EMEIA, Regional Pricing Manager
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- Have you previously worked at Apple?
About this role
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Apple is a place where extraordinary people gather to do their best work, creating products and experiences people once couldn't have imagined, and now can't imagine living without.
The EMEIA Pricing team is responsible for pricing implementation across all finished goods product lines and AppleCare services in region, working cross-functionally with Business Management, Product Marketing, Finance, Sales Finance, and Environmental and Levy Watch teams to support Apple product launches and reprices.
As Pricing Manager, you will lead a team of Pricing Analysts across Cork and Cupertino, coordinating pricing processes, researching pricing and business issues, and driving system, process, and people development to meet business requirements.
This role involves a high volume of discrete pricing elements and requires a strong focus on attention to detail, process automation, and continuous improvement. You will work cross-functionally in a fast-paced environment with changing priorities and tight time constraints.
Extensive experience in pricing, finance, or operations within a fast-paced, product-driven environment. Deep hands-on knowledge of SAP, Excel, and Excel Macros within a pricing or business operations context. A track record of developing or driving improvements to existing processes, with a focus on automation and simplification.
Analytical and business modelling skills with the ability to interpret and communicate complex data to senior leadership. Ability to work effectively with a high level of ambiguity and complexity in a large, matrixed organisation.
A track record of leading and developing a team through periods of change and ambiguity, creating an environment of growth, collaboration, and high performance while maintaining focus and delivery against objectives
Proficiency in scripting languages such as JavaScript or equivalent, and database tools such as SQL or Tableau. Familiarity with creating or deploying AI and machine learning solutions within a business, finance, or pricing environment. Degree in a relevant discipline; equivalent professional experience will be fully considered.