Master Data Global, Fleet App and Aurora.
• Monitor equipment hour capture and use insights to strengthen inventory planning inputs.
• Provide access, support, and training to Fleet App end users.

Stakeholder Collaboration

• Report parts availability and improvements to relevant stakeholders.
• Strengthen customer experience by improving fill rates and aligning inventory with customer needs.
• Support internal stakeholders with equipment recommended spares information.
• Partner across matrix structures to improve data inputs, assumptions, and process efficiency.
• Contribute to regional and global projects affecting planning, stocking strategies, or data models.

Your Profile:

• Grade 12 / N3 Equivalent Qualification
• National Diploma (or equivalent) in Logistics, Supply Chain, or a Relevant Engineering discipline (NQF level 6). ​
• 5+ years aftermarket, supply chain, or sales support experience.
• Demonstrated forecasting/demand planning capability.
• Understanding of mining equipment and maintenance practices; familiarity with predictive operating cost models or factory‑recommended parts lists.
• Advanced computer literacy (e.g., Excel)
• English proficiency
• Strong knowledge of ERP and business systems (e.g. Aurora, SAP) and BI tools (Microsoft 365, Power BI).

How to apply

Please apply online through Workday (ESS) or access the Sandvik website www.home.sandvik/en/careers

Applications close: 10 March 2026

Please note that, should you not receive any response from us within 14 days, your application has been unsuccessful. We, however, thank you for your interest in our company.

Sandvik is an equal opportunity employer, striving for practices and programs that are bias free and in which employees are treated fairly to ensure fair opportunity​ with the best outcome for every individual securing no discrimination on grounds including but not limited to, age, gender, gender expression, race, ethnicity, language, religion, sexual orientation, or disability.​ To ensure an inclusive, equitable and diverse work environment where people can develop and perform well, our focus areas are: great leadership, lifelong learning & development, career opportunities & open job market and safe & fair work environment.