Compensation Overview

Responsibilities:

• Collaborating cross-functionally, prioritize and define requirements for data needed from internal and external sources to support analytics and decision making.
• Work with engineering teams to capture and deliver required data to the Data Platform while also meeting multi-dimensional standards for data quality.
• Lead the definition of a Unified Data Model that serves as the foundation for the single source of truth for all product, customer and reference data used for BI & analytics.
• Prioritize and facilitate development of data products and tooling for our internal customers who need data for analytics including product, analytics, engineering, sales, marketing, and finance.
• Define ELT/ETL requirements and source to target mappings.
• Define and ensure required data standards are implemented and maintained.
• Define, implement and maintain a data quality program.
• Create and maintain documentation including business glossary, data dictionary, data catalog and data lineage.

Skills & Experience:

• Minimum 5 years of experience in data product management, data engineering, data architecture, analytics, and/or developing data & analytics products.
• Experience managing or contributing to an enterprise data strategy that yields high-quality and robust data to support actionable insights and business decision making.
• Experience with Data Modeling for BI & Analytics.
• Demonstrated history of solving complex problems involving data and technology.
• Experience working with product and engineering teams using an agile framework to prioritize scope, and acquire & integrate new data sources.
• Experience working with streaming data for analytics is a plus.
• Advanced SQL skills; Databricks experience a plus.
• Experience with BI tools such as Tableau, Looker, PowerBI, etc.