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The Data Product Manager will define the vision and roadmap for data products while partnering with engineering and business teams to ensure scalable, high-value outcomes. They will lead the end-to-end lifecycle of data products, ensuring data quality, governance, and alignment with organizational priorities.
This is a remote position.
| Skills |
Required/Preferred |
Years |
Candidate Experience |
| Experience in Data management, data analytics, data engineering, or related fields. |
5+ |
||
| Demonstrated product leadership skills and ability to work in ambiguity. |
5+ |
||
| Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance. |
5+ |
||
| Proficiency collaborating with data Architecture, data engineering and data science teams. |
5+ |
||
| Ability to translate complex technical concepts into business-friendly language. |
5+ |
||
| Strong communication, prioritization, and stakeholder management skills. |
5+ |
||
| Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics). |
5+ |
||
| Understanding of large organizational data sharing constraints and data sharing agreements. |
5+ |
||
| Experience with SQL, data lakes, data and data pipelines / ETL. |
5+ |
||
| Significant experience with Databricks. |
5+ |
||
| Familiarity with Java and Python. |
5+ |
||
| Background in building internal platforms or developer facing products. |
5+ |
||
| Experience in implementing modern data architectures at an organization. |
5+ |
||
| Experience in a highly regulated industry performing statistical analysis and reporting. |
5+ |
Paid Sick Time
Insurance for Medical, Dental, Vision and Life Available
401(k) including Employer Match
HSA, Short-term & Long-term Disability Available
We are an EEO/Veterans/Disabled employer
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