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The software company powering the path to the world’s new medicines.
The Role
Leads data architecture, engineering, customer integrations, product analytics, and customized client analyses for an AI-enabled life sciences platform. Partners with engineering, product, solutions, and client services teams to build scalable, AI-ready data systems and improve measurement insights. Manages and mentors data analysts and engineers while supporting pharmaceutical and life sciences customers.
Summary Generated by Built In
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.
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
- 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
- Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)
Interviewing with Veeva
- Follow the application process and submit your resume.
- If moving to the interview stage, our process is as follows:
- 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
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $200,000 - $300,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
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Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Skills Required
- Deep hands-on expertise in SQL and Python
- Strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets
- Strong command of modern data architecture, particularly AI-ready architecture
- 10+ years of progressive experience in data science, analytics, and/or data engineering roles
- Managerial experience leading teams
- Recent work experience related to the pharmaceutical or life sciences industry
- Undergraduate or master's degree in a technical discipline such as computer science, statistics, engineering, mathematics, or physics
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Flexible Benefits — Work Anywhere options, remote flexibility, and adaptable work schedules are emphasized, offering notable autonomy and location choice where role-specific rules allow.
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Leave & Time Off Breadth — Flexible personal time off is available where permitted, complemented by a company-wide holiday break that enhances rest opportunities.
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Wellbeing & Lifestyle Benefits — Physical and mental-health programs, wellness initiatives, fitness stipends, and onsite amenities at headquarters strengthen everyday support for employee wellbeing.
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The Company
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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