Mfg and Quality Data Expert-Life Sciences
at Capgemini
Posted 16 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Capgemini Invent is seeking a Mfg and Quality Data Expert in Life Sciences to help shape the vision, understand user and stakeholder needs, and elicit processes, data and capabilities to derive the target business requirements for manufacturing and quality solutions. The role defines the methods and business analysis framework for projects, performs requirements elicitation and modelling, and provides leadership within the project and beyond. It sits within Capgemini Invent’s transformation practice, leveraging data, science, and technology to deliver data-driven, pharma/biotech manufacturing and quality outcomes for clients. The ideal candidate will collaborate with clients to translate challenges into actionable data strategies and solutions.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Job Description
Job Description - Grade Specific
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
