Senior Director, Customer Insights and Analytics

Eli Lilly and Company

. Develop and implement a comprehensive, consumer-first and AI-first analytics strategy for LillyDirect .

Posted 9/23/2026full-timeRemote • United StatesSenior💰 $175,500 - $283,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing analytics strategies, leading analytics teams, and utilizing data-driven insights to influence business decisions. Proficient in SQL, BI tools, and analytics methodologies within health-tech and ecommerce environments.

Highest-signal resume keywords

Analytics Team LeadershipSQL ProficiencyBusiness Intelligence ToolsData-Driven Decision MakingHealthcare Data Privacy Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsData ScienceStatisticsMachine LearningPredictive AnalyticsA/B TestingCohort AnalysisCloud Data WarehousingDashboard DevelopmentKPI Tracking

Soft Skills

Strategic ThinkingExcellent CommunicationInfluencing Senior DecisionsGrowth MindsetOperational Excellence

Tools & Technologies

TableauPower BILookerAI ToolsAnalytics Products

Certifications & Qualifications

Bachelor's DegreeMBA or Equivalent Advanced Degree

Industry Keywords

EcommerceHealthcare TechnologyDigital HealthHealth-TechConsumer Health DataHIPAA Compliance

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

Develop and implement a comprehensive, consumer-first and AI-first analytics strategy for LillyDirect
Set the strategic direction and roadmap for LillyDirect analytics
Oversee dashboard development, KPI tracking, and cross-functional data partnerships with CI&A, Tech@Lilly, and Finance
Define the analytical agenda for LillyDirect product and marketing functions with senior product, technology, and marketing leaders
Scale and lead a business analytics team supporting LillyDirect across U.S. and OUS markets
Recruit, train, coach, and retain analytics talent and develop leadership pipelines
Ensure business recommendations and solutions are supported by solid analytical evidence
Promote accountability and operational excellence, including timely delivery and maintenance of an operations calendar
Partner with Lilly BI&A to replicate and share best practices
Provide objective data to measure overall LillyDirect business performance and specific business areas
Influence LillyDirect leadership decisions through data-driven insights and facilitate analytics adoption
Proactively bring recommendations and solutions to improve business outcomes
Challenge the status quo and drive solutions that help LillyDirect reach its goals
Own development and delivery of AI tools and analytics products from concept through launch
Ensure analytics product quality and reliability through rigorous testing and validation
Report to the CFO of LillyDirect

Requirements

What you’ll need

Bachelors degree
5+ years leading analytics teams
10+ years of experience in analytics, data science, statistics, or computer science
Hands-on experience with SQL and at least one modern BI/visualization platform, such as Tableau, Power BI, or Looker
Willingness to work PST hours
MBA or equivalent advanced degree preferred
Analytics or data science leadership experience within ecommerce, healthcare technology, digital health, or health-tech environments preferred
Experience with direct-to-consumer or direct-to-patient business models preferred
Experience spanning health-tech and pharma environments valued
Experience building and leading business analytics teams in fast-paced, high-growth environments preferred
Experience with cloud data warehouses and product/experimentation analytics tools for consumer-facing A/B testing and cohort analysis preferred
Strategic thinking and ability to work in a fast-paced, ambiguous environment and manage multiple priorities
Excellent written and verbal communication skills and ability to communicate analytics concepts clearly and influence senior decisions
Consistent record of using data to drive decision-making
Success leading and delivering complex projects across highly matrixed, multi-functional teams
Broad awareness of design of experiments, artificial intelligence, machine learning, natural language processing, optimization, and predictive analytics
Working knowledge of healthcare data privacy and regulatory requirements, such as HIPAA
Experience embedding privacy-by-design and data governance practices into analytics products built on consumer health data
Growth mindset and ability to build scalable systems and processes while adapting to a fast-moving health-tech environment

Benefits

Comp & perks

Company bonus depending on company and individual performance
Company-sponsored 401(k)
Pension
Vacation benefits
Medical benefits
Dental benefits
Vision benefits
Prescription drug benefits
Healthcare and/or dependent day care flexible spending accounts
Life insurance and death benefits
Time off and leave of absence benefits
Employee assistance program
Fitness benefits
Employee clubs and activities
Travel up to 10%, primarily domestic travel depending on business need