Life Sciences Solutions Engineer (Commercialization)

About the role

Deloitte is recruiting a Life Sciences Solutions Engineer (Commercialization) for its AI & Engineering team, which builds, deploys and operates integrated solutions in software, data, AI, network and hybrid cloud. The role leads the Life Sciences Commercial Operations practice, applying AI and advanced analytics to CRM, customer MDM, IQVIA, claims and specialty pharma data, and covers go-to-market strategy, client engagements, team building and innovation.

Key responsibilities

• Lead delivery of AI and data engagements for Life Sciences / Pharma clients, focusing on commercial AI, data transformation, analytics and digital enablement
• Shape and deliver commercial use cases for account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, sales and marketing optimization, next best action and forecasting
• Translate commercial problems into scalable AI, data and digital solutions built on CRM, Customer MDM, IQVIA, claims and specialty pharma data
• Advise clients on data governance, operating model, business value, roadmap sequencing and adoption of AI-enabled commercial transformation
• Lead engagement planning, staffing, budget, timeline, quality and risk management, and define deliverables for workstreams
• Manage day-to-day interactions with client leads and senior stakeholders, and support business development, proposals and pricing
• Mentor practitioners, coach and develop teams, and run workshops and executive presentations
• Contribute to practice, offering and go-to-market development

Required profile

• 6+ years of relevant experience, including 4+ years in Life Sciences commercial operations with a track record of AI, analytics and data solutions for pharma or biotech clients
• 4+ years of hands-on experience with Life Sciences commercial data (CRM, Customer MDM, IQVIA, claims, specialty pharma)
• 4+ years of Life Sciences consulting experience driving commercial transformation, including data and AI in customer engagement, field force excellence, Customer 360 and Sales & Marketing
• Bachelor's degree
• Able to travel up to 50% on average; limited immigration sponsorship may be available

Required skills

• 2+ years with the commercial data landscape, CRM systems, sales force enablement technologies and emerging technologies such as GenAI, and advanced data architectures (Data Mesh, Data Fabric, Data Products)
• 2+ years with AI/ML techniques applied to dynamic targeting, segmentation, next best action and forecasting
• 2+ years prioritizing AI use cases, developing delivery roadmaps and managing complex projects, budgets and teams
• Preferred: experience with AWS, Azure or GCP