Product Manager - cLean OpenData
VeevaThis Senior Product Manager role focuses on data products within the life sciences industry. You will lead the development of tools for capturing and curating healthcare professional reference data.
What you’d own
- cLean tool for OpenData capture
- Engineering team backlog management
- Success metrics for cost, quality, and relevance
- AI-driven data curation innovation
Who it’s for
A fit if you…
- ✓8+ years of professional experience with 5+ years in Software Product Management
- ✓Experience collaborating with both data and software engineering teams
- ✓Ability to analyze data curation processes and quality metrics
- ✓Strong computer science background
Not for you if…
- ✗You prefer a purely creative product role without deep technical data engineering involvement
- ✗You prefer a high-level strategy role over managing specific production tools and backlogs
- ✗You lack experience with complex data pipelines or reference data systems
Reading between the lines
- The mention of 'production tools' and 'data operations' implies you will be responsible for the operational efficiency of internal workflows, not just external-facing features.
- The requirement to 'drill into processes' suggests a need for high attention to detail in manual or semi-automated data cleaning workflows.
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Benefits
Full job description
About Veeva
See all roles →Veeva is the industry cloud for life sciences, providing software, AI, data, and consulting across R&D, quality, regulatory, safety, medical, and commercial functions for pharmaceutical and biotech companies. Its Vault platform and Vault CRM run mission-critical workflows like clinical trials, regulatory submissions, and HCP engagement, and it serves more than 1,500 customers from the largest pharma companies to emerging biotechs, with 85% of newly approved drugs launched on Veeva. Founded in 2007 and publicly traded, Veeva is a Public Benefit Corporation that weighs the interests of customers, employees, and communities. It is investing heavily in agentic AI for drug development and commercial teams, making it a strong fit for a PM who wants deep domain work in regulated, high-stakes vertical SaaS.
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