Senior Consultant

Job Description

Job Title: Senior Consultant - Data Modeller Location: TRIL GTC Chennai GCL: D3 Introduction to role Are you ready to redefine an industry and change lives? AstraZeneca, a world-leading pharmaceutical company, is seeking a hard-working Senior Consultant - Data Modeller to join our team. With operations in over 100 countries and headquartered in the United Kingdom, we are at a crucial stage of our journey to become a digital and data-led enterprise. As a Data Modeller, you will develop and apply conceptual and logical data models that support the delivery of integrated solutions within AstraZeneca R&D. Your work will have a direct impact on our ability to develop life-changing medicines, empowering the business to perform at its peak. Accountabilities Focus primarily on the design and maintenance of conceptual and logical data models (3NF) and their application within IT project and business data governance processes. Define data modelling standards and apply them within all work products. Own and develop artefacts that exploit data models to understand data and data integrations, including modelling data flows and developing CRUD matrices. Collaborate with multiple IT roles, including Data Analysts, Solution Architects, and Information Architects, to embed the use of data models within both project and strategic activities. Work with business data governance teams to integrate data models and associated definitions within governance processes. Build expert-level knowledge of business data and apply it in crafting data models and supporting artefacts describing AZ R&D data and data flows. Locate and define new process improvement opportunities. Essential Skills/Experience Experience of developing and applying conceptual and logical data models (3NF). Experience of using at least one data modelling tool - ideally ER/Studio or Erwin. Knowledge of both SQL and NoSQL databases. Understanding of fundamental design principles behind a scalable application and data design. Strong exposure to IT Project Lifecycle. Life Science Domain experience. Ability to interpret and communicate technical information into business language.