Posted 3 months ago

Data Product Manager - OpenData Europe

BarcelonaRemoteFull-time

AI Summary

Data Product Manager for OpenData Europe at Veeva, owning product strategy, roadmap, and cross-functional execution to scale data products for life sciences customers in a remote UK/Germany/Spain role.

About this role

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

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 Product Manager 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.

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.

Experience: 2+ years of experience in data analytics or product management, with a proven track record of extracting value from complex datasets.

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.