Requisition ID: 34270  Job Description: About the role At McCain, our Digital Technology team is dedicated to leveraging technology and data to drive profitable growth, enhance customer experience, and further our purpose of 'Celebrating real connections through delicious, planet-friendly food.' We have embarked on an ambitious digital transformation journey that spans our entire business, from Agriculture to Manufacturing, all with a focus on deepening our customer obsession.As part of this transformation, we are making substantial investments in digital platforms, technology advancements, and fostering a data-driven culture. Our goal is to develop digital products that serve our customers, suppliers/growers, and McCain team members, enabling digital processes and data-driven automation.  Through these investments, we aim to transform McCain into a company that empowers its teams with intuitive systems designed to enhance collaboration, productivity, and informed decision-making.   Are you ready to be part of this exciting journey? Join us and help shape the future of McCain through innovative technology solutions.  JOB PURPOSE: Reporting to the Data Architect Lead, Global Data Architect will take a lead role in creating the enterprise data model for McCain Foods, bringing together data assets across agriculture, manufacturing, supply chain and commercial.  This data model will be the foundation for our analytics program that seeks to bring together McCain’s industry-leading operational data sets, with 3rd party data sets, to drive world-class analytics.  Working with a diverse team of data governance experts, data integration architects, data engineers and our analytics team including data scientist, you will play a key role in creating a conceptual, logical and physical data model that underpins the Global Digital & Data team’s activities. .   JOB RESPONSIBILITIES: Develop an understanding of McCain’s key data assets and work with data governance team to document key data sets in our enterprise data catalogWork with business stakeholders to build a conceptual business model by understanding the business end to end process, challenges, and future business plans.Collaborate with application architects to bring in the analytics point of view when designing end user applications.Develop Logical data model based on business model and align with business teamsWork with technical teams to build physical data model, data lineage and keep all relevant documentationsDevelop a process to manage to all models and appropriate controlsWith a use-case driven approach, enhance and expand enterprise data model based on legacy on-premises analytics products, and new cloud data products including advanced analytics modelsDesign key enterprise conformed dimensions and ensure understanding across data engineering teams (including third parties); keep data catalog and wiki tools currentPrimary point of contact for new Digital and IT programs, to ensure alignment to enterprise data modelBe a clear player in shaping McCain’s cloud migration strategy, enabling advanced analytics and world-leading Business Intelligence analyticsWork in close collaboration with data engineers ensuring data modeling best practices are followed  MEASURES OF SUCCESS: Demonstrated history of driving change in a large, global organizationA true passion for well-structured and well-governed data; you know and can explain to others the real business risk of too many mapping tablesYou live for a well-designed and well-structured conformed dimension tableFocus on use-case driven prioritization; you are comfortable pushing business teams for requirements that connect to business value and also able to challenge requirements that will not
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