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As a Process Architect, you will convert legacy document processes into modern data-centric systems, guide customers in digitalization, and develop migration tools for data management.

The Principal Consultant in EU Analytics will lead global projects, drive business development, manage teams, and advise C-suite stakeholders in Life Sciences, focusing on technology and data transformation.

As a Consultant in the EU Analytics Practice, you will lead project workstreams, solve complex problems, and mentor Associate Consultants while driving growth through business development and internal IP creation.

As an Engagement Manager in EU Analytics, you will lead complex analytics projects, manage customer relationships, oversee project budgets, and foster team excellence while driving organizational change in life sciences consulting.

In this role, you will lead projects focusing on analytics transformations, manage project teams, drive business development, and leverage AI insights for Life Sciences.

Responsible for ensuring customer success with Veeva's Quality products, acting as a liaison, providing strategic guidance, and supporting global customers post-implementation.

Implement Veeva PromoMats and DAM solutions for life sciences customers: lead discovery and design workshops, translate requirements into solution design, configure systems, oversee build/test/deploy, produce documentation, plan post-go-live support, and provide subject-matter expertise for integration into customer ecosystems.

Lead and deliver complex R&D consulting engagements for life sciences clients, manage project teams end-to-end, drive business development, build client relationships, and produce thought leadership across Regulatory, Clinical, Quality, and Safety domains.

Lead and manage consulting workstreams for R&D customers—plan, design, and deliver project outcomes; build stakeholder relationships; mentor junior staff; provide industry and digital technology insights; contribute to business development and thought leadership.

Design, implement, and improve Spark-based data pipelines for Veeva Link's data platform. Own features end-to-end, collaborate with data science to operate ML models, and enhance observability, performance, and precision.