Senior Manager - Software Development Engineering

CVS Health•Scottsdale, MA

8d•$106,605 - $260,590

About The Position

CVS Health is seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team. The role is responsible for setting strategic technical direction, architecting and building AI solutions, and enabling business and IT partners in their AI adoption journey. The team helps business partners strategize, evaluate, define, and prioritize complex enterprise initiatives and turn them into AI-enabled solutions. The role partners closely with business stakeholders and domain-specific IT application development teams to advance AI-driven transformation and deliver measurable results across multiple concurrent initiatives in a fast-paced environment. The Senior Manager leads and develops an engineering team focused on AI/ML and GenAI, champions engineering best practices and responsible AI development, and oversees the end-to-end delivery of solutions from ideation through production deployment and adoption. The position combines low-code/no-code tools with traditional full-stack development and establishes DevOps, CI/CD, and data governance practices. Work takes place in a regulated enterprise environment and must align with formal architecture, security, privacy, audit, and governance standards. The position reports program progress, risks, and value delivered to senior leadership. This is a full-time position with a typical pay range of $106,605 to $260,590. It is eligible for a CVS Health bonus, commission or short-term incentive program and an equity award target. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Requirements

8 or more years of people management experience, including building, leading, and developing high-performing engineering teams.
5 or more years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
Demonstrated experience building AI/ML solutions, including exposure to GPT, Gemini, or Claude models; Vertex AI; RAG; GenAI; and agentic AI workflows and orchestration.
Proficiency in Python and full-stack development, including designing and building APIs.
Hands-on experience with Azure or GCP cloud platforms and Kubernetes container orchestration.
Experience with vector databases supporting AI/ML and GenAI solutions.
Experience with major cloud AI/ML platforms such as Google Cloud Vertex AI, Azure OpenAI, or AWS Bedrock.
Strong proficiency in SQL, data analytics, and automation.
Proven experience with DevOps practices and CI/CD pipelines.
Excellent communication and interpersonal skills, including the ability to engage business leaders and translate business requirements into actionable technical plans.
Experience in a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
Strong strategic thinking and program management skills, including the ability to manage concurrent initiatives in a fast-paced environment.
Bachelor's or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Nice To Haves

Experience within Finance or a similar regulated financial services function.
Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
Experience with agentic AI frameworks and orchestration tools.
Experience building and scaling low-code/no-code AI solutions, including Copilot Studio agents, Power Automate flows, or Claude Skills, as an enablement pattern for business and IT partners.
Experience designing or implementing a semantic context layer using vector databases and/or knowledge graph architectures to support GenAI and RAG solutions.
Familiarity with enterprise AI and data governance and responsible AI frameworks.
Experience presenting to and influencing executive-level stakeholders.
Track record of driving organizational change and technology adoption at scale.

Responsibilities

Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
Set strategic technical direction for the AI Enablement team and promote engineering best practices, scalable architecture, and responsible AI development.
Partner with business leaders and domain-specific IT teams to translate business requirements into technical roadmaps and solutions.
Oversee delivery of multiple concurrent AI initiatives from ideation through production deployment and adoption.
Drive the design and development of AI/ML and GenAI solutions.
Promote low-code/no-code platforms such as Microsoft Copilot Studio and Power Automate, as well as Claude Skills, alongside traditional full-stack development.
Establish and enforce DevOps, CI/CD, and data governance practices to support reliable, secure, and compliant delivery.
Ensure solutions align with enterprise architecture, security, privacy, audit, and governance standards.
Advise business and IT partners on AI adoption strategy, use-case evaluation, and solutioning.
Build cross-functional relationships and foster collaboration among engineering, business, and governance stakeholders.
Report program progress, risks, and delivered value to senior leadership.