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Roles › Chief Executive Officer › Chief Data (& Analytics) Officer › Data Product & Enablement
Product

What does a Data Product Manager do?

Decides what the data org builds, keeps delivery on track, and teaches the company to use data.

Steady demand Team: Data Product & Enablement Reports into: Chief Data (& Analytics) Officer

What they actually do

Hiring demand

Steady demand. Regular postings, but fewer than the busiest roles. Expect a longer search or more specialization.

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Who they work with

Every data teamBusiness stakeholdersHR / L&D

Typical tools

Jira / AsanaRoadmapsConfluenceLMS

Skills to get there

Title ladder

Common titles for this role at each level. Companies vary; see Role titles decoded.

LevelTypical titles
EntryJunior / Associate Data Product Manager · Data Product Manager I
MidData Product Manager · Data Product Manager II
SeniorSenior Data Product Manager · Lead Data Product Manager
Expert (IC track)Staff / Principal Data Product Manager
Management trackManager, Data Product & Enablement → Director of Data Product & Enablement → VP
See the free training path →

See current openings

Searching for: Data Product Manager · anywhere in the US · change

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Opens the job board's own search; results and counts are theirs.

How to get here

Salary (US) as of 2026-11

Median$150K
Typical range$121K–$189K
Senior / manager$258K

Sources:

No BLS code for PMs; 11-3021 is the proxy. Senior figure is Levels.fyi's Technical PM median, the closest title. Internal data-platform PM roles at non-tech firms sit near the Glassdoor median.

Experience to get here

Entry level2-4 years as an analyst, analytics engineer or PM
Typical title4-7 years; senior postings ask 5+ years PM with 2+ on data products

Bachelor's typical, any field; no credential expected. Technical credibility (SQL, pipelines, warehouse concepts) matters more than degree or certification.

Typical prior roles

Senior Data AnalystAnalytics EngineerProduct ManagerData EngineerBI / Reporting lead

Must have

Milestones people hit first

Certifications

Nice to havein postings: sometimes
Exam fee$200
Trainingoptional course; free Product Owner Open assessment
Renewal$0; lifetime
Typical total$200

Time: 1-3 weeks
Prerequisites: none; 85% pass mark

Data platform teams often run as scrum teams; a cheap signal that you can own a backlog.

Nice to havein postings: rarely
Exam fee$311
TrainingDAMA-DMBOK2 self-study (book price not published by the vendor)
Renewalannual maintenance fee (amount not published) + attestation
Typical total$311-600

Time: 2-4 months
Prerequisites: none; 60% pass mark

Gives data PMs the metadata/governance vocabulary that senior data-product postings list as a differentiator.

Nice to havein postings: rarely
Exam fee$200
TrainingDatabricks Academy self-paced
Renewalvalid 2 years
Typical total$200-400

Time: 4-6 weeks
Prerequisites: none

Platform literacy for PMs owning a lakehouse; not a hiring filter.

Nice to havein postings: rarely
Exam feenot published
Training3 on-demand or live courses; per-course price not shown (bundle saves $200)
Renewal$0
Typical totalpricing on request

Time: about 7 hours per course
Prerequisites: none

Structured PM fundamentals for analysts who have never written a roadmap.

Training & learning

Sources & notes

No certification is 'often' or required: the MongoDB senior data PM posting lists none and emphasizes platform knowledge and adoption. Pragmatic prices not published by the vendor. Glassdoor is the only title-specific salary source; others are PM proxies.

Figures are US, from the sources listed, and change often; verify before deciding.

Related roles

See it on the org chart

Open Data Product & Enablement in the interactive chart →