Life Sciences Data Management, AVP (MDM/DGov)

Deloitte • Tampa, FL

3d • $171,600 - $383,300

About The Position

Deloitte is seeking a visionary, results-oriented Associate Vice President to lead its Life Sciences Commercial Operations practice, specializing in trusted customer data and AI-powered commercial operations solutions. The role focuses on Customer Master Data Management (MDM), HCP/HCO and affiliation data, CRM data, IQVIA and other commercial data, claims and specialty pharma data, data governance, data quality, and Customer 360. The position helps ensure that commercial activities such as dynamic targeting, segmentation, call planning, brand planning, and business intelligence are supported by accurate, connected, well-governed customer data.

The AVP will develop and execute go-to-market strategy, lead client engagements, build high-performing teams, and foster innovation. As part of Deloitte’s AI & Data practice, the role contributes to designing, developing, and operating data and AI platforms, products, insights, and services that help clients improve and scale their capabilities. Recruiting for this role ends on 11/30/2026.

Requirements

• 8+ years of experience in enterprise data architecture, master data management, data governance, data strategy, and digital transformation.
• 6+ years of experience in Life Sciences commercial data and transformation projects.
• 6+ years of experience with Customer MDM platforms such as Reltio or Informatica and Life Sciences commercial data and platforms, including CRM (Veeva or Salesforce), IQVIA data, claims data, and specialty pharma data.
• 4+ years of experience designing and implementing data governance operating models and frameworks, including data stewardship and data quality.
• 4+ years of experience leading, managing, and delivering complex technology engagements with resources in multiple locations.
• 4+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals.
• 4+ years of experience with the sales cycle, including 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, based on the work and clients and industries or sectors served.
• 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, 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 with Veeva Network / OpenData or IQVIA reference data sources.
• 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 Customer MDM and data governance engagements for Life Sciences and Pharma clients, emphasizing trusted customer data foundations for commercial AI, analytics, and digital enablement.
• Shape and deliver MDM-enabled use cases, including Customer 360, account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, and sales and marketing optimization.
• Define enterprise customer data strategy and target-state architecture across Customer MDM platforms, CRM, IQVIA, claims, and specialty pharma data sources.
• Establish data governance operating models covering ownership, stewardship, policies, standards, data quality metrics, and issue management.
• Advise clients on MDM platform selection, operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation.
• Work with strategy, product, data, engineering, and client stakeholders to define solution approaches and delivery plans.
• Support broader AI & Data pursuits and engagements across Life Sciences as needed.
• Lead engagement planning, budgeting, staffing, and team mobilization for MDM and data governance 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

• Eligibility to participate in a discretionary annual incentive program, subject to its governing rules and applicable factors.
• A broad range of employee benefits.
• Opportunities for on-the-job learning, formal development programs, mentorship, and leadership development.

What This Job Offers

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