Data Manager
About The Position
This role focuses on Data Management, encompassing data analytics, data engineering, and related fields. The ideal candidate will demonstrate product leadership, navigate ambiguity, and possess a strong understanding of data systems including pipelines, warehousing, modeling, metadata, and governance. Collaboration with data Architecture, data engineering, and data science teams is crucial, as is the ability to translate complex technical concepts into business-friendly language. Strong communication, prioritization, and stakeholder management skills are essential. Experience with analytics tools such as dbt, Looker, Tableau, Power BI, and Google Analytics is required, along with an understanding of large organizational data sharing constraints and agreements. Proficiency in SQL, data lakes, data pipelines/ETL, and significant experience with Databricks are necessary. Familiarity with Java and Python, experience building internal platforms or developer-facing products, implementing modern data architectures, and experience in a highly regulated industry performing statistical analysis and reporting are also key.
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 analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
- Understanding of large organizational data sharing constraints and data sharing agreements.
- 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.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
