Life Sciences Solutions Engineer, Lead (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 for commercial operations. The role calls for deep life sciences industry knowledge and expertise in AI and advanced analytics to transform commercial operations. The position contributes to go-to-market strategy, leads client engagements, builds high-performing teams, and fosters innovation within the practice.

As a Lead Data Management Engineer II on the AI & Data team, this position leads delivery of AI and data engagements for life sciences and pharma clients, with emphasis on commercial AI, data transformation, analytics, and digital enablement. The role shapes commercial use cases, translates business problems into scalable solutions, advises clients on governance and transformation, and coordinates across strategy, product, data, engineering, and client stakeholders. It also manages engagement delivery and client relationships, supports business development, develops practitioners, and contributes to practice and offering growth.

The AI & Data practice designs, develops, and operates advanced data and AI platforms, products, insights, and services to help clients innovate, enhance, and scale their data, AI, and analytics capabilities. The role may be filled in one of 33 listed U.S. locations and requires the ability to travel up to 50% on average, depending on the work and clients served. Recruiting for this role ends on 11/30/2026. The current estimated wage range is $134,500 to $265,100; employees may also be eligible for a discretionary annual incentive, subject to program rules and applicable factors.

Requirements

• 6+ years of relevant professional experience, including 4+ years in life sciences commercial operations and a track record delivering AI, analytics, and data solutions for pharma or biotech clients.
• 4+ years of hands-on experience with life sciences commercial data, such as CRM (Veeva or Salesforce), Customer MDM data structures (Reltio or Informatica), IQVIA data structures (TRx, NRx, DDD), claims data, and specialty pharma data.
• 4+ years of professional life sciences consulting experience driving commercial transformation and innovation, including data and AI in customer engagement, field force excellence and operations, Customer 360, and Sales & Marketing.
• 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, and Data Products.
• 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.
• 2+ years of experience prioritizing AI use cases, developing delivery roadmaps, and planning resources to accelerate project delivery.
• 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 assigned work and clients.
• 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 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.
• Limited immigration sponsorship may be available.

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 client strategic business drivers and operational process requirements, then linking business requirements to AI & Data capabilities.
• Experience creating client workshop collateral and leading interactive working sessions.
• Experience presenting technical content to both large and small audiences.

Responsibilities

• Lead delivery of AI and data engagements for life sciences and pharmaceutical clients, focusing on commercial AI, data transformation, analytics, and digital enablement.
• Shape and deliver commercial use cases involving 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 stakeholder groups to define solution approaches and delivery plans.
• Advise clients on data governance, operating model implications, business value, roadmap sequencing, and adoption considerations 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

• Discretionary annual incentive program, subject to program rules and applicable factors.
• Broad range of employee benefits (specific benefits are not listed).
• Opportunities to build new skills, take on leadership opportunities, and grow through mentorship and formal development programs.

What This Job Offers

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