Software Product Engineering - 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. 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 35,000 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. Come develop great software solutions to solve exciting problems and deliver exceptional consumer experiences! The Software Product Engineering team is actively looking for a Delivery Lead. Are you determined to deliver the best user-centered solutions? Are you interested in shaping the next generation of application development? If so, please apply. What You’ll Be Doing This is a senior player-coach role at the intersection of engineering delivery and technical program management — you will own delivery execution while staying close enough to the technical work to guide, challenge, and unblock the team. As a Delivery Lead focused on consumer engagement, you will apply modern web technologies and AI-powered architecture to design solutions that transform consumer experiences and improve outcomes. You will drive delivery excellence in close collaboration with engineering and user-experience teams, partnering with peers to influence the development process as we scale and creating an impactful operation that is responsive to both business and consumer needs. How You’ll Succeed As a Delivery Lead, you will bring both your technical and delivery expertise to design and build applications that exceed product goals, advance AI-powered consumer experiences, and transform the ecosystem. Leveraging your strong background in software engineering and AI delivery to guide the team’s work, help solve complex problems, and understand technology and architecture directions for AI-enabled products and platforms. Contributing to a collaborative work environment that promotes innovation by sharing expertise, coordinating across workstreams, and helping engineers navigate complex delivery challenges. Driving process change, continuously evaluating and enhancing software engineering processes, AI tooling, methodologies, and delivery practices to improve efficiency, quality, and productivity. As a superb communicator and influencer with strong interpersonal skills, you will work and collaborate effectively with engineering, product, AI, and data stakeholders to align delivery and drive outcomes. Setting clear objectives, scope and schedules, ensuring the team’s understanding of expectations and priorities. Proactively identify, escalate, and resolve delivery blockers and risks by establishing clear escalation paths, maintaining transparent communication with stakeholders, and driving timely resolution to protect team velocity and product commitments. Partner with Operations teams to ensure seamless handoff of delivered products to support to enable sustained operational excellence post-deployment. What You Should Bring Experience leading complex engineering and AI/ML delivery projects from inception to production. An understanding of full stack development including RESTful APIs, SOA/MSA, Message brokers (Kafka), Distributed Data Management (NoSQL, Event sourcing), Observability (Grafana, Splunk), DevOps, CI/CD, AWS/Azure, and familiarity with AI/GenAI integration patterns and LLM APIs. A strong ability to drive delivery of robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions Demonstrated ability to scope, schedule and resource multiple complex projects in collaboration with other cross functional partners. Self-motivated, independent, and proactive, with outstanding communication skills. Can effectively communicate complex ideas and make compelling arguments Excellent cross-functional influencer with experience working in a fast-paced environment with frequent context switching. Hands-on familiarity with AI/ML and GenAI concepts, including how large language models, agentic workflows, and data pipelines are leveraged to build intelligent consumer-facing products. Experience contributing to and scaling software engineering teams, enabling efficient delivery of high quality software products. Experience coaching and mentoring team members, leading through influence within and across teams to maintain alignment and shared consciousness Championing AI-native ways of working by embedding AI tools and practices into daily engineering workflows — from AI-assisted code review and automated testing to LLM-powered documentation and intelligent sprint planning — fostering a team culture that treats AI as a core colla