Senior Manager - Software Development Engineering

CVS Health•Scottsdale, MA

1d•$106,605 - $260,590

About The Position

CVS Health is seeking a highly experienced technology manager to lead the Finance Technology AI Enablement engineering team. The role provides strategic direction for the team, champions engineering best practices, and oversees the delivery and enablement of AI solutions across the enterprise. The team partners with business and IT stakeholders to evaluate and prioritize enterprise initiatives and build AI-enabled solutions. The position leads multiple concurrent initiatives across business domains in a fast-paced environment, from ideation through production deployment and adoption. The role involves developing strong relationships with business stakeholders and domain-specific IT application development teams, advising partners on AI adoption strategy and solutioning, and delivering measurable business value. Work takes place in a regulated enterprise environment and must align with formal architecture, security, privacy, audit, and governance standards.

Requirements

At least 8 years of people management experience, including building, leading, and developing high-performing engineering teams.
At least 5 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 and container orchestration using Kubernetes.
Experience working with vector databases for 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 with business leaders and translate 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 multiple concurrent initiatives in a fast-paced environment.
Bachelor’s degree or higher 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 an engineering team focused on AI/ML and GenAI solution delivery.
Set the AI Enablement team’s technical direction and promote engineering best practices, scalable architecture, and responsible AI development.
Partner with business leaders and domain-specific IT teams to translate requirements into technical roadmaps and solutions.
Oversee multiple AI initiatives from ideation through production deployment and adoption.
Drive the design and development of AI/ML and GenAI solutions.
Use low-code/no-code platforms such as Microsoft Copilot Studio and Power Automate, as well as Claude Skills, alongside traditional full-stack development to accelerate delivery.
Establish and enforce DevOps, CI/CD, and data governance practices for 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.