Job Details

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