[Remote] Senior Director Customer Insights and Analytics (CI&A) LillyDirect

Note: The job is a remote job and is open to candidates in USA. Lilly is hiring a Senior Director of Customer Insights and Analytics for LillyDirect, its consumer healthcare platform. The role will build and lead an analytics organization, set its strategy, and deliver data-driven insights, AI tools, and analytics products to support business decisions across U.S. and OUS markets.

Responsibilities

• Develop and implement a comprehensive analytics strategy for LillyDirect, with a consumer-first, and AI-first approach, aligned with business goals
• Set the strategic direction and roadmap for LillyDirect analytics, providing oversight and thought leadership to direct reports accountable for day-to-day execution, including dashboard development, KPI tracking, and cross-functional data partnership with CI&A, Tech@Lilly, and Finance
• Work closely with both the Chief Product and Technology Officer and the Sr Vice President and Chief Marketing Officer LillyDirect to define the analytical agenda for the LillyDirect product and marketing functions – setting priorities for what data is captured, what questions are investigated, and what insights are acted upon
• Scale and lead a team of business analysts capable of operating with the speed and agility of a health-tech company who support LillyDirect in the delivery of high-impact insights to the organization for US and OUS markets
• Develop a pipeline of analytics talent and leadership, and contribute to an inclusive community of expert practitioners through recruiting, training, coaching, and retaining top talent
• Ensure the team delivers business recommendations and solutions that are supported by solid evidence, grounded in analytics
• Promote a culture of accountability and operational excellence by ensuring CI&A team delivers work on time and maintain an operations calendar
• Partner with Lilly BI&A organization to replicate and/or share best practices
• Provide objective data used to measure business performance for the overall LillyDirect business as well as specific parts of the business
• Influence business decisions and deliver data-driven insights to the LillyDirect leadership team that help more patients
• Influence LillyDirect leaders on the effective adoption of analytics recommendations and solutions
• Engage fully with business teams by providing an objective perspective and facilitating data-driven decision making
• Proactively bring recommendations and solutions to the business to improve outcomes
• Champion efforts to challenge the status quo and drive solutions that help LillyDirect reach its goals
• Own the development and delivery of AI tools and analytics products from concept to launch, ensuring they meet business and internal customer needs
• Ensure the quality and reliability of analytics products through rigorous testing and validation by the CI&A Team

Skills

• Bachelors degree
• 5+ years leading analytics teams
• 10+ years of experience in analytics, data science, statistics, or computer science
• Hand on experience with SQL and at least one modern BI/visualization platform (e.g., Tableau, Power BI, Looker)
• MBA or equivalent advanced degree
• Analytics or data science leadership experience within an ecommerce, healthcare technology company, digital health platform, or health-tech startup/scale-up
• Experience with direct-to-consumer or direct-to-patient business models, including e-commerce, subscription, or marketplace economics
• Candidates with experience spanning both health-tech and pharma environments are especially valued
• Demonstrated ability to build and lead business analytics teams in fast-paced, high-growth environments
• Experience with cloud data warehouses and product/experimentation analytics tool for consumer-facing A/B testing and cohort analysis
• Demonstrated ability to think strategically and work in a fast-paced, ambiguous environment and manage multiple priorities
• Excellent written and verbal communication skills, with the ability to communicate analytics concepts clearly to collaborators at all levels and to influence senior decisions
• Consistent record of using data to drive decision-making
• Demonstrated success leading and delivering complex projects across highly matrixed, multi-functional teams
• Possess broad awareness of advanced analytics areas such as: design of experiments, artificial intelligence (AI), machine learning (ML), natural language processing (NLP), optimization, and predictive analytics
• Working knowledge of healthcare data privacy and regulatory requirements (e.g. HIPAA) and experience embedding privacy-by-design and data governance practices into analytics products built on consumer health data
• Demonstrates a growth mindset; builds systems and processes designed for scale while remaining flexible enough to adapt to a fast-moving health-tech environment

Benefits

• Full-time equivalent employees are eligible for a company bonus, depending in part on company and individual performance.
• Eligible employees may participate in a company-sponsored 401(k).
• Pension.
• Vacation benefits.
• Eligibility for 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 an employee assistance program, fitness benefits, and employee clubs and activities.
• Remote work.

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