Payroll Data & Reporting Quality Assurance Lead

Pearson Education ,
London, Greater London
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Job Description

Pearson is the world's leading learning company. Our education business combines 150 years of experience in publishing with the latest learning technology and online support. We work in more than 70 countries. Courses are available as books, online and through multi-lingual packages, helping people learn whatever, wherever and however they choose. Pearson has undertaken a major restructure to move from a federated set of business to a new 'One Pearson' structure over the last few years. There are a number of major programmes and initiatives underway to ensure our infrastructure, data and systems can support the One Pearson structure. The Enabling Programme is a major transformation programme working to integrate finance, HR and supply chain data, processes, policy and systems to support the One Pearson vision. It is supported by Pearson Executive Management. Role overview & Purpose This role is part of the Payroll Centre of Expertise, within the Employee Experience functional area of responsibility within the HR Function. Reporting into the Global Payroll Director it is a pivotal role in ensuring the successful use and growth of the Backoffice solutions that power the HR function and Payroll within Pearson. The Continuous Improvement SME role is fundamental to acceptance and adoption of Global Payroll Processes, functionality and Integration, to drive simplification within Pearson and provide a Global, standard operating model. The role will work in partnership with the HR Global Process Owner and Transformation Teams, the HR function, supporting the Global Payroll solution. This is a unique career opportunity to support Pearson grow through use of operational transformational processes and solutions and be able to add significant value to our One Pearson strategy. Key Deliverables * Develop strategy to drive Payroll data quality across Global Payroll solutions, using control mechanisms, systems and reporting techniques * Manage global / local Employee data list, including Employee data standards and pick lists, ensuring fit for purpose to support Payroll Processes and use of conditional calcs as far as possible * Ensure 100% Payroll data integrity by leading Employee Payroll, by Country data community with mandatory data calls, data clean up and regular reporting on data quality *

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