Technology Manager - Finance AI Enablement

ZipStaff is seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team at a major healthcare organization. You will architect and deliver AI solutions while enabling business and IT partners on their AI adoption journey. This role combines people leadership, technical direction, and end-to-end delivery of AI/ML and GenAI initiatives in a regulated enterprise environment.

What You’ll Do:

• 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, including scalable architecture and responsible AI practices.
• Partner with business leaders and domain IT teams to translate requirements into technical roadmaps and solutions.
• Oversee end-to-end delivery of multiple concurrent AI initiatives - from ideation through production deployment and adoption.
• Drive design and development of AI/ML and GenAI solutions.
• Champion low-code/no-code platforms (Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development.
• Establish and enforce DevOps, CI/CD, and data governance practices
• Operate within a regulated enterprise environment aligned to architecture, security, privacy, audit, and governance standards.
• Act as a trusted advisor on AI adoption strategy, use-case evaluation, and solutioning.
• Report program progress, risks, and value delivered to senior leadership.

• 8+ years of people-management experience building, leading, and developing engineering teams.
• 7+ years of hands-on software development in cloud and distributed environments.
• Demonstrated experience building AI/ML solutions, including exposure to GPT / Gemini / Claude models, Vertex AI, RAG, GenAI, and agentic AI workflows/orchestration.
• Proficiency in Python and full-stack development, including API design.
• Hands-on experience with Azure and/or GCP and container orchestration using Kubernetes.
• Experience with vector databases supporting AI/ML and GenAI solutions.
• Experience with major cloud AI/ML platforms (Vertex AI, Azure OpenAI, or AWS Bedrock).
• Strong proficiency in SQL, data analytics, and automation.
• Proven DevOps and CI/CD experience.
• Experience operating in a regulated enterprise environment (architecture, security, privacy, audit, governance).
• Excellent communication skills; able to engage business leaders and translate requirements into technical plans.
• Strong program management skills across multiple concurrent initiatives.
• Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
• Must be legally authorized to work in the United States without sponsorship now or in the future., * Experience within Finance or a similar regulated financial-services function.
• Prior experience establishing or scaling an AI Enablement function or AI Center of Excellence.
• Experience with agentic AI frameworks and orchestration tools.
• Experience building low-code/no-code AI solutions (Copilot Studio agents, Power Automate, Claude Skills).
• Experience designing a semantic context layer using vector databases and/or knowledge graphs.
• Familiarity with enterprise AI/data governance and responsible AI frameworks.
• Experience presenting to and influencing executive stakeholders.