Lead, Data Success (Life Sciences)

Prominence Advisors•Columbia, SC

1d•Remote

About The Position

The Data Success Lead leads client relationships and technical delivery for assigned commercial data engagements with life sciences clients. The role combines client-facing leadership with hands-on expertise in data warehousing, master data management, data governance, and analytics. The Lead works with clients to define needs, design data and business logic, guide analysts, and ensure deliverables are accurate and well documented. Working in close partnership with the Director of Data Strategy, the Data Success Lead independently leads assigned work and brings experienced judgment to client and technical decisions. The role also supports continuity when the Director needs assistance. This position is part of an active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand.

Requirements

Bachelor’s degree in Statistics, Mathematics, Computer Science, Analytics, Business, Life Sciences, or a related field, or equivalent professional experience.
At least 5 years of experience with pharmaceutical or biotech commercial data and direct client or business stakeholder engagement.
Strong SQL skills and hands-on experience designing, transforming, reconciling, and validating complex datasets.
Experience with data warehousing, customer master data management, and practical data governance.
Deep familiarity with commercial data vendors and customer reference sources.
Experience working with Rx, sales, and claims data and understanding their cadence, coverage, identity, and quality limitations.
Experience designing business logic, improving recurring processes through automation, and documenting methods through SOPs or technical specifications.
Ability to lead client discussions, manage assigned work, and review analytical output.
Ability to sit or stand at a computer while working remotely and independently from a personal home office.
Willingness to travel for onsite meetings and client engagements as needed.

Nice To Haves

Experience with commercial data sources such as IQVIA, Symphony Health, OneKey, Veeva OpenData, or MedPro.
Experience with SQL Server and cloud-based data platforms such as Snowflake, Databricks, AWS, and Azure.
Experience with ETL tools, Python, VBA, scripting, or other approaches to data and reporting automation.
Familiarity with Power BI, Tableau, Excel, Veeva CRM, or field-facing commercial applications.
Experience with targeting, call planning, incentive compensation, or large-scale customer mastering.

Responsibilities

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 deliverables, timelines, dependencies, quality reviews, and communication of risks.
Bring significant changes in scope, client commitments, or methodology to the Director with a clear recommendation.
Design and review data warehouse models, transformations, and production-ready datasets.
Lead HCP and HCO master data work, including identity resolution, affiliations, specialty, addresses, source precedence, and exception handling.
Apply data governance practices, including 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.
Improve recurring processes 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 whether an affected deliverable should be corrected or held.
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.