At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary: If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way. At CVS Health, we are driven by a vision to redefine healthcare in America by placing people at the forefront of our efforts. We're seeking a motivated senior engineering manager who shares our commitment to engineering excellence and innovation. As part of our team, you'll have the opportunity to contribute to advancing and modernizing technologies that shape the future of healthcare. As a senior engineering manager at CVS Health, you'll play a crucial role in building and delivering high-quality software that enhances customer experiences. You'll be involved in all phases of software engineering, from requirements analysis to deployment, while adhering to agile software development methodologies. Collaboration is key, as you'll work closely with cross-functional teams to deliver integrated solutions that meet the evolving needs of our business. As a Senior Engineering Manager, you will: Oversee digital engineering projects, ensuring successful delivery within scope, budget, and timeline. Shape long-term plans, technology adoption strategies, and innovation initiatives to drive digital transformation. Provide technical leadership, guiding the team in best practices, optimizing development processes, and resolving technical challenges. Partner with senior leadership to define and execute the digital engineering strategy and roadmap in alignment with business objectives. Contribute to solution design and architecture, collaborating with product teams, architects, and senior engineers. Engage with key stakeholders—including business leaders, clients, and partners—to gather requirements, clarify expectations, and align priorities. Establish and enforces quality assurance processes to ensure the delivery of high-performing, reliable digital solutions. Champion continuous improvement by identifying opportunities for enhancement, refining processes, and optimizing development workflows. Lead one to a few teams of software engineers, providing mentorship, fostering professional growth, and ensuring team effectiveness. As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise. Required Qualifications: 5+ years of experience managing engineers 10+ years of experience with designing and building software engineering solutions in cloud environments (preferably Google Cloud Platform) 10+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc. 10+ years of experience with APIs, microservices, and modern software patterns 5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders 5+ year(s) of experience independently managing deliverables Preferred Qualifications: Knowledge in GCP architecture, commands and experience designing & optimizing software and data engineering patterns Healthcare, Retail, Pharmacy and/or Insurance domain experience Machine Learning and Generative AI experience at scale Education: Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.