Life Sciences Data Management, Senior (MDM/DGov)

Deloitte • Tampa, FL

3d • $116,200 - $229,100

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 life sciences with hands-on analytics, AI/ML, and data skills to help pharmaceutical clients transform commercial operations. The Senior Consultant contributes to client engagements, develops AI and analytics solutions, and works with high-performing teams.

As a Data Management Engineer III on the AI & Data team, this position supports life sciences and pharmaceutical client engagements, with emphasis on commercial AI, analytics, and data transformation. Work includes building commercial use cases, analyzing CRM, IQVIA, claims, and specialty pharmaceutical data, developing analytical and AI/ML models, creating business intelligence reporting, and applying data governance and quality practices. The role collaborates with strategy, product, data, engineering, and client stakeholders; prepares client deliverables and presentations; supports proposals; contributes to practice assets; and mentors 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. Recruiting for this role ends on 11/30/2026. The role may require travel up to 50% on average. The estimated salary range is $116,200 to $229,100, and the role may also be eligible for a discretionary annual incentive program.

Requirements

• 4+ years of professional experience in analytics, AI/ML, or data solutions, including 3+ years in life sciences commercial operations (consulting, pharmaceutical, or commercial analytics).
• 2+ years of hands-on experience with life sciences commercial data, such as CRM (Veeva, Salesforce), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, and specialty pharmaceutical data, with working knowledge of Customer MDM data structures (Reltio, Informatica, etc.).
• 2+ years of experience using analytics or AI/ML for commercial use cases such as segmentation, targeting, call planning, next best action, or forecasting.
• 2+ years of experience with SQL and Python or R for data analysis and modeling.
• 2+ years of 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 and clients and industries/sectors 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.
• Ability to mentor and provide clear guidance to others.

Nice To Haves

• 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 such as Data Mesh, Data Fabric, and 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, emphasizing 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 support 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 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 project workstreams or teams and manage multiple tasks in a fast-paced environment.

Benefits

• Broad range of employee benefits.
• Potential eligibility for a discretionary annual incentive program.
• Opportunities for professional development, including on-the-job learning, formal development programs, mentorship, and leadership opportunities.

What This Job Offers

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