Also called: Data Platform Product Manager
Runs data tools and datasets like products, deciding what to build so others in the company can use data easily.
You interview analysts about what slows them down, then plan a new self-serve dashboard tool with the data engineering team. You write the roadmap, set priorities and measure whether people actually use what you ship.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 8 years after high school. Bachelor's in a technical or business field; experience as a data analyst or engineer.
Ways in: 4-year college, On-the-job training. Training cost: $15k – $60k.
Majors to look at: Information Systems, Computer Science, Business Administration.
Growing faster than average (about 6% over 10 years). Tracks product and marketing managers.
Low risk in 5 years, medium in 10. AI speeds building data tools, but deciding what to build for internal users and aligning teams stays human.
Classes: AP Statistics, Business, AP Computer Science Principles.
Official data: O*NET occupation 11-2021.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.