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.
Our vision for Veeva OpenData is to become the global leader in reference data for the life sciences industry. The world's top pharma and biotech companies use our data as the foundational layer for their commercial and medical operations
This means the data products you build will directly accelerate getting life-saving treatments to patients. As a Public Benefit Corporation (PBC), we balance purpose with profit, operating with a culture of extreme autonomy, speed, and ownership.
We are looking for an entrepreneurial data professional to step into the Data Lead role in the OpenData Europe team. The role is fully remote in the UK, Germany, or Spain. Travel expected: 10%.
If you have a strong technical foundation in data analytics or engineering and are tired of just pulling data to fulfill tickets, this is your chance to own the roadmap. You won't just oversee data pipelines; you will lead product strategy, identify new market opportunities, and lead cross-functional execution from end to end.
- Own the Product Plan: Serve as the end-to-end owner for the designated product, actively scaling its customer footprint and driving product strategy
- Lead a squad: Manage an agile team of data stewards that complete research and data entry tasks for your assigned geographical coverage
- Architect the Data Strategy: Make the critical, high-level product decisions governing how we source, transform, update, and analyze country datasets to maximize customer value
- Innovate & Execute: Translate market needs into a strategic roadmap for dedicated squads of data engineers, analysts, and product operations. You will actively identify opportunities to leverage AI and automation to build data pipelines that scale with quality
- Drive Customer Success: Partner directly with strategy, sales, and services teams to gather customer feedback, iterate rapidly, and ensure the product is continuously improving
- Champion Data Excellence: Set and enforce rigorous KPIs for data coverage, completeness, and accuracy, maximizing data quality
- Navigate Complex Markets: Stay ahead of healthcare regulations, compliance requirements, and market shifts, adapting the product roadmap to turn market complexity into a competitive advantage
- Speed & Quality Focus: A detail-oriented professional who executes with speed and quality
- Product Experience: 2–5 years of experience in data analytics or product management, with a proven track record of extracting value from complex datasets
- Management Experience: Minimum of 2 years of first line management experience, leading teams of internal employees or external contractors
- Ruthless Prioritization: Strong product intuition with the ability to manage a backlog, balancing long-term product scope, strict data quality standards, and customer feedback
- Technical Fluency: Proficient in SQL. You don't just rely on dashboards; you can query the database directly to investigate issues, validate data quality, and prototype solutions
- Educational Foundation: Bachelor’s degree in Computer Science, Information Management, Mathematics, Statistics, Physics, or a related quantitative field
- Communication: Fluent in English (C1 or higher), enabling you to effectively manage global stakeholders and translate complex technical concepts into business strategy
- Life Sciences Expertise: Experience building data products specifically for the life sciences industry, spanning data sources, data modeling, sourcing, analysis, and delivery
- Business proficiency (B2 or higher) in an additional language (e.g., French, German, Polish, Arabic), with an emphasis on complex languages and non-latin alphabets
We value your time and believe in a transparent hiring process. Here is the process you can expect.
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- 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.
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
