Clinical Results - Lab Technical Delivery Lead

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 Technical Delivery Lead in Clinical Results will be responsible for hands-on technical delivery, portfolio execution and oversight of the technologies that ingests, transforms, and manage clinical data across a complex, highly regulated laboratory ecosystem. This role will lead our Clinical Lab portfolio in designing and building solutions alongside engineering teams, and owning the roadmap, strategy, and execution that turns those solutions into resilient, compliant, scalable platforms.

The role will partner closely with business leaders, Product Owners, and Architects to define current and future state capabilities, serving as both a technical authority and execution lead to deliver critical systems on schedule. Consistent with Lilly's technology direction, the Technical Lead is technical and AI-skilled-using AI-assisted engineering in delivery and adopting modern, compliant data-engineering practices Level and scope are calibrated to the successful candidate's experience.

** What You'll Be Doing*
* + Design, build, and improve Clinical Results Lab data ingestion, transformation, integration, and management, while driving the technology roadmap and strategy.

+ Apply AI-assisted engineering in delivery to accelerate work and improve quality, while championing automation and operational efficiency across the broader portfolio.

+ Build integrations and data services using modern patterns (APIs, event-driven architecture), partnering with business leaders, Product Owners, and Architects to define and evolve current- and future-state technology strategies.

+ Provide hands-on problem-solving on data and technical issues, while also providing technical oversight across agile delivery teams to ensure quality, security, data integrity, and validation by design.

+ Ensure data solutions meet GxP, data-integrity, security, and performance requirements, balancing stakeholder needs and priorities to guide teams toward the highest-value outcomes.

+ Serve as the core execution lead across the Clinical Results Lab team.

+ Influence internal leaders and external vendors to deliver high-value solutions and streamline efforts.

+ Represent the Clinical Results Labs Tech@Lilly team in cross-functional forums, identifying opportunities for harmonization and progression.

+ Collaborate with solution managers, architects, and stakeholders to align delivery to standards, helping improve engineering and data processes consistent with team expectations.

+ Continuously evolve platforms through feedback and data-driven insights, ensuring solutions stay resilient, compliant, and scalable as the portfolio grows.

** Basic Qualifications*
* + Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data, Engineering, or a related field.

+ 5+ years of experience in technology with expertise in related process, technology, and user experience.

+ Business and technical knowledge within the discipline, developed through education or experience.

+

Experience with leveraging AI in day-to-day engineering and delivery.

+ Demonstrated ability to develop, across data integration, APIs, and cloud platforms (Azure, AWS).

** Preferred Qualifications*
* + Strong communication and collaboration skills, with the ability to educate others and gain support for ideas and solutions.

+ Sound problem-solving and understanding of key business driver, paired with the judgment to prioritize across competing delivery demands.

+ Experience in clinical development, Good Clinical Practice (GCP), or a regulated (GxP) environment within pharmaceutical, biotech, or healthcare.

+ Exposure to AI/agentic capabilities applied to data pipelines.

+ Familiarity with clinical data standards and data-integrity requirements.

+

Experience with CI/CD, containerization, or infrastructure-as-code.

+ Relevant cloud, data, or AI/ML certifications or coursework.

+ Proven ability to deliver across a broad and complex portfolio

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