Associate Engagement Lead - Technology

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?

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.

• 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.

• 3–5 years in pharma technology consulting
  , with atleast 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
  , Py Spark , and Unix shell/Perl scripting
  ; Dev Ops 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.)