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Lilly Advisor – Advanced Analytics Architect in Indianapolis, Indiana

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 35,000 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.

Organization Overview:

Advanced Analytics at Scale group focuses on enabling rapid advanced analytics solutions development and deployment for key AADS analytic capabilities across the company. This group connects the investments in enterprise data and analytics environments with IDS business areas that develop and deploy applications that embed advanced analytics at their core. Their mission is to expand Lilly’s capabilities to scale the development/training of advanced analytic and machine learning algorithms and ensure they can be embedded and maintained in production systems to achieve business value. For production advanced analytics solutions, there are specialized requirements to ensure quality, provide data monitoring, pipeline maintenance, and retraining of algorithms when needed to ensure that advanced analytics solutions continue to provide value in a changing environment.


This role drives the development of the initiatives to scale advanced analytic capabilities. Through internal and external resources, this involves:

  • Translating advanced analytics requirements to implementation

  • Work with advance analytic practitioners to identify needs and ensure scalable solutions

  • Plan and design advanced analytic pipelines to deliver at scale

  • Deliver on rigorous design and sound architecture

  • Provide guidance on data and computing technology

  • Maintain expertise on best practices and tools for deployment and delivery of advanced analytics deployment at scale

  • Integrate analytics platforms and tools on the Enterprise Data Platform (EDP)

  • Drive adoption cloud based AWS solutions and MLOps

  • Optimizing analytics pipelines and products

  • Provide guidance on data engineering practices to ensure rigorous data delivery

  • ML / AI software and product design and architecture design

  • Enabling modular analytics and scalable processing

  • Maintain, plug-in, and operate algorithms on the EDP

  • Develop configurable data pipelines which can be leveraged for further insights

  • Scalability, usability, and performance tuning

Basic Requirements:

  • Ph.D. in Statistics, Econometrics, Operations Research, Computer Science, Engineering or closely related field


  • Masters in Statistics, Econometrics, Operations Research, Computer Science, Engineering or closely related field with at least 6 years of relevant work experience post-degree.

Additional Skills/Preferences:

  • Experience leading teams and external vendors to deliver on products

  • Previous experience with AWS data pipelines and analytics infrastructure

  • Proficient in high performance computing

  • Demonstrated examples of developing and leading teams to develop data/ML pipelines

Additional Information:

  • Travel 5%

  • Full Time Employee

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company. If you would like to request an accommodation for medical or religious reasons, you may do so at

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!