Desired Qualifications:

• Desired 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.