Data Product Manager Sample CVs
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What makes a strong Data Product Manager CV
- Describe data products owned: dashboards, data APIs, analytics platforms, self-serve BI tools, data marketplaces
- Highlight data literacy and technical stack: SQL, dbt, Databricks, Snowflake, Tableau, Power BI, Looker
- Specify user research methods: stakeholder interviews, data consumer personas, jobs-to-be-done framework
- Include data quality, governance, and SLA management for data products
- Quantify impact: DAU of data products, decisions driven by data, query volumes, reduction in ad-hoc requests
Key skills employers look for
Data Product Strategy
Data product vision, roadmap, OKRs, use-case prioritisation, build-vs-buy, data marketplace design
Analytics & BI Platforms
Tableau, Power BI, Looker, Sigma — dashboard design, self-serve analytics, embedded analytics
Data Engineering Collaboration
SQL, dbt, Snowflake, Databricks, BigQuery, data pipelines, data modelling, SLAs
User Research & Adoption
Stakeholder interviews, data consumer personas, training, adoption metrics, feedback loops
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