Life Sciences Solutions Engineer (Commercialization)

Deloitte • Tampa, FL

3d • $134,500 - $265,100

About The Position

Deloitte is seeking a visionary, results-oriented professional to help lead its Life Sciences Commercial Operations practice, specializing in AI-powered solutions. The role focuses on life sciences commercial operations and data, including CRM platforms such as Veeva and Salesforce; Customer MDM structures such as Reltio and Informatica; IQVIA data; claims and specialty pharma data; governance; targeting and segmentation; call and brand planning; and business intelligence. The position contributes to go-to-market strategy, leads client engagements, builds teams, and fosters practice innovation.

As part of the AI & Data team, the role leads delivery of AI and data engagements for life sciences and pharmaceutical clients, particularly in commercial AI, data transformation, analytics, and digital enablement. It translates commercial business challenges into scalable solutions, advises clients on governance and adoption, and works across strategy, product, data, engineering, and client stakeholders. The position also manages engagement delivery and supports business development, team development, and practice growth.

The role is available in 33 U.S. locations. Travel may be required up to 50% on average. Recruiting for this role ends on November 30, 2026.

Requirements

• At least 6 years of relevant professional experience, including at least 4 years in life sciences commercial operations and a proven record delivering AI, analytics, and data solutions for pharma or biotech clients.
• At least 4 years of hands-on experience with life sciences commercial data, such as CRM platforms (Veeva or Salesforce), Customer MDM structures (Reltio or Informatica), IQVIA data, claims data, and specialty pharma data.
• At least 4 years of life sciences consulting experience driving commercial transformation and innovation, including data and AI for customer engagement, field force excellence and operations, Customer 360, and Sales & Marketing.
• At least 2 years of hands-on experience with the commercial data landscape, CRM systems, sales force enablement technologies, emerging technologies such as GenAI, and advanced data architectures such as multimodal data management and model design, Data Mesh, Data Fabric, or Data Products.
• At least 2 years of experience with AI/ML techniques and their application to commercial use cases such as dynamic targeting, segmentation, next best action, and forecasting.
• At least 2 years of experience prioritizing AI use cases, developing delivery roadmaps, and planning resources to accelerate project delivery.
• At least 2 years of experience leading and managing complex projects, budgets, and teams, including delivery teams across multiple locations.
• Bachelor’s degree.
• Ability to travel up to 50% on average, based on the work and clients and industries/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).
• Working knowledge of data governance practices for commercial data.
• Experience understanding and communicating clients’ strategic business drivers and operational process requirements, and linking business requirements to AI and data capabilities.
• Experience creating client workshop collateral and leading interactive working sessions.
• Experience presenting technical content to large and small audiences.

Responsibilities

• Lead delivery of AI and data engagements for life sciences and pharmaceutical clients, emphasizing commercial AI, data transformation, analytics, and digital enablement.
• Shape and deliver commercial use cases in account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, sales and marketing optimization, next best action, and forecasting.
• Translate commercial business problems into scalable AI, data, and digital solutions using CRM, Customer MDM, IQVIA, claims, and specialty pharma data.
• Work with strategy, product, data, engineering, and client stakeholders to define solution approaches and delivery plans.
• Advise clients on data governance, operating model implications, business value, roadmap sequencing, and adoption for AI-enabled commercial transformation.
• Lead engagement planning, staffing, and team mobilization; manage budgets, timelines, quality, and engagement risk.
• Define deliverable structure and content for assigned workstreams.
• Manage day-to-day interactions with client leads and senior stakeholders and facilitate buy-in for proposed solutions.
• Support business development through pursuit support, proposal development, solution materials, and pricing input.
• Coach and develop practitioners through counseling, staffing input, recruitment, and delivery team leadership.
• Lead workshops, executive presentations, and stakeholder sessions.
• Contribute to practice, offering, and go-to-market development.

Benefits

• Employees are offered a broad range of benefits; specific benefits are not detailed in the posting.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and individual and organizational performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager