[SSF]- Associate Engagement Lead

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.