Engagement Lead - Incentive Compensation

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. Were a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey What we are looking for As the Engagement Lead, you ll leverage data to unravel complexities and be adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you ll do: End-to-End IC Process Management: Oversee and execute the entire incentive compensation process from sales crediting and IC plan design to goal setting and bonus calculations. Develop and maintain the input files for the IC system, including raw sales data, goals,alignment, and eligibility criteria. Work closely with US HC clients to understand deliverable requirements, ensuring accuracy and timeliness in every report Collaborate with cross-functional teams to refine IC processes and integrate best practices, driving operational excellence Produce client-ready deliverables such as IC reports, scorecards, HQ reports, and other key outputs. Must have: Candidates with a bachelors degree in engineering and 5+7 years of strong analytics experience Strong analytical skills with a keen eye for detail to ensure data integrity and process accuracy Solid understanding of sales crediting, IC plans, goal setting, and bonus calculation methodologies. Proven experience in creating input files for IC systems including raw sales, goals, alignment, and eligibility data and generating polished output files (IC reports, scorecards, HQ reports). Experience with IC design principles and Health Check processes, including fairness testing, financial modelling, and Monte-Carlo simulations