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Senior Director, Real-World Data Operations Lead
Eli Lilly and CompanySenior Director driving strategy, execution, and innovation of real-world data operations at Lilly. Ensuring robust governance and operational excellence in RWD pipelines and processes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Real-World Data (RWD) management, including the construction and validation of analytic datasets, and the development of quality-control frameworks. Proficient in SQL, R, and R-Shiny for operational tool development and dashboarding, with a strong focus on collaboration and leadership across cross-functional teams.
Highest-signal resume keywords
Real-World Data (RWD) ExpertiseSQL ProficiencyHealthcare Data StructuresRWD Healthcare Coding SystemsLeadership in Stakeholder Influence
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Real-World Data ManagementAnalytic Dataset ConstructionQuality-Control Framework DevelopmentData ValidationPhenotyping Algorithm DevelopmentOperational Tool DevelopmentDashboardingData Completeness AssessmentStatistical Research WorkflowsConflict Resolution
Soft Skills
Analytical SkillsOrganizational SkillsCommunication SkillsStrategic ThinkingTeam Leadership
Tools & Technologies
RR-ShinySQL
Certifications & Qualifications
Masters Degree (MS, MPH, PharmD, PhD)
Industry Keywords
Healthcare Data StructuresICD-10CPTNDCLOINCRxNormHEORClinical-Genomic DatasetsOperational FrameworksData Governance
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Drive the strategy, execution, innovation, and continuous improvement of Lilly's real-world data ecosystem across therapeutic areas and enterprise data assets.
- Ensure that RWD pipelines and processes are built, validated, and governed.
- Translate the strategic direction and execution at the ground level, bringing deep, hands-on RWD expertise.
- Oversee the construction of analytic datasets, ensuring they are built to specification and fit for regulatory-grade and publication-quality evidence generation.
- Orchestrate cross-functional governance, establish logical rules and frameworks for appropriate data use, and maximize enterprise-wide impact.
- Support knowledge management including ownership of code list and algorithm creation and maintenance.
- Continuously scan for and incorporate emerging innovations.
- Lead the technical and data integrity evaluation of raw RWD prior to acceptance and licensing.
- Collaborate closely with RWD architect(s) and engineer(s) to translate scientific needs into enterprise RWD infrastructure strategy.
- Accelerate evidence generation by standardizing and transforming raw data into reusable, analysis-ready assets across different business units.
- Develop and execute quality-control frameworks that qualify data completeness and ensure RWD operations at scale.
- Own end-to-end code list standardization, maintenance, stewardship, and hosting.
- Lead development and maintenance of reusable phenotyping algorithms, code libraries, and standardized data pipelines.
- Build tools and dashboards enabling stakeholders to gain rapid visibility into RWD sources and operational metadata.
- Develop and deliver RWD-source-specific trainings to ensure understanding of asset structure, quality, and limitations.
Requirements
What you’ll need- Masters degree (MS, MPH, PharmD, PhD) in a quantitative, data, or health-related field.
- Minimum of 3 years of RWD hands on experience with: Healthcare data structures (claims, EHR, and multi-modal RWD, including linked clinical-genomic/omics datasets).
- Minimum of 3 years experience of RWD Healthcare coding systems: ICD‑10, CPT, NDC, LOINC, RxNorm.
- Experience driving alignment and conflict resolution across technical and scientific teams.
- Experience supporting organizational change and building operational frameworks.
- Demonstrated ability to manage complex operational workflows across multiple stakeholders.
- Strong analytical, organizational, and communication skills.
- Strong strategic thinker at enterprise level and ability to collaborate with RWD architect, engineer and strategy roles.
- Demonstrate leadership skills in influencing stakeholders to resolve conflicts.
- Demonstrate leadership in establishing external partnership.
- Proficiency in SQL, R, and R‑Shiny, including dashboarding and operational tool development.
- Familiarity with HEOR, medical, and statistical research workflows, including specification development, data quality assessment, study execution.
- Minimum of 2 years of direct people management experience, including leading, coaching, and developing team members preferred.
Benefits
Comp & perks- eligibility to participate in a company-sponsored 401(k)
- pension
- vacation benefits
- eligibility for medical, dental, vision and prescription drug benefits
- flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- life insurance and death benefits
- certain time off and leave of absence benefits
- well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)