The Senior Data Solutions Consultant partners with cross-functional teams to design, build, and optimize scalable data solutions that support omnichannel marketing, analytics, and AI-enabled products for life sciences clients. This role collaborates closely with analytics, engineering, project management, and client stakeholders to transform complex datasets into reliable, production-ready data assets that drive measurable business outcomes. Success in this role requires expertise in Python, SQL, ETL development, enterprise data platforms, and modern business intelligence technologies. What You'll Do Build analytics products including business intelligence dashboards, system integrations, data outputs, presentations, and AI-enabled solutions using platforms such as Power BI, Microsoft Fabric, and Tableau. Develop, maintain, and optimize enterprise data warehouse solutions, preferably in Snowflake, while ensuring data quality, reliability, scalability, and performance. Design, develop, and optimize scalable ETL pipelines using Python and SQL to support analytics, reporting, AI solutions, and client deliverables. Collaborate with data analysts, project managers, business analysts, and client stakeholders to gather technical requirements, define solution architecture, and deliver measurable business outcomes. Standardize and improve engineering practices through reusable code, Git version control, documentation, SOP development, and scalable data engineering processes that support operational excellence.