Senior Director, Customer Insights and Analytics
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Job Description
Senior Director leading customer insights, AI, and analytics for LillyDirect. Building teams and data products for Lilly’s consumer healthcare platform across U.S. and OUS markets.
Responsibilities:
- 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:
- 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:
- 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
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