Life Sciences Data Management, Lead (MDM/DGov)

Deloitte•Tampa, FL
•$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 trusted customer data and AI-powered solutions. The role focuses on Customer Master Data Management (MDM), data governance, and commercial data foundations that support dynamic targeting, segmentation, call planning, brand planning, and business intelligence. The successful candidate will contribute to go-to-market strategy, lead client engagements, build high-performing teams, and foster innovation within the practice. As a Lead Data Management Engineer II on the AI & Data team, this professional will lead delivery of Customer MDM and data governance engagements for life sciences and pharmaceutical clients. The role includes shaping commercial use cases, designing MDM solutions and target-state architecture, advising clients on governance models and roadmaps, managing engagement delivery, supporting business development, and coaching practitioners. The position works across strategy, product, data, engineering, and client stakeholders. Travel may be required up to 50% on average. Recruiting for this role ends on November 30, 2026.

Requirements

  • 6+ years of relevant professional experience, including 4+ years in life sciences commercial operations and a track record delivering Customer MDM, data governance, and data solutions for pharma or biotech clients.
  • 4+ years of hands-on experience implementing Customer MDM on Reltio, Informatica, or a comparable platform, including HCP/HCO data models, affiliations, hierarchies, match-and-merge, and survivorship.
  • 4+ years of hands-on experience with life sciences commercial data, such as CRM (Veeva or Salesforce), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, and specialty pharma data.
  • 4+ years of professional life sciences consulting experience driving commercial transformation and innovation, including MDM, data governance, and AI for customer engagement, field force excellence and operations, Customer 360, and Sales & Marketing.
  • 2+ years of experience designing and implementing data governance frameworks, including data stewardship, data quality, and metadata management.
  • 2+ years of experience prioritizing MDM and data governance 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 the work and clients and industries or 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 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, and exposure to AI-assisted data matching and stewardship.
  • Experience with regulatory and compliance considerations in life sciences data privacy and security.
  • Reltio or Informatica certifications.
  • 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 Customer MDM and data governance engagements for life sciences and pharmaceutical clients, emphasizing trusted customer data foundations for commercial AI, analytics, and digital enablement.
  • Shape and deliver MDM-enabled commercial use cases, including Customer 360, account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, and sales and marketing optimization.
  • Design Customer MDM solutions and target-state architecture using platforms such as Reltio and Informatica, mastering HCP, HCO, and affiliation data across CRM, IQVIA, claims, and specialty pharma sources.
  • Guide the design of match-and-merge rules, survivorship rules, data quality rules, and data stewardship workflows.
  • Advise clients on data governance operating models, including ownership, standards, quality metrics, issue management, roadmap sequencing, and adoption considerations.
  • Work with strategy, product, data, engineering, and client stakeholder groups to define solution approaches and delivery plans.
  • Lead engagement planning, staffing, and team mobilization for MDM and data governance initiatives; 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, including individual and organizational performance.
  • A broad range of employee benefits.
  • Opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship, on-the-job learning, and formal development programs.
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