Senior Product Manager - Compass

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 $2B 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

As a Product Manager on the Veeva Compass team, you will own the design and execution for major components of our Prescriber and National products.

You are excited about the productization of Data Science features and building statistics at scale that can run with quality across billions of records, delivering data sets directly to customers. You’ll work on the productization of the product pipeline and statistical models, such as projection methodologies, anomaly detection, scaling approaches, clustering, and more. This also will include designing features, writing detailed product specifications, and working with the Data Science and Development team to bring designs to fruition.

This is a great opportunity for someone who is excited about healthcare data and product design from the ground up and working to solve a complex problem to deliver quality, reliable data to customers.

What You’ll Do

• Own and design data-focused product features from start to finish, including authoring high-quality design specifications, quality control checks, and data dictionaries as well as managing Jira stories
• Collaborate with other Product Managers and Data Scientists to find meaning in high volumes of data using statistical analysis in an approach that can be productized at scale
• Investigate claims data for data quality and other nuances to inform product features
• Manage feature prioritization and backlog grooming with the Development team
• Support release and sprint planning to ensure product enhancements support customers at the right time and in the right sequence
• Collaborate closely with a team of Data Scientists, Product Managers, and engineers to design and deliver capabilities from prototype to scale, then iterate and enhance

Requirements

• 6+ years of hands-on Product Management, analytics, or data science experience
• Experience working on statistical-driven data products, such as productizing models
• Experience and focus on the elements critical to supporting data science-driven products - reliable inbound data, managing data gaps and variation, data cleansing, and data quality
• Experience implementing statistical models or machine learning algorithms and scaling to “productize” with production-ready insights
• Proficient with SQL and/or Python
• Comfortable working within the AWS environment
• Strong communication skills and ability to work across internal teams
• B.S. or M.S. in Applied Statistics, Mathematics, Computer Science, Machine Learning, or other quantitative discipline
• Experience with prescription and medical claims data required

Perks & Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program

Compensation

• Base pay: $120,000 - $200,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries 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 may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.