Life Sciences Solutions Engineer, Senior (Commercialization)
About The Position
Deloitte is seeking a results-oriented professional to join its Life Sciences Commercial Operations practice and build AI-powered solutions for commercial operations. The role combines knowledge of the life sciences industry with hands-on analytics, AI/ML, and data skills to help pharmaceutical clients transform commercial operations. The successful candidate will contribute to client engagements, develop AI and analytics solutions, and work with high-performing teams. As a Data Management Engineer III on the AI & Data team, the professional will support engagements for life sciences and pharmaceutical clients, with an emphasis on Commercial AI, analytics, and data transformation. The work includes commercial use cases involving account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call and brand planning, sales and marketing optimization, next best action, and forecasting. The role also involves working with CRM, IQVIA, claims, and specialty pharmaceutical data; developing analytical and AI/ML models; creating business intelligence reporting; applying data governance and quality practices; collaborating with client and internal stakeholders; preparing client deliverables; supporting proposals; and contributing to practice assets and mentoring junior practitioners. The position is part of Deloitte’s AI & Data practice, which designs, develops, and operates data and AI platforms, products, insights, and services. The role may be based in one of 33 listed U.S. locations and requires the ability to travel up to 50% on average. Recruiting for the role ends November 30, 2026.
Requirements
- At least 6 years of relevant professional experience, including experience in life sciences commercial operations.
- At least 4 years of professional experience in analytics, AI/ML, or data solutions, including at least 3 years in life sciences commercial operations (consulting, pharmaceutical, or commercial analytics).
- At least 2 years of hands-on experience with life sciences commercial data, such as CRM (Veeva or Salesforce), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, and specialty pharmaceutical data, plus working knowledge of Customer MDM data structures such as Reltio or Informatica.
- At least 2 years of experience applying analytics and/or AI/ML to commercial use cases such as segmentation, targeting, call planning, next best action, or forecasting.
- At least 2 years of experience with SQL and Python or R for data analysis and modeling.
- At least 2 years of experience leading project workstreams and/or teams with resources in multiple locations.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
- Ability to travel up to 50% on average, based on work and clients served.
- Ability to work independently and collaboratively as part of a team.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
- Strong interpersonal skills and professional demeanor.
Nice To Haves
- Client-facing consulting experience, including working with teams across multiple locations.
- Experience with cloud computing platforms, including AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with emerging technologies such as GenAI and advanced data architectures such as Data Mesh, Data Fabric, or Data Products.
- Experience with Business Intelligence and visualization tools such as Power BI or Tableau.
- Experience translating business needs into data and analytical requirements and communicating clearly with technical and non-technical audiences.
- Experience with data governance and regulatory and compliance considerations in life sciences data privacy and security.
Responsibilities
- Support AI & Data engagements for life sciences and pharmaceutical clients, particularly in Commercial AI, analytics, and data transformation.
- Build and deliver commercial use cases across account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, sales and marketing optimization, next best action, and forecasting.
- Acquire, profile, and analyze CRM, IQVIA, claims, and specialty pharmaceutical data, and understand how Customer MDM structures feed commercial analytics.
- Develop, test, and document analytical and AI/ML models that translate commercial business problems into scalable solutions.
- Build dashboards and Business Intelligence reporting to turn insights into decisions for field and brand teams.
- Apply data governance and data quality practices to commercial data used in analytics and AI solutions.
- Collaborate with strategy, product, data, engineering, and client stakeholder groups to shape solution approaches and delivery plans.
- Prepare client-ready deliverables, workshop materials, and presentations.
- Support pursuits and proposal content as needed.
- Contribute to practice assets and accelerators, and mentor junior practitioners.
- Lead projects or workstreams and provide clear guidance to others.
Benefits
- Broad range of employee benefits; specific benefits are not listed.
- Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and relevant factors.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
