[High Salary] Veeva Configuration Engineer

1 month ago

Delhi, India Predactica™ Full time
Predactica, an AI/ML product based startup company is looking for a Viva certified developer in India for one of its clients.

As a Veeva configuration engineer, you will be accountable for developing, optimizing, and managing IT services/applications in Veeva with focus on Clinical trial management. You will also focus on ensuring cost-effectiveness, scalability, and security in all aspects of the digital product lifecycle, including maintenance activities. As part of enterprise engineering, you will be involved in understanding the business application processes and functions.

Key Responsibilities

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- Independently lead and manage business stakeholders, providing design and configuration solutions, conducting Proof of Concepts (POCs), managing testing, and overseeing data loads.- Lead the impact assessment of Veeva product releases in collaboration with the business and testing teams.- Ownership of monthly Business As Usual (BAU) releases.- Independently provide support and resolve critical end-user issues.- Collaborate with and support the existing L2 team to address and resolve priority user concerns.- Work autonomously, demonstrate leadership in working with cross-functional teams, and has strong problem-solving capabilities in a Veeva environment.- Responsible for the quality of the technical deliverables which also includes peer reviews.- Act as a subject matter expert for Veeva to support the design, implementation and maintenance of reliable and performant integrations.

Qualifications and experience

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- Extensive hands-on experience with Veeva configurations, with a particular focus on Quality Management Systems (QMS).- Strong functional knowledge and deep understanding of the Veeva Vault, including processes, workflows, and configurations.- Understanding of Veeva's architecture, data models and integration methods.- Proficiency in configuration tools and methodologies specific to Veeva.- Certification of the Veeva platform will be value-added.- Clinical Domain Knowledge: Understanding of clinical trial processes, regulatory requirements, and standards like Good Clinical Practice.- 3-5 Years of relevant work experience with Bachelor’s degree in Computer Science/IT/Engineering or 5 – 7 Years of relevant work experience- At least 3+ years experience of working in one or more multinational work environments (e.g. life science industry experience is a plus).

Good to Have

- Working knowledge of Computer Systems Validation (CSV) and GxP.- Working knowledge of regulations like HIPAA and GDPR in the healthcare industry.

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