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 highly skilled Associate Engagement Lead - Technology with a strong understanding of the pharmaceutical industry and hands-on experience working with complex datasets (e.g., LAAD, DDD, XPO). In this role, you will deliver data-driven insights to solve real-world business problems, enhance performance, and manage risk. You will also lead transformation initiatives, including software modernization and cloud infrastructure migration projects. What you will do Lead cloud transformation initiatives by assessing client IT landscapes, building business cases, and executing software modernization and infrastructure migrations across AWS, Azure, and GCP. Drive end-to-end project delivery, managing cross functional teams and overseeing all phases from planning to execution with a focus on scalability and impact. Design and implement secure, compliant cloud solutions, staying ahead of emerging technologies and aligning architectures with industry best practices. Translate business requirements into technical strategies, delivering actionable solutions that address real-world challenges and maximize business value. Build and maintain strong client partnerships, ensuring high-quality service delivery while aligning solutions with strategic goals. Must Have 3-5 years in pharma technology consulting, with at least 2 years in the U.S. 2+ years of experience in cloud platforms (AWS, GCP, Azure) and client service delivery. Strong programming skills in Java, C#, Spark, PySpark, and Unix shell/Perl scripting; DevOps experience on

AWS. AWS

Solutions Architect - Professional certification (preferred), along with AWS Big Data and AI/ML certifications. Advanced degree (MBA or Master's in Engineering) with a strong academic record, plus expertise in metadata management tools (Data Governance, MDM, etc. k74J9sK19D