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Associate Director – Data Products Engineering Lead

Eli Lilly and Company
Indianapolis, Indiana
Start date
Mar 29, 2024

Job Details

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.

Associate Director – Data Products Engineering Lead


You will join a growing and dynamic team of business insights and analytics professionals whose main goal is to help our marketing, sales, finance, and leadership partners achieve their business goals through data, reporting, and analytics. The Associate Director – Data Products Engineering focusing on Data Products, will play a pivotal role in designing, developing, and deploying innovative data-driven solutions within the organization. This job involves a depth of understanding of all Lilly commercial sales and marketing databases as well as an understanding of the available 3rd party data sources needed for core analytic processes. This position is accountable for supporting analytics, reporting, and data governance needs by leading the creation of sophisticated data engineering products, creating processes for automation of data ingestion and product creation, and leading special projects for the US affiliate as needed. Further, this position will be responsible for identifying and advocating standard processes for the affiliate across the data asset lifecycle, working closely with other data domain and analytics leaders. Collaborating closely with multi-functional teams, you will lead the technical implementation of data products, ensuring scalability, reliability, and performance. The ideal candidate possesses deep expertise in data engineering, strong problem-solving skills, and a passion for leveraging data to drive business outcomes. This position works with the Sr. Director – Data Engineering Lead.

Key Objectives:
  • Lead the design, development, and implementation of data products, drive excellence in engineering practices and ensure alignment to best practices and standards.
  • Lead the Analytic Data Products Strategy to deliver key data assets to enable streamlined, compliant execution and analytics.
  • Design and build scalable and efficient data pipelines to support the development of data products. Evaluate and select appropriate technologies and tools for data processing, storage, and analysis, considering factors such as performance, cost, and scalability.
  • Lead the end-to-end development lifecycle of data products, from requirements gathering and prototyping to production deployment and maintenance. Collaborate with relevant technical teams, data scientists, and partners to translate business requirements into technical specifications.
  • Advise collaborators and other functions and teams on proper use of data.
  • Collaborate closely with multi-functional teams to understand business and technical requirements, iterate on solutions, and deliver high-quality data products that meet business objectives. Communicate effectively with both technical and non-technical partners.
  • Establish and implement standard methodologies for data quality, testing, and validation to ensure the accuracy and reliability of data products. Implement monitoring and alerting systems to proactively identify and address issues.
  • Stay abreast of advancements in data engineering and related technologies. Find opportunities for process optimization, automation, and innovation to enhance the efficiency and performance of data products.
  • Create an inclusive culture where creating and maintaining high-quality data is a core subject area.

Basic Qualifications
  • Bachelors and/or Masters Degree in Computer Science, Engineering, Statistics, Information Technology, Information Management, or equivalent experience.
  • 5+ years of experience in data engineering, with a focus on developing data products and solutions.
  • 5+ years of expertise in SQL, Python, Java, Spring, Spring Boot, Prefect, and/or other business intelligence tools.
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.

Additional Skills/Preferences
  • Expertise with cloud-based environments and associated tools.
  • Experience with defining and executing data ingestion pipelines.
  • Experience with large scale, enterprise 3rd party data and analytics.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Solid understanding of data modeling, database design, and SQL.
  • Excellent problem-solving skills and a passion for using data to drive business outcomes.
  • Good communication and collaboration skills, with the ability to work effectively in multi-functional teams.
  • Strong pharmaceutical data engineering skills coupled with eye for business, and an ability to think strategically in an ambiguous environment.
  • Experience with pharmaceutical sales and marketing data and analytics.
  • Consistent record leading and delivering complex multi-functional projects.
  • Validated ability to rally resources to achieve project and business results.
  • Deep understanding of financial and sales/marketing business principles.
  • Experience with commercial analytics practices and processes.
  • Knowledge of DevOps practices and tools for CI/CD and infrastructure automation.
  • Experience with Agile/Scrum methodologies and project management tools such as JIRA.
  • High level of motivation and a strong desire to find creative solutions to challenging situations.

Additional Information
  • 0-10% travel depending on business need

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.



Science has been our calling from the beginning. Colonel Eli Lilly founded the company in 1876 and charged employees to “take what you find here and make it better and better.” More than 147 years later, we remain committed to his vision through every aspect of our business and the people we serve, starting with discovering the best treatments for those who take our medicines and extending to health care professionals, employees and the communities in which we live. Moreover, you can also count on the team at Lilly to be incredibly civic-minded, supporting our communities through philanthropy, volunteerism, and a creative and innovative can-do spirit. 

Company info
893 S Delaware St
United States

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