At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Join our innovative team as a Lead Data Architect, where you'll harness groundbreaking technology to redefine data solutions driving the advancement of medicine! Are you passionate about using data architecture and technology to answer business and scientific questions? If so, bring YOUR skills and talents to Lilly where you'll have the chance to create an impact on the lives of patients.
What You'll Be Doing: As the Lead Data Architect, you will combine data, cloud, and software engineering expertise to lead the delivery of data generation, computation, and analysis solutions for R&D. You will design data architecture and governance. Additionally, you will guide a team of engineers in data integration, modeling, coding and workflow optimization to drive efficiency and innovation.
How You'll Succeed: Develop AI-ready data products that support advanced analytics and external partnerships.Design standardized data models and data frameworks used by R&D functions.Facilitate data governance discussions and define data standards with multi-functional teams and data products owners.Architect, implement and maintain the data solutions, focusing on scalability, performance, and compliance.Improve system performance and data quality, with an emphasis on scalability for AI and ML applications.Evaluate emerging data technologies.What You Should Bring: Deep expertise in data architecture framework, including security, reference data, metadata, usability, and stability.Experienced in research and clinical data management, data and application lifecycle management, data operation, and the specific data requirements of drug discovery.Expert knowledge of data generation and collection, computation and analysis in biopharmaceutical R&D, including data architecture, data governance, data integration, data modeling, data science/AI/ML, workflow optimization.Superb communication skills with the ability to work effectively across teams in a matrix organization.Your Basic Qualifications: Bachelor's degree in computational, engineering or a related technical field.5+ years of information management technical leadership experience in high-tech, life sciences, or AI/ML-focused industries.3+ years of experience in delivering cloud data solutions and in scaling large data workflows across distributed environments.Additional Information: Position requires work schedule flexibility, availability outside of regular business hours as needed to support business critical activities.Travel Percentage: 20%
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