Director - Lead Data Architect

US: San Diego CA Lilly Biotechnology Center

Eli Lilly and Company

Lilly is a medicine company turning science into healing to make life better for people around the world.

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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%

Organization Overview:

Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.

Research Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Data governance Data management Data quality Drug discovery Engineering Machine Learning R R&D Research Security

Perks/benefits: Career development

Region: North America
Country: United States

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