Build and maintain SQL data models, reporting structures, data pipelines, database architectures, and ETL/ELT workflows. Transform and validate enterprise data using Databricks, Snowflake, cloud platforms, Python, and SQL. Partner with stakeholders to translate business needs into scalable analytics solutions, dashboards, and data products. Investigate data quality issues, optimize performance, automate workflows, and apply AI-enabled analytics tools with appropriate security, governance, and human validation.

Client-facing Decision Scientist supporting marketing and analytics teams. Designs scalable data pipelines and architectures, optimizes ingestion, transformation, and feature-engineering workflows, and partners with data scientists, engineers, architects, and business stakeholders to deliver analytical solutions. The role requires translating business needs into technical requirements, communicating insights to technical and non-technical audiences, managing competing priorities, mentoring junior staff, and applying marketing, CRM, and channel analytics expertise.