Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering & Platforms in India.
This is a senior technology leadership role focused on building and scaling modern enterprise data and AI platforms within a global, science-driven organization. You will lead the design and evolution of an Azure-based data ecosystem that powers analytics, AI-driven insights, and operational intelligence across business and research functions. Acting as both a strategic leader and hands-on technical expert, you will shape architecture decisions, drive platform modernization, and ensure scalability, security, and cost efficiency. The role also combines people leadership responsibilities, including managing distributed engineering teams and supporting global follow-the-sun operations. You will collaborate closely with business, IT, and global stakeholders to translate complex scientific and operational needs into robust data solutions. This environment is highly collaborative, innovation-focused, and mission-driven, with direct impact on advancing digital transformation in life sciences.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering & Platforms in India.
This is a senior technology leadership role focused on building and scaling modern enterprise data and AI platforms within a global, science-driven organization. You will lead the design and evolution of an Azure-based data ecosystem that powers analytics, AI-driven insights, and operational intelligence across business and research functions. Acting as both a strategic leader and hands-on technical expert, you will shape architecture decisions, drive platform modernization, and ensure scalability, security, and cost efficiency. The role also combines people leadership responsibilities, including managing distributed engineering teams and supporting global follow-the-sun operations. You will collaborate closely with business, IT, and global stakeholders to translate complex scientific and operational needs into robust data solutions. This environment is highly collaborative, innovation-focused, and mission-driven, with direct impact on advancing digital transformation in life sciences.