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The software company powering the path to the world’s new medicines.
The Role
The Data Lead will own the product plan, manage a data team, architect data strategy, innovate pipelines, and ensure customer success in the life sciences sector.
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.
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.What You’ll Do
- 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.
Requirements
- Speed & Quality Focus: A detail-oriented professional who executes with speed and quality.
- Product Experience: 2+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.
Nice to Have
- 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.
Compensation
- Total compensation: 75,000 - 120,000 EUR
- The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation 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's total compensation may be composed of other types of compensation, 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.
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].
Skills Required
- 2+ years of experience in data analytics or product management
- Minimum of 2 years of first line management experience
- Bachelor's degree in Computer Science or related field
- Fluent in English (C1 or higher)
- Proficient in SQL
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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Equity Value & Accessibility — Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
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Flexible Benefits — Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
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Healthcare Strength — Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.
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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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