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Manage Cloud Performance Reporting and financial information for Global DD&T. Advise on cost-effective cloud consumption. Support budget planning cycle and collaboration with stakeholders. Develop and enhance reporting processes for self-service reporting. Serve as a trusted advisor for budgetary cost estimation and drive cost management using FinOps model.
As an Electronic Data Capture Engineer at Takeda, you will be responsible for overseeing EDC activities and supporting Takeda Clinical trials. Your role will involve developing eCRF specifications, managing EDC system configuration, and working with Data Management and Standards Teams to enhance processes. You will also be involved in testing, validation, and system maintenance to ensure data integrity and compliance with standards.
The 'Data Science Analyst' at Takeda will support the company's data strategy by collaborating with stakeholders, developing analytics solutions, and implementing data science techniques. The role involves building reports, conducting business analysis, and developing AI/GenAI models using Python skills.
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The Head of Enterprise Data Products at Takeda Pharmaceutical is responsible for leading the preparation, solutioning, and design of data products to drive business outcomes. This role involves developing a product vision and roadmap, understanding external data products, managing a portfolio of data products, and collaborating with various teams to deliver high-quality data products.
Lead the establishment of a pricing platform and data steward team in ICC Bangalore, focusing on strategic direction, internal data governance, and price analytics. Drive innovation, collaboration, and talent development while fostering understanding of decision-making impact on access and business goals.
At Takeda, the DD&T Business Analyst Cloud FinOps role involves managing cloud performance reporting, advising on cost-effective cloud consumption, supporting budget planning, collaborating with stakeholders, and enhancing reporting processes. The role focuses on ensuring accurate financial information and optimizing cloud costs for global technology operations.
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