Build business cases with clear expected benefits, costs, and success measures; Own delivery end to end - leading data scientists, engineers, UX designers, and vendors through design, build, evaluation, and production deployment, including integration with CRM/account platforms (e.g., Salesforce Life Sciences Cloud, Veeva), contract and rebate management systems (e.g., Model N, Vistex, SAP), and cloud data platforms (e.g., Snowflake, Databricks, Azure) - making key build and release decisions tied back to the business case. These responsibilities include some of the following: Identify where AI and agentic technology can create the most value across enterprise account management, organized provider account systems (e.g., IDN/health system account planning, affiliation and hierarchy mapping, formulary and pathway monitoring), pricing, contracting, chargeback and rebate processing, trade and channel management (wholesaler, distributor, specialty pharmacy, 340B), and payer engagement --- weighing impact, feasibility, and risk to prioritize investment.