AI & Data Practice Lead

Role Overview

• Develop and execute the AI & Data GTM strategy for Life Sciences clients, with a focus on GenAI, Agentic AI, predictive analytics, and data modernization.
• Build a robust pipeline for AI-driven initiatives, including clinical trial analytics, sales effectiveness, patient intelligence, real-world evidence platforms, and intelligent automation for regulatory processes.
• Drive commercial excellence by achieving Revenue, Gross Margin, and Net Margin targets for AI & Data engagements.
• Engage C-level executives and senior stakeholders to define AI and data transformation roadmaps, including GenAI adoption and agent-based automation.
• Consult clients on AI & Analytics solutions, data strategy, AI governance, and responsible AI frameworks.
• Identify new opportunities for AI-powered solutions in areas like drug discovery acceleration using GenAI, clinical trial optimization with predictive analytics, and commercial effectiveness across HCPs, Patients, and Payers.
• Deliver executive-level presentations showcasing AI-driven business impact.
• Translate complex business challenges into AI/ML solution architectures, leveraging Generative AI for scientific literature summarization and molecule design, and Agentic AI for autonomous workflows in clinical operations.
• Design end-to-end AI ecosystems integrating data engineering, data science, and visualization platforms.
• Drive data modernization programs, including migration to cloud-native data platforms (Snowflake, Databricks, AWS, Azure) and implementation of data governance, lineage, and compliance frameworks.
• Champion AI ethics, model explainability, and compliance with FDA/EMA regulations.
• Partner with data scientists, ML engineers, and GenAI specialists to deliver high-impact AI solutions.
• Collaborate with technology alliances (AWS, Azure, Snowflake, Databricks) to enhance AI solution value.
• Build and mentor a high-performing AI & analytics team focused on Life Sciences.

Requirements

• Bachelor’s/master’s degree in engineering, Data Science, Statistics, Mathematics, or MBA from a top-tier institution.
• 15+ years of experience in Data/Analytics/AI consulting or client engagement roles.
• 8+ years of experience working with or consulting for pharma, biotech, or healthcare clients.
• Proven track record in GenAI, Agentic AI, and Data Modernization solution delivery, client management, and strategic consulting.
• Deep understanding of Life Sciences analytics use cases, including drug discovery & molecule design using AI, clinical trial optimization & patient stratification, and commercial analytics & market access.
• Familiarity with clinical data standards (CDISC), regulatory frameworks, and pharmacovigilance analytics.
• Strong executive presence with the ability to engage and influence CXO-level stakeholders.
• Cultural awareness, especially with Life Sciences stakeholders.
• Excellent communication & presentation skills, with the ability to present at industry forums.
• Confidence and comfort operating across product, engineering, sales, and customer groups.
• High-hustle quotient with a proactive, persistent, and entrepreneurial orientation.

Tech Stack

• AWS
• Azure
• Cloud