Data Analytics Lead - Veeva Ostro

The Role

Veeva Ostro sits at the intersection of life sciences, marketing, and artificial intelligence. We empower pharmaceutical brands, healthcare providers (HCPs), and patients by orchestrating AI-enabled omnichannel engagement across the entire patient and prescriber lifecycle.

As the Data Analytics Lead, you will own the data systems and associated measurement analyses that sit at the intersection of our products, customers, and commercial strategy. Our products generate significant data as users ask questions and take action, and you will work with the product team to surface and execute on insights that govern how our product evolves. This data is also used by our customers in their planning efforts, and you will work closely with our client service and implementation teams to enable and deliver on customized analyses that reflect the nuances of each client’s strategy. To deliver on the above, you will proactively architect, build, and scale the next generation of our data platform to make it modern, scalable, and AI-ready.

What You'll Do

• Modern Data Architecture & Engineering: Work alongside platform and data engineers to upgrade our existing data architecture to be high fidelity, AI-ready, and easily accessible for both internal and external users
• Customer Data Integrations: Guide the execution of data integrations into select customer systems in partnership with our solutions engineering team
• Product Analyses: Uplevel our standard suite of analytics and measurement insights in partnership with our product team
• Custom Analyses: Execute on client-specific, custom analytical requests in partnership with our client services team
• Leadership & Team Mentorship: Direct and grow a team of data analysts and data engineers

Requirements

• Deep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets
• Strong command of modern data architecture particularly in enabling AI readiness. You will not be the sole engineer building every component yourself, but you need enough technical depth to actively participate in the design and build
• 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
• Recent work experience should relate to the pharmaceutical / life sciences industry (not necessarily at a pharmaceutical / life sciences company)
• Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)