Lead Data Scientist

Key Responsibilities:

• Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement.
• Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets.
• Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives.
• Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks.
• Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships.
• Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions.
• Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.

Enterprise data capabilities through Azure Databricks, Azure Data Factory, and modern analytics platforms.