Life Sciences Solutions Engineer, AVP (Commercialization)
About The Position
Deloitte is seeking an Associate Vice President to lead its Life Sciences Commercial Operations practice, specializing in AI-powered commercial operations solutions. The role calls for deep life sciences industry knowledge and expertise in commercial data, platforms, AI, and advanced analytics. The successful candidate will develop and execute go-to-market strategy, lead client engagements, build high-performing teams, and foster innovation within the practice. The role leads AI and data engagements for life sciences and pharmaceutical clients, with an emphasis on commercial AI, data transformation, analytics, and digital enablement. It involves translating business problems into scalable solutions; advising clients on business value, operating models, roadmaps, and adoption; managing engagement delivery and executive relationships; driving business development; and developing practitioners and the broader practice. The position is available in multiple U.S. locations and recruiting ends November 30, 2026. Travel may be up to 50% on average.
Requirements
- At least 8 years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation.
- At least 6 years of experience in life sciences commercial transformation projects.
- At least 6 years of experience with life sciences commercial data and platforms, such as CRM (Veeva or Salesforce), Customer MDM (Reltio or Informatica), IQVIA data (TRx, NRx, DDD), claims data, and specialty pharma data.
- At least 4 years of experience leading, managing, and delivering complex technology engagements with resources in multiple locations.
- At least 4 years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals.
- At least 4 years of experience in the sales cycle, framing client opportunities, participating in pursuit teams, and creating proposal content for client discussions.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or Artificial Intelligence.
- Ability to travel up to 50% on average, depending on work, clients, and industries or sectors served.
- Ability to work independently and collaboratively.
- 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, dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to mentor and provide clear guidance to others.
Nice To Haves
- Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Experience leading executive presentations and client workshops for technical and non-technical audiences.
- Experience developing proposals or solution materials for data and analytics professional services engagements.
- Experience creating client-facing materials for workshops and interactive sessions.
- Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence.
Responsibilities
- Lead AI and data engagements for life sciences and pharmaceutical clients, emphasizing commercial AI, data transformation, analytics, and digital enablement.
- Shape and deliver 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 business problems into scalable AI, data, and digital solutions.
- Work across strategy, product, data, engineering, and client stakeholder groups to define solution approaches and delivery plans.
- Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation.
- Support broader AI and data pursuits and engagements across life sciences as needed.
- Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives.
- Define deliverable structure and content, and manage quality, timelines, economics, and engagement risk.
- Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions.
- Lead business development, including client relationship development, pursuit leadership, proposal development, and pricing strategy input.
- Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership.
- Lead workshops, executive presentations, and stakeholder sessions.
- Mentor junior practitioners and contribute to practice, offering, and go-to-market development.
Benefits
- Employees are offered a broad range of benefits.
- May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
- Opportunities for on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
