Corporate R&D Digital Core Q&FS Product & Quality Data Champion at Mars in GBR-Berkshire-Slough

Job description

Job Description: Job Purpose/Overview We require a highly skilled and experienced professional to independently lead and drive the Corporate R&D Process and Systems team’s digitalization efforts. This role is critical to advancing a global, cross-segment R&D digital transformation program, enhancing efficiency, speed, and future-proofing our business. The role will report directly into the Digital Core Q&FS/R&D pillar and will extend its scope to include Quality & Food Safety (Q&FS) and other R&D Edge capabilities-related activities. The successful candidate will take ownership of the data and process related activities in relation to Enterprise Digital Core capabilities, including Quality Management (Testing & Conformance, Inbound and Outbound Traceability), Product Lifecycle Management (PLM), and seamless integration with Product Portfolio Management (PPM). These Enterprise R&D Digital capabilities will be deployed in all Royal Canin business units through the EOS program. This position requires a strategic thinker and a technical leader who will collaborate with senior stakeholders across RC and Enterprise to ensure data integrity, compliance, and alignment with Mars’ business objectives. The Corporate R&D/Q&FS Digital Core Data Champion is responsible for supporting the operational work related to activities managing R&D Master Data modeling, data requirement gathering and integration design. Collaborate with the Digital Core Data Manager to create and execute the data migration (ETL) strategy and the operational data governance efforts across R&D Edge, Core Quality (S4 & MDG), PPM and R&D Analytics. This role will be involved in the development and implementation of data models and integration processes to ensure data integrity, consistency, and quality across all business functions and compliant with regulations. This role will be a crucial part of the process mapping efforts in Signavio, developing and maintaining detailed process maps for all R&D Edge and Q&FS activities, including material master data management, product lifecycle management, and quality control workflows. This role is expected to work in partnership with the DT Data modelling solution architect, the Corporate R&D Material Master Data Champions, the Corp R&D Digital Core Senior leaders (Quality, Cplm, Process, SRA, Supply, SQA), the Segment Systems representatives and SMEs and the Functional Experts. This role is transformation funded and has an expected length of around 3 years. What will be your key responsibilities? STAKEHOLDER ENGAGEMENT Collaborate with stakeholders to gather functional data requirements, in order to develop and implement a comprehensive data modeling blueprint Collaborate with stakeholders to gather functional process requirements, in order to develop a detailed business process map in Signavio Help to create stakeholder updates such as newsletters, roadmap updates Help facilitate the connection with Sustainability, Regulatory Affairs, Trade Compliance, Commercial etc . R&D MASTER DATA MODELING Lead the creation and evolution of a data modeling blueprint that incorporates best practices and innovative solutions Define and enforce data modeling standards, policies, and procedures to ensure consistency and quality across the R&D data ecosystem. Establish and oversee data governance practices for master data, including data stewardship, data quality, and metadata management. Stay at the forefront of data modeling techniques and technologies and drive the adoption of innovative solutions to enhance the R&D data infrastructure. Continuously evaluate and refine data models to improve data accuracy, accessibility, and utility for analytics and reporting. DATA REQUIREMENT GATHERING, DATA MIGRATION (ETL) STRATEGY AND TOOLSET Lead activities and procedures such as capturing data definitions and data owners on the Data Wiki. Leading segment data harmonization activities in Veritas to support Digital Core Support operational data quality wo