Life Sciences Data Management, Senior (MDM/DGov)

Responsibilities: Support AI & Data engagements for Life Sciences/Pharma with focus on commercial analytics Build and deliver commercial use cases (account-based selling, segmentation, targeting, call planning, forecasting) Acquire, profile, and analyze CRM (Veeva, Salesforce), IQVIA data, claims, and specialty pharma data; map to Customer MDM structures Develop, test, and document analytic and AI/ML models for scalable solutions Create dashboards and BI reports to convert insights into decisions for field teams Apply data governance and data quality practices to commercial data Collaborate with strategy, product, data, engineering, and client stakeholders on approach and delivery Prepare client-ready deliverables, materials, and presentations Support pursuits and proposals; contribute to practice assets; mentor junior practitioners Lead projects/workstreams and manage multiple tasks in a fast-paced environment

Key requirements: 4+ years in analytics, AI/ML, or data solutions; 3+ years in Life Sciences commercial operations 2+ years experience with Life Sciences commercial data and Customer MDM structures 2+ years experience with analytics/AI/ML for commercial use cases 2+ years SQL and Python (or R) experience 2+ years experience leading project workstreams or teams in multiple locations Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or related field Ability to travel up to 50% (varies by client) Limited immigration sponsorship may be available Independence and team collaboration Strong written and verbal communication Attention to detail and quality of work SQL Python (or R) AI/ML for commercial use cases (segmentation, targeting, forecasting)