At a Glance
- Tasks: Lead data strategy and product development to enhance life sciences data solutions.
- Company: Join Veeva, a Public Benefit Corporation focused on impactful data for healthcare.
- Benefits: Fully remote role with competitive salary and a culture of autonomy.
- Other info: Dynamic team environment with opportunities for innovation and growth.
- Why this job: Make a real difference in healthcare by accelerating access to life-saving treatments.
- Qualifications: 2-5 years in data analytics or product management; SQL proficiency required.
The predicted salary is between 70000 - 90000 £ per year.
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 fulfil 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: 2–5 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.
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.
Interviewing with Veeva
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.
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 talent_accommodations@veeva.com.
Data Lead - OpenData Europe employer: Veeva Systems, Inc.
Veeva Systems, Inc. is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture that fosters collaboration and innovation. With the flexibility of remote work, employees enjoy a healthy work-life balance while being part of a forward-thinking company at the forefront of life sciences technology. The commitment to meaningful partnerships and project success ensures that every team member plays a vital role in shaping the future of healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead - OpenData Europe
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Veeva Systems, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Lead - OpenData Europe at Veeva Systems, Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Veeva Systems, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead - OpenData Europe at Veeva Systems, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Lead - OpenData Europe
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Veeva Systems, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Veeva Systems, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Veeva Systems, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Veeva Systems, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
