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 9/22/2026full-timeRemote • California • 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 delivering data-driven insights in fast-paced environments. Proficient in SQL, BI tools, and advanced analytics methodologies, with a strong focus on consumer health data and regulatory compliance.

Highest-signal resume keywords

Analytics Team LeadershipSQL ProficiencyBusiness Intelligence ToolsAdvanced Analytics MethodologiesHealthcare Data Privacy Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsData ScienceStatisticsSQLA/B TestingCohort AnalysisMachine LearningNatural Language ProcessingPredictive AnalyticsData Governance

Soft Skills

Strategic ThinkingCommunication SkillsProject ManagementInfluencing SkillsGrowth Mindset

Tools & Technologies

TableauPower BILookerCloud Data WarehousesAI Tools

Certifications & Qualifications

Bachelor's DegreeMBA or Equivalent Advanced Degree

Industry Keywords

EcommerceHealthcare TechnologyDigital HealthHealth-Tech StartupPharma

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
Build, scale, and lead a world-class business analytics team supporting US and OUS markets
Recruit, train, coach, and retain analytics talent and develop leadership pipelines
Ensure business recommendations and solutions are evidence-based and grounded in analytics
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
Deliver data-driven insights and recommendations to LillyDirect leadership
Facilitate data-driven decision-making and influence adoption of analytics recommendations
Champion solutions that improve outcomes and help LillyDirect reach its goals
Own development and delivery of AI tools and analytics products from concept to 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
MBA or equivalent advanced degree preferred
Analytics or data science leadership experience within an ecommerce, healthcare technology company, digital health platform, or health-tech startup/scale-up preferred
Experience with direct-to-consumer or direct-to-patient business models preferred
Experience spanning both health-tech and pharma environments especially valued
Experience building and leading business analytics teams in fast-paced, high-growth environments
Experience with cloud data warehouses and product/experimentation analytics tools for consumer-facing A/B testing and cohort analysis
Ability to think strategically and work in a fast-paced, ambiguous environment and manage multiple priorities
Excellent written and verbal communication skills, with 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 advanced analytics areas including 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
Must be willing to work PST hours
Travel up to 10%, primarily domestic travel depending on business need

Benefits

Comp & perks

Company bonus depending, in part, on company and individual performance
Company-sponsored 401(k)
Pension
Vacation benefits
Medical, dental, vision and prescription drug benefits
Flexible benefits, including 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, including employee assistance program, fitness benefits, and employee clubs and activities