Data Product Manager - Link Activity Data

## About the Role The Data Product Manager for Link Activity will be responsible for leading the development of a data product that provides a central source of high-quality deep data for the Veeva Link suite of products. This role will require close collaboration with a squad of data engineers, data operations, and analysts to ensure the successful delivery of high-value features. As a key member of the Veeva Link team, you will be instrumental in defining and prioritizing the Link Activity data roadmap, driving the development of data initiatives from ideation to delivery, and aligning product development with stakeholder interests. The ideal candidate will have a strong background in product management, with a desire to build a diverse data product that forms a foundational element of the Link data ecosystem. You should be energized to work closely with cross-functional teams, including data engineers, data scientists, and analysts, to ensure the successful delivery of high-value features. Veeva Systems is committed to making a positive impact on its customers, employees, and communities. 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. ## What You Will Do - Define and prioritize the Link Activity data roadmap - Drive the development of data initiatives from ideation to delivery, ensuring product and customer success - Align product development and communicate feature releases with product stakeholders - Design and define requirements for product data model and delivery pipelines - Lead a squad of Data Engineers, Data Scientists, Data Curators, and Analysts - Become a subject matter expert for Link Activity data, including clinical trials, scientific literature, and events, digital activity, and more - Collaborate with other Link Data Product Managers to facilitate cross-product alignment and consistency - Support internal teams on product queries and provide data insights to inform business decisions - Develop and maintain a deep understanding of the life sciences industry, including trends, challenges, and opportunities - Identify areas for process improvement and implement changes to optimize data product development and delivery ## What We Are Looking For - 5+ years of experience in product management, with a focus on data products - Strong background in data analysis, data modeling, and data visualization - Experience working with cross-functional teams, including data engineers, data scientists, and analysts - Excellent communication and stakeholder management skills - Ability to work in a fast-paced environment, with a focus on delivering high-value features - Strong understanding of the life sciences industry, including trends, challenges, and opportunities - Experience with data governance, data quality, and data security - Strong problem-solving skills, with the ability to think creatively and outside the box ## Nice to Have - Experience with cloud-based data platforms, such as AWS or Google Cloud - Knowledge of data engineering principles, including data ingestion, processing, and storage - Familiarity with data science tools, such as Python, R, or SQL - Experience with Agile development methodologies, such as Scrum or Kanban - Certification in data science, data engineering, or a related field ## Benefits and Perks - Competitive salary and benefits package - Opportunity to work with a leading company in the life sciences industry - Collaborative and dynamic work environment - Flexible work arrangements, including remote work options - Professional development opportunities, including training and education programs - Access to cutting-edge technology and tools - Recognition and reward programs, including bonuses and stock options - Comprehensive health and wellness programs, including mental health support - Generous PTO and vacation policies,

- Tip: Develop a strong understanding of the life sciences industry, including trends, challenges, and opportunities, to increase your chances of success in this role.

• Be prepared to provide specific examples of your experience with data product development, including your approach to stakeholder management and communication.
• Showcase your ability to work with cross-functional teams, including data engineers, data scientists, and analysts, and highlight your experience with Agile development methodologies.
• Consider highlighting any experience you have with cloud-based data platforms, data engineering principles, or data science tools, as these are valuable skills in this role.
• Be prepared to discuss your approach to data governance, data quality, and data security, and provide examples of how you have implemented these principles in previous roles.
• Research the company's values and mission, and be prepared to discuss how your skills and experience align with these principles.
• Prepare to talk about your experience with data analysis, data modeling, and data visualization, and be ready to provide examples of how you have used these skills to drive business decisions.