Corporate R&D Digital Core Q&FS Product & Quality Data Champion

Mars; Slough; Presencial; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company bonus

Mars University

Learning & development

Descripción de la vacante

Mars seeks a senior leader to drive Corporate R&D Process and Systems digitalization, owning data modeling and ETL strategy across R&D Edge, Quality, PPM, and analytics. You will collaborate with senior stakeholders to ensure data integrity, regulatory compliance, and platform alignment with Mars’ objectives.

The role requires strategic thinking, cross-functional leadership, and the ability to work across multiple time zones in a transformation program funded for ~3 years.

Formación

• Detail-oriented with strong analytical and problem-solving abilities.
• Ability to collect and translate business needs into technical requirements.
• Excellent verbal and written communication skills. Fluent in English.

Responsabilidades

• Lead the creation and evolution of a data modeling blueprint integrating best practices.
• Define and enforce data modeling standards, policies, and procedures for consistency.
• Establish and oversee data governance for master data, including data stewardship and metadata management.
• Drive the data migration (ETL) strategy and toolset across R&D Edge, Core Quality, PPM and Analytics.
• Develop and maintain process maps for R&D Edge and Q&FS activities using Signavio.
• Collaborate with stakeholders across multiple functions and time zones to ensure data integrity and regulatory alignment.

Conocimientos

Detail-oriented

Analytical thinking

Communication skills

Fluent English

Herramientas

Signavio

Veritas

ETL tools

Descripción del empleo

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 work in R&D across Q&FS, ERP and other capabilities
• Support requirement gathering and translation from SRA, SQA, Quality, Product and Pack Developper, Supply, Sustainability, Finance, to ensure data compliance with regulatory and sustainability principles
• Support cross-functional data related decisions and collaborate in data related design and governance
• Create analysis to ensure accurate specifications for materials to be purchased, including raw materials, semi-finished goods, and finished products, especially related to the necessary data consolidation in RC

PROCESS MAPPING FOR Q&FS AND R&D

• Help to develop and maintain detailed process maps for all R&D Edge and Q&FS processes and analytics, including material master data management, product lifecycle management, and quality control workflows.
• Ensure process maps are aligned with Mars’ global standards and regulatory requirements.

CONTINUOUS IMPROVEMENT & DEPLOYMENT

• Create and maintain user-friendly documentation and training materials to facilitate the adoption of new data models and data assessment and data migration processes
• Document data definitions and attributes in a central repository (Mars wiki).
• Create and maintain regular or one-off Data Quality and/or Data Validation analysis.
• Promote a culture of continuous improvement, encouraging the team to seek out and implement process enhancements.
• Drive innovation by exploring new tools, methodologies, and approaches to enhance the data modelling process, data cleansing, data migration, data quality.

What are we looking for?

• Detail-oriented with strong analytical and problem-solving abilities.
• Ability to collect and translate business needs into technical requirements.
• Excellent verbal and written communication skills. Fluent in English.
• The ability to work effectively in a cross-functional team environment.
• Proactive and self-motivated with a strong sense of ownership.
• Being able to work independently and take initiative – strong ability to work in a virtual environment across multiple time zones and cultures.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
• A strong focus on learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.