At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Position Summary
The Advisor is a senior technical leader supporting Clinical Tech Design & Operations, responsible for tackling the toughest problems and shaping modern, resilient solutions that power clinical design and operational delivery across a large and fast-evolving ecosystem. At the R8 level, the Advisor owns the technical direction of initiatives in partnership with business owners to maximize value, bringing deep data and solution integration expertise to connect design and operational systems reliably at scale. Partnering tightly with Software Product Engineering, Cyber Security, and Infrastructure & Digital Core, the Advisor drives shared strategies and secure-by-design architectures, while researching and applying emerging technology—including AI and agentic engineering—to advance capability and drive adoption.
Key Responsibilities
Own the technical direction of complex initiatives across clinical design and operations, shaping modern, resilient, secure solutions.
Lead data and solution integration across the ecosystem, ensuring reliable, performant connectivity between design and operational systems, data products, and services.
Partner tightly with Software Product Engineering, Cyber Security, and Infrastructure & Digital Core to drive aligned strategies, shared standards, and secure-by-design architectures.
Research and apply emerging technology—AI/ML, agentic workflows, intelligent automation—driving adoption.
Champion modernization and resilience, reducing technical debt and improving fault tolerance, observability, and recoverability.
Embed secure and AI-assisted engineering (code generation, automated testing, anomaly detection, threat-aware design) to accelerate delivery and improve operational quality.
Serve as a recognized expert, defining integration patterns and engineering standards adopted across design and operations teams.
Elevate technical colleagues by sharing data, integration, and security knowledge to broaden team impact.
Improve engineering processes and guide the organization through change.
Gain support for and influence initiatives spanning clinical design and operations, engineering, cyber, and infrastructure.
Provide authoritative troubleshooting leadership on complex integration, operational, and design-system challenges.
Basic Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
Extensive software/systems engineering experience delivering complex, enterprise-scale solutions with clear technical ownership.
Data and solution integration experience across large, complex, evolving ecosystems.
Experience in one or more technologies, able to set integration standards and guide other engineers.
Experience in applying AI in day-to-day engineering.
Experience across integrations, APIs, event-driven architecture, and cloud platforms (Azure, AWS, or GCP).
Experience designing resilient solutions in partnership with engineering, cyber, and infrastructure teams.
Experience in solving the toughest technical problems affecting operations at scale.
Preferred Qualifications
Strong communication and cross-functional influencing skills.
Experience in clinical development, Good Clinical Practice (GCP), or a regulated (GxP) environment within pharmaceutical, biotech, or healthcare.
Advanced degree in Computer Science, Engineering, or a related field.
Cyber-security aware and skilled: secure-by-design principles, threat modeling, identity and access management, and zero-trust patterns.
Hands-on experience integrating AI/agentic capabilities into operational systems.
Experience driving integration and modernization strategies with software product engineering, infrastructure, and digital core teams.
Familiarity with clinical operations tooling and clinical data pipelines.
Experience with Kubernetes, Docker, CI/CD, and infrastructure-as-code.
Relevant cloud, security, or AI/ML certifications.
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 proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, 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 are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
$162,000 - $268,400Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.
- Extensive software or systems engineering experience delivering complex, enterprise-scale solutions with clear technical ownership.
- Experience with data and solution integration across large, complex, evolving ecosystems.
- Experience with one or more technologies, including setting integration standards and guiding other engineers.
- Experience applying artificial intelligence in day-to-day engineering.
- Experience with integrations, APIs, event-driven architecture, and cloud platforms such as Azure, AWS, or GCP.
- Experience designing resilient solutions with engineering, cybersecurity, and infrastructure teams.
- Experience solving complex technical problems affecting operations at scale.
- Strong communication and cross-functional influencing skills.
- Experience in clinical development, Good Clinical Practice, or a regulated GxP environment within pharmaceutical, biotech, or healthcare.
- Advanced degree in Computer Science, Engineering, or a related field.
- Knowledge of secure-by-design principles, threat modeling, identity and access management, and zero-trust patterns.
- Hands-on experience integrating AI or agentic capabilities into operational systems.
- Experience driving integration and modernization strategies with software engineering, infrastructure, and digital core teams.
- Familiarity with clinical operations tooling and clinical data pipelines.
- Experience with Kubernetes, Docker, CI/CD, and infrastructure-as-code.
- Relevant cloud, security, or AI/ML certifications.
Eli Lilly and Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eli Lilly and Company and has not been reviewed or approved by Eli Lilly and Company.
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Retirement Support — Feedback suggests long-term savings are bolstered by a defined-benefit pension alongside a company 401(k) match and retiree health options. These elements make total compensation feel strong beyond base salary.
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Leave & Time Off Breadth — Feedback suggests paid time off is expansive, with substantial vacation, company shutdown days, and milestone time. This breadth of leave is viewed as a meaningful part of overall rewards.
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Parental & Family Support — Feedback suggests family-building and caregiving support are robust, including paid parental leave, adoption or surrogacy assistance, and backup care. These programs enhance the perceived value of benefits across life stages.
Eli Lilly and Company Insights
What We Do
Eli Lilly and Company engages in the discovery, development, manufacture, and sale of products in pharmaceutical products business segment. For more than a century, we have stayed true to a core set of values – excellence, integrity, and respect for people – that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities through philanthropy and volunteerism.
