Product Leader - Data
veeva · Remote
MeritLog read this listing from veeva's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Remote
- Salary
- Not listed by source
- Location
- Germany - Berlin
- Company website
- www.veeva.com
Hiring context
How this role compares at veeva
veeva has 900 live roles in MeritLog’s catalog across 11 job families, and 283 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
veeva concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role At Veeva Data Cloud, we are building the next generation of data products and software for the global Life Sciences industry across Clinical and Commercial domains. As a Product Leader on the Data team, you will head a cross-functional squad of data engineers, data scientists, analysts, and operations managers. You will be responsible for defining the product strategy and driving end-to-end execution. This includes high-throughput data pipelines and curation tools to web applications and direct data APIs. In this role, you will leverage both modern GenAI and traditional technologies to innovate constantly, ensuring unmatched data quality and operational efficiency.