Senior Engagement Lead - Technology (San Jose)

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Senior Engagement Lead - Technology to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets like LAAD, DDD, XPO, and enjoy working with complex data sets to help clients solve real-world problems. You will play a key role in driving business performance, navigating risks, and developing pragmatic strategies through data-driven insights. What you’ll do ▪ Lead Data Management Projects: Drive end-to-end data engineering and BI solution delivery for multiple clients, ensuring timely execution and adherence to project plans ▪ Data Integration & Visualization: Build integrated data solutions and visualizations using tools like Tableau/Power BI to support impactful business storytelling. ▪ Client Engagement & Solution Design: Collaborate with clients to understand business challenges and deliver customized analytics solutions with high-quality UX/UI design. ▪ Data Governance & Security Compliance: Ensure analytics solutions align with data governance, quality, and security frameworks. ▪ Cross-Functional Collaboration: Work closely with internal teams to align technical implementations with business goals and ensure seamless solution delivery. Must have ▪ Experience: 8–10 years in pharma technology consulting, with at least 6 years of U.S. project exposure and direct client interaction. ▪ Technical Expertise: Proficient with ETL tools (ADF, Databricks, Informatica), data workflow tools (Airflow, Azkaban), and storage systems (SQL/NoSQL, Snowflake, Redshift). ▪ BI Tools & Visualization: Strong hands-on experience in building dashboards and BI solutions using Tableau and Power BI. ▪ Data Strategy Knowledge: Solid understanding of data governance, quality frameworks, and experience designing enterprise data warehouse solutions. ▪ Communication & Problem-Solving: Excellent presentation, analytical thinking, and stakeholder management skills