Senior Product Manager - Data Cloud - Toronto Hub

Canada - Toronto

Full Time Senior-level / Expert
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Posted 3 weeks ago

Crossix is a health-focused technology company dedicated to advancing healthcare marketing with analytics and innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Crossix, a Veeva Company, provides our clients with insights to help make strategic business decisions and drive improved patient outcomes. Crossix knows that our employees are integral to our success, which is why we have created an inclusive culture where everyone can thrive. Along with competitive salaries and benefits, we invest in opportunities for career growth, and provide other perks, such as team outings, fitness allowances and professional development. Crossix is headquartered in New York with growing offices in Minsk, Belarus and Kiryat Ono, Israel.  We are also a member of the Belarus Hi-Tech Park.
The Role
As the Senior Product Manager on the Veeva Data Cloud team, you will own the design and execution for major components of our Projected Data Products. You are excited about the productization of Data Science 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 statistical models and approaches, such as sample curation, 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 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 start to finish, including user stories, specifications, quality control checks, and data dictionaries
  • Collaborate with Data Scientists to find meaning in high volumes of data using statistical analysis in an approach that can be productized at scale
  • Author high-quality design specifications within an agile methodology
  • Support release and sprint planning to ensure product enhancements support customers at the right time and the right sequence
  • Collaborate closely with a team of Data Scientists, Product Managers, and Engineering to design and deliver capabilities from prototype to scale, then iterate and enhance


  • 6+ years of hands-on Product Management or related experience, including experience with enterprise data products
  • Experience working on statistical driven data products, such as productizing model
  • 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
  • Comfortable with SQL and/or Python
  • Comfortable (and excited!) about ambiguity, breaking goals down into tangible and actionable work plans, and able to adapt quickly to the evolving requirements of new products
  • Strong communication skills and ability to work across internal teams
  • B.S. or M.S. in Applied Statistics, Mathematics, Computer Science, Machine Learning or another quantitative discipline

Nice to Have

  • Experience with prescription claims data

Perks & Benefits

  • Conveniently located in downtown Toronto
  • Snacks, beverages, and weekly lunches from local restaurants
  • Team events and rec league sports teams
  • Allocations for continuous learning & development
  • Health & wellness programs
  • Weekly yoga classes
  • Ping pong and other games
If this role and our exciting company culture seem appealing to you, please apply! We want to continue to grow our diverse team of hardworking and humble people who are passionate about their work. We hope that’s you!
Job tags: Analytics Engineering Product design Product management Python SQL User stories
Job region(s): North America
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