Life Sciences Solutions Engineer, Senior (Commercialization)
Recruiting for this role ends on 11/30/2026.
About the role
Deloitte is seeking a results-oriented professional to join our Life Sciences Commercial Operations practice, building cutting-edge, AI-powered solutions for commercial operations. This role specializes in CRM (Veeva, Salesforce) data knowledge, Customer MDM data structures (Reltio, Informatica, etc.), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, specialty pharma data, data governance, dynamic targeting, segmentation, call planning, brand planning, business intelligence, and related areas. The position combines curiosity about the life sciences industry with hands-on skills in analytics, AI/ML, and data to help pharma clients transform their commercial operations. The Senior Consultant will contribute to client engagements, develop AI and analytics solutions, and grow alongside high-performing teams.
Responsibilities
- Support delivery of AI & Data engagements for Life Sciences / Pharma clients, with emphasis on 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 (Veeva, Salesforce), IQVIA (TRx, NRx, DDD, etc.), claims, and specialty pharma 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 that turn insights into decisions for field and brand teams
- Apply data governance and data quality practices to the commercial data used in analytics and AI solutions
- Collaborate with strategy, product, data, engineering, and client stakeholder groups to shape solution approach 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
Skills
- Ability to work independently and collaborate 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 lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to mentor and provide clear guidance to others
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- 6+ years of relevant professional experience, including 4+ years in Life Sciences commercial operations
- 4+ years of professional experience in analytics, AI/ML, or data solutions, including 3+ years in Life Sciences commercial operations (consulting, pharma, or commercial analytics)
- 2+ years hands-on experience with Life Sciences commercial data, such as CRM (Veeva, Salesforce), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, and specialty pharma data, with working knowledge of Customer MDM data structures (Reltio, Informatica, etc.)
- 2+ years experience with analytics and/or AI/ML to commercial use cases such as segmentation, targeting, call planning, next best action, or forecasting
- 2+ years experience with SQL and Python (or R) for data analysis and modeling
- 2+ years experience leading project workstreams and/or project 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 the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred
- Client-facing consulting experience, including working with teams across multiple locations
- Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience with emerging technologies (such as GenAI) and advanced data architectures (i.e., Data Mesh, Data Fabric, Data Products, etc.)
- Experience with Business Intelligence and visualization tools (such as Power BI or Tableau)
- Experience translating business needs into data and analytical requirements and to communicate clearly with technical and non-technical audiences
- Experience with data governance and with regulatory and compliance considerations in life sciences data privacy and security
Pay
A reasonable estimate of the current range is $116,200 to $229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Schedule
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.