At Lilly, the business problem is to improve the understanding and management of disease, and give back to communities through philanthropy and volunteerism by discovering and bringing life-changing medicines to those who need them.
Requirements
- Extensive experience in machine learning, artificial intelligence, natural language processing, advanced mathematical and predictive modeling, and visual analytics.
- Solid understanding of statistics, data wrangling, data cleaning, and redefining large datasets, with ability to develop scalable apps and dashboards for sophisticated business needs.
- Significant coding experience in R and/or Python, and proficiency in Microsoft Power Platform (Power BI, PowerApps), Tableau, Spotfire, and related visualization tools.
- Knowledge of BI, data governance, security roles, and row-level security (RLS) within Power BI and PowerApps.
- Experience with Agile/Scrum methodologies and advanced analytics platforms (e.g., Power Automate, Python/R).
- Familiarity with industry important metrics relevant to drug development, pharma, healthcare, and learning operations.
- Certification in Microsoft Power Platform (PL-400, PL-600, PL-300) preferred.
Responsibilities
- Set the vision and complete data strategy, integrating sophisticated analytics, visualization, and business intelligence across commercial, learning, and transformation teams.
- Drive strategic discussions to identify key opportunities, whitespace, and innovative solutions for data-driven business and learning outcomes.
- Champion analytic capabilities and the expansion of data science-driven business solutions across M&Q partnering with Tech@Lilly.
- Lead the design, development, and deployment of interactive dashboards, reports, and data-driven learning platforms using Power BI, PowerApps, Tableau, Spotfire, or equivalent tools.
- Develop and operationalize dashboards/critical metrics in support of strategic and tactical plans, ensuring data accuracy, quality, and integrity.
- Conduct exploratory data analysis, root-cause investigation, and predictive modeling using sophisticated techniques including machine learning, artificial intelligence, and natural language processing.
- Ensure secure and effective data connections through data gateways, and API/cloud integrations.
Other
- Bachelor’s degree in business, marketing, computer/data science, or similar field (for foundational requirements).
- 5 years of relevant work experience with demonstrated success in setting up and leading high-performing analytics/data-science teams, ideally in healthcare, pharma, or related industries.
- Qualified applicants must be authorized to work in the United States on a full-time basis.
- Exceptional communication skills, including executive-level verbal and written presentations, and ability to simplify complexity and tell compelling data stories.
- Proven ability to lead without authority, thrive in ambiguity, and drive results through collaboration and influence.
