Job Description Insight Global's top pharmaceutical client is CRM Lead to partner closely with the Commercial AI Product Team to support AI-powered Digital Assistants for Field Representatives, Medical Science Liaisons (MSLs), Key Account Managers (KAMs), and other personas. This role blends CRM platform leadership (Salesforce/Veeva CRM), AI product enablement, agile delivery, and front-end UI expertise. They will lead Lead end-to-end requirements gathering and analysis for CRM and AI-enabled use cases, lead in Agile Product delivery, Manage cross functional stakeholders, and Influence design of AI-driven front-end experiences. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 8+ years of experience in CRM or customer engagement platforms. Strong Salesforce and/or Veeva CRM experience. Strong analytical and communication skills. Ability to manage multiple priorities with professionalism. Life Sciences industry experience preferred. Agile / SDLC project management experience preferred. Salesforce and/or Veeva CRM configuration and integrations. HTML, CSS, JavaScript, TypeScript React, state management, design systems REST / GraphQL APIs Streaming AI responses AI prompt/response structures, embeddings, token limits