📅 Aug 20
Lead and grow a data analytics team while shaping an AI-ready data platform, improving product measurement, guiding customer integrations, and delivering tailored analyses for life sciences clients.
Head of Data Analytics - Veeva Ostro
📅 Aug 20
SQLPythonData ModelingQuantitative Analysis
📜 Description
- Modernize data architecture with platform and data engineers to make it high-fidelity, AI-ready, and accessible.
- Guide data integrations into selected customer systems with solutions engineering.
- Improve standard analytics and measurement insights with the product team.
- Deliver custom client analyses with client services.
- Lead, grow, and mentor 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
- Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)
✨ Benefits
- Medical
- Dental
- Vision
- Basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
Full 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
Veeva Ostro operates as a startup within Veeva, and 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 Head of Data Analytics , you will lead the design, development, and continuous improvement of 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.
As the leader of the Data Analytics team, you will contribute to the team in a “player / coach” capacity, providing both executive leadership and hands-on expertise and contributions.
What You'll Do
Requirements
Interviewing with Veeva
We value your time and believe in a transparent hiring process. Here is the process you can expect.
- A conversation with the hiring manager
- A personality assessment (unless you have already completed it with Veeva previously)
- A practical case exercise
- A final conversation with our group's Senior Leader
Perks & Benefits
Compensation
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