Lead, Data Success (Life Sciences)

Prominence Advisors and Tegra Analytics are seeking a Data Success Lead to lead assigned commercial data engagements for life sciences clients. This person will combine strong client-facing skills with hands-on expertise in data warehousing, master data management, data governance, and analytics.

Who We Are

Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight.

We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions.

Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence.

By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter.

Job Summary

The Data Success Lead leads the client relationship and technical delivery for assigned engagements. This person works with clients to define needs, designs sound data and business logic, guides analysts contributing to the work, and ensures deliverables are accurate and well documented.

Working in close partnership with the Director of Data Strategy, the Data Success Lead brings experienced judgment to client and technical decisions. They independently lead their assigned work and help maintain continuity when the Director needs support.

Essential Functions and Responsibilities

Client Engagement and Delivery

• Serve as the day-to-day lead for assigned clients or workstreams, building trust through subject matter expertise, responsiveness, and follow-through.
• Lead working meetings to clarify requirements, explain methodologies and findings, and resolve data questions.
• Plan and coordinate assigned deliverables, including timelines, dependencies, quality review, and communication of risks.
• Bring significant changes in scope, client commitments, or methodology to the Director with a clear recommendation.
  

Commercial Data and Technical Leadership

• Design and review data warehouse models, transformations, and production-ready datasets for assigned solutions.
• Lead healthcare professional (HCP) and healthcare organization (HCO) master data work involving identity resolution, affiliations, specialty, addresses, source precedence, and exception handling.
• Apply data governance practices such as consistent definitions, documented business rules, lineage, and quality controls.
• Evaluate and reconcile prescription, sales, claims, CRM, and reference data for commercial reporting, targeting, territory alignment, and incentive compensation support.
• Develop and review SQL, specifications, analytical methods, and client deliverables.
  

Process Improvement and Quality Control

• Improve recurring processes within assigned engagements through appropriate automation and clear SOPs.
• Establish practical checks for source reconciliation, account changes, eligibility, volume trends, and downstream readiness.
• Investigate material discrepancies with colleagues, clients, and vendors; document causes and coordinate fixes.
• Escalate quality concerns promptly and recommend when an affected deliverable should be corrected or held.
  

Collaboration

• Provide technical guidance and constructive review to analysts contributing to shared projects.
• Share delivery risks, workload concerns, and process improvement ideas with the Director.
• When asked, help resolve immediate blockers or represent Data Success in a meeting to maintain continuity.