Data Product Manager Jobs
23 data pm jobs available
Data Product Owner, Manager - Macquarie Group
Macquarie Group
Data Product Owner
Robert Half Limited
Data Product Owner
Robert Half Limited
Product Manager - Article (Product Data) Management
Sainsbury's
Data Product Owner
Robert Half
Data Product Owner
Robert Half Limited
Data Product Owner
Robert Half
Senior Data Product Manager
Capital One UK
Senior Data Product Manager
Capital One UK
Senior Data Product Manager
Capital One UK
Senior Data Product Manager
Capital One UK
Senior Data Product Manager
Capital One UK
Product Owner - Finance and Corporate Data
Motability Operations
Data Product Manager
Harnham - Data & Analytics Recruitment
Data Product Manager (Databricks)
Harnham - Data & Analytics Recruitment
Data Product Manager
Harnham - Data & Analytics Recruitment
Product Manager, Data
Air Canada
BI Product Manager
Robert Walters
BI Product Manager
Robert Walters
Product Owner - Finance and Corporate Data
Motability Operations
Frequently Asked Questions
What does a Data Product Manager do?
Data PMs build products that help organizations understand and use their data - analytics platforms, BI tools, dashboards, data pipelines, and ML infrastructure. They work closely with data engineers and data scientists to create scalable data solutions. Key focus areas include data quality, accessibility, and enabling data-driven decisions.
What skills do Data Product Managers need?
Data PMs need strong SQL skills, understanding of data warehousing concepts, and familiarity with BI tools (Looker, Tableau, Amplitude). Knowledge of data modeling, ETL pipelines, and basic statistics is important. Experience with data governance, privacy, and compliance (GDPR, CCPA) is increasingly valuable.
What is the salary for Data Product Managers?
Data PM salaries are typically 10-15% higher than general PM roles. Mid-level: $145,000-$195,000. Senior: $190,000-$270,000+. Companies like Snowflake, Databricks, and Amplitude offer premium compensation for data PMs. The role is in high demand as companies invest more in data infrastructure.