Head of Data Analytics - Veeva Ostro

Veeva Systems is hiring for a Head of Data Analytics to lead the data strategy for Veeva Ostro, a startup inside Veeva that sits at the crossroads of life sciences, marketing and artificial intelligence. The role is based in Toronto, Canada, with a hybrid arrangement that blends remote and in-office work. It’s a strong fit for someone who can turn data into strategic product and client value and who enjoys guiding a team through complex analytics challenges.

Veeva is a mission-driven company with clear values, Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, the company became a public benefit corporation, legally balancing the interests of customers, employees, society and investors. The Work Anywhere approach supports flexible work from home or in the office, so you can thrive in your preferred environment. The opportunity sits within Ostro, a startup within Veeva that operates where life sciences, marketing and AI intersect, enabling AI-enabled omnichannel engagement across the patient and prescriber lifecycle.

As the Head of Data Analytics, you will shape the design, development and continuous improvement of data systems and the measurements that connect our products, customers and commercial strategy. The data you help build will inform how the product evolves, support customers in their planning efforts, and drive customized analyses for each client. You’ll proactively architect and scale a next-generation data platform to be modern, scalable and ready for AI. In this role you’ll lead the team in a hands-on, player/coach capacity, delivering both executive leadership and practical contributions.

Guiding data at the crossroads of product and customers

You will design, build and continually enhance data systems and measurement capabilities that sit at the interface between Ostro’s products, the clients who use them and the commercial strategy of the business. The data generated by the platform will surface insights that guide how the product evolves and will empower clients with analyses for their planning. In collaboration with the product team, you’ll elevate the standard analytics offering and, together with client services, deliver customized analyses that reflect each client’s unique approach. You’ll also architect and scale the data platform so it remains modern, scalable and ready for AI applications.

What you need to bring to the table

• Extensive, hands-on expertise with SQL and Python, plus strong capabilities in data modeling, advanced quantitative analysis and handling large data sets
• A solid handle on modern data architecture with a focus on AI readiness; you won’t build every component yourself, but you should be able to participate actively in design and construction
• Ten or more years of progressive experience in data science, analytics or data engineering, including leadership roles overseeing teams
• Recent work experience in the pharmaceutical or life sciences industry
• An undergraduate or master's degree in a technical field such as computer science, statistics, engineering, math or physics

Compensation, perks and practical details

Base pay: $200,000 - $300,000 CAD. The salary range shown is provided to comply with local regulations and reflects a potential base salary for this role. Actual salaries may vary within the range above or below, depending on experience and location. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Perks include medical, dental, vision, and basic life insurance, plus paid time off and company holidays, retirement programs, and a 1% charitable giving program. Veeva’s headquarters are in the San Francisco Bay Area, with offices in more than 15 countries around the world, and the company supports a flexible Work Anywhere approach that includes hybrid options in Toronto.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, colour, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, or genetic information. If you need assistance or accommodation due to a disability or special need when applying for a role or in the recruitment process, contact [email protected].

Advice for applicants

Lead with a résumé line that highlights your track record building data platforms that are AI-ready and capable of supporting both product decisions and client analyses, especially if you’ve worked in life sciences.

Show your must-have skills with concrete examples: describe a project where you used SQL and Python to model data, built scalable pipelines, and delivered analyses that influenced a product or client strategy while working across product, engineering and client teams.

Prepare to discuss how you would approach data integrations for customer systems and how you’ve balanced standard analytics with client-specific requests in past roles, including any collaboration with solutions engineering or client services teams.

Ask about the current data architecture and the roadmap for AI readiness, how success for the data analytics team is measured, and how they balance internal analytics needs with customized client work.

How to apply

Follow the application process and submit your resume.

If you move to the interview stage, you can expect conversations with the hiring manager, a personality assessment (unless you have already completed it with Veeva previously), a practical case exercise, and a final conversation with a Senior Leader before a final decision is made.

If you need accommodations due to a disability, please contact [email protected].