Data Manager

Cb • St Paul, MN

8d

About The Position

We are seeking a Data Manager with 4-7 years of experience in data management, data analytics, data engineering, or related fields. The ideal candidate will possess strong product leadership skills, the ability to thrive in ambiguity, and a deep understanding of data systems including pipelines, warehousing, modeling, metadata, and governance. This role requires proficiency in collaborating with data architecture, data engineering, and data science teams, and the ability to translate complex technical concepts into business-friendly language. Excellent communication, prioritization, and stakeholder management skills are essential. Experience with analytics tools such as dbt, Looker, Tableau, Power BI, and Google Analytics is highly desired, as is an understanding of large organizational data sharing constraints and agreements. Proficiency in SQL, data lakes, data pipelines/ETL, and significant experience with Databricks are required. Familiarity with Java and Python, background in building internal platforms or developer-facing products, experience implementing modern data architectures, and experience in a highly regulated industry performing statistical analysis and reporting are also valuable.

Requirements

• 4–7 years of experience in Data management, data analytics, data engineering, or related fields.
• Demonstrated Product leadership skills and ability to work in ambiguity.
• Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
• Proficiency collaborating with data Architecture, data engineering and data science teams.
• Ability to translate complex technical concepts into business-friendly language.
• Strong communication, prioritization, and stakeholder management skills.
• Experience with SQL, data lakes, data and data pipelines / ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer facing products.
• Experience in implementing modern data architectures at an organization.
• Experience in a highly regulated industry performing statistical analysis and reporting.

Nice To Haves

• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of large organizational data sharing constraints and data sharing agreements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed