Data Product Manager Jobs
28 data pm jobs available
Data Product Manager - Premium Data In Insurance
TEKsystems
Head of Product (Biometrics)
iProov
Data Product Manager
Real Staffing
Data Product Manager - Premium Data
TEKsystems
Data Product Manager
Motability Operations
Senior Product Manager - Data & Insights
MCS Group
Data Product Manager
Motability Operations
Data Product Manager
TEKsystems
Product Manager II - Agent Observability
Datadog
Data Product Owner
J M Group Inc
Product Manager - CCT Customer Care Experience and Platform Insights
Air Canada
Sr. Staff Product Manager, Data and Signals Connectivity
Sr. Product Manager, Data and Signals Intelligence
Data Product Owner
National Bank
Product Manager- Data Platform
Real Staffing
Product Manager- Data Platform
Real Staffing
VP - Data Product Manager
BlackRock
Product Manager, Data & AI
Air Canada
Maximo Mobile Product Manager
Morson Edge
Senior Product Manager, Billing Engine & Platforms Monetization
GitLab
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.