Senior Data & AI Solutions Architect

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. Senior Data & AI Solutions Architect Lilly’s Purpose 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 are looking for people who are determined to make life better for people around the world. Come help us transform Lilly’s Manufacturing and Quality business! The Global Data, Analytics and AI team for Manufacturing and Quality is focused on delivering accelerated business value through Durable Analytic Products, Data as a Product, Data Products, and AI Products. We are looking for a hands-on technical leader who can architect and deliver Data, Analytics, and AI products for Manufacturing & Quality and who brings experience working with Quality Assurance processes in a regulated environment. As Lilly advances its Quality transformation journey, this role will shape and deliver solutions supporting Quality Assurance, Quality Management Systems, inspection readiness, quality risk management, deviation management, CAPA, complaints, audits, and broader Quality operations. The successful candidate will combine strong technical depth with product leadership and Quality domain knowledge. This individual will be expected to make architecture decisions, guide engineering teams, contribute directly to solution design and prototyping, and lead products from concept through production deployment and adoption. What You’ll Be Doing You will be responsible for defining, designing, building, and scaling data and AI solution architecture for Global Manufacturing and Quality teams. You will lead product-based delivery pods across Data Products, Durable Analytic Products, Advanced Analytics, AI Products, and Agentic AI capabilities. You will serve as a senior technical leader and solution architect for transformation programs, helping the organization move from fragmented reporting and manual analysis toward scalable, reusable, governed, and intelligent digital capabilities. This is a hands-on technical leadership role. You will be expected to remain close to the technology, provide technical direction to engineers and data scientists, challenge solution designs, contribute to prototypes and technical problem-solving, and ensure products are engineered for secure, scalable, and sustainable production use. Success in this role requires strength across architecture, engineering, product delivery, Quality domain understanding, and executive stakeholder engagement. How You’ll Succeed Technical Architecture, Data Products, and Engineering Define end-to-end architectures for Data Products, Durable Analytic Products, analytics applications, AI Products, and Agentic AI solutions. Architect solutions across data ingestion, transformation, orchestration, storage, semantic modeling, analytics, visualization, AI, integration, and application layers. Translate Manufacturing and Quality business requirements into practical technical designs, implementation patterns, and product roadmaps. Provide hands-on leadership in solution design, data modeling, architecture blueprints, technical spikes, and prototype development. Design scalable data pipelines, curated data layers, semantic models, APIs, analytical models, and business-facing applications. Define non-functional requirements for security, privacy, performance, scalability, resiliency, observability, cost, and supportability. Establish reusable architecture and engineering patterns that can scale across Quality processes, sites, and global business teams. Apply modern engineering practices including source control, automated testing, CI/CD, secure development, deployment automation, and production monitoring. Evaluate technical options and make clear recommendations based on business value, delivery risk, lifecycle cost, and enterprise alignment. Ensure products progress beyond proof-of-concept work into governed, supported, and sustainable production capabilities. AI, and Agentic Solutions Architect and lead the delivery of Machine Learning, Generative AI, and Agentic AI solutions for Manufacturing and Quality. Design solutions using technologies such as large language models, embeddings, semantic search, vector stores, retrieval-augmented generation, knowledge graphs, orchestration frameworks, and AI agents. Develop capabilities such as signal detection, trend analysis, investigation support, regulatory intelligence, knowledge retrieval, summarization, recommendation generation, and workflow automation. Partner with Data Scientists and AI Engineers to define model workflows, evaluation approaches, prompt strategies, grounding methods, and human-in-the-loop controls. Determine when a business problem requires traditional analytics, Machine Learning, Generative AI, deterministic automation, or a combination of approaches. Design AI capabilities for traceability, explainability, evaluation, monitoring, and responsible use in Quality processes. Leverage enterprise AI platforms and reusable services where appropriate while ensuring solutions remain fit for their intended use. Evaluate emerging AI technologies through practical experimentation and apply them where they can create measurable business value. Help evolve products from descriptive reporting toward proactive intelligence, guided decision-making, and appropriately governed agentic workflows. Quality and Regulated Solution Delivery Apply Quality Assurance experience to the design and delivery of solutions supporting regulated business processes. Partner with Quality process owners and subject matter experts to understand intended use, process controls, risk, records, approvals, and decision points. Ensure technical solutions account for data integrity, traceability, access control, change management, validation, and operational support requirements. Incorporate appropriate human review and approval controls where AI outputs inform Quality or compliance decisions. Work with Quality, Cybersecurity, GISQ, Software Assurance, validation, and Responsible AI teams to meet applicable governance requirements. Support Quality domains including Quality Management Systems, deviation management, CAPA, complaints, change control, audits, inspection readiness, quality risk management, laboratory operations, and batch release. Balance delivery speed with Quality, security, compliance, maintainability, and long-term business value. Technical Leadership and Business Partnership Lead product pods and guide engineers, data scientists, analysts, arc