Senior Technology Manager – Finance AI Enablement

ZipStaff•Irving, TX

13h•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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.

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, 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.