Life Sciences Solutions Engineer, AVP (Commercialization)

Responsibilities: Lead AI & Data engagements for Life Sciences / Pharma clients, focusing on commercial AI, data transformation, analytics, and digital enablement Shape and deliver use cases across account-based selling, dynamic targeting, segmentation, call planning, and forecasting Translate business problems into scalable AI, data, and digital solutions Coordinate with strategy, product, data, engineering, and client stakeholders to define solutions and delivery plans Advise on operating model implications, value, roadmap sequencing, and adoption for AI-enabled change Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives Define deliverable structure, manage quality, timelines, and engagement risk Maintain day-to-day client relationships and secure buy-in for proposed solutions Lead business development, including client relationships, pursuit leadership, proposals, and pricing input Coach and develop practitioners, including staffing input and delivery leadership Lead workshops, executive presentations, and stakeholder sessions Mentor junior practitioners and contribute to go-to-market development

Key requirements: 8+ years in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation 6+ years in Life Sciences commercial transformation projects 6+ years in Life Sciences commercial data and platforms (CRM, Customer MDM, IQVIA data, claims data, specialty pharma data) 4+ years leading complex technology engagements with dispersed resources 4+ years shaping executive conversations and selling/solutioning data analytics services 4+ years with the sales cycle, including proposals for client discussions Bachelor’s degree in Computer Science, Engineering, Data Science, or AI Ability to travel up to 50% Limited immigration sponsorship may be available Independent working style with strong collaboration Effective written and verbal communication Meticulous attention to detail and quality CRM (Veeva, Salesforce) Customer MDM (Reltio, Informatica) IQVIA data (TRx, NRx, DDD)