Senior Technology Transformation Leader – AI in Banking

EY; Cincinnati (OH); Remote; USD 152,000 - 346,000; Full time

Job summary

EY is seeking a Technology Consulting Senior Manager to lead end-to-end AI-enabled transformation programs within the Financial Services Organization. You will guide cross-disciplinary teams, drive strategy-to-operational deployment, and mentor junior consultants while engaging with senior clients across banking, insurance, and capital markets.

This role emphasizes responsible AI and risk governance. The ideal candidate has extensive experience in AI architectures, governance, and

Qualifications

• Bachelor's degree and 7–10 years in related work.
• 7+ years in technology delivery / program management.
• Hands-on experience in design, development and delivery of large-scale solutions.
• Experience with DevOps practices and software deployment.
• Data modeling and data lineage knowledge.
• Fluency across the AI lifecycle from strategy to deployment.
• Experience delivering enterprise AI architectures and governance.

Responsibilities

• Lead large-scale technology transformation engagements for financial services clients.
• Manage and mentor cross-functional engagement teams.
• Generate new business opportunities and translate client needs into AI-driven solutions.
• Shape AI-enabled transformation programs, architecture, and solution design to production.
• Advise stakeholders on AI operating models, risk, and governance.

Skills

AI Architecture

AI Governance

Banking domain

Program management

Leadership

Communication

Education

Bachelor's degree in Business/CS/Engineering/IS/Finance

Post-graduate degree

Job description

EY is seeking a Technology Consulting Senior Manager to lead end-to-end AI-enabled transformation programs within the Financial Services Organization. You will guide cross-disciplinary teams, drive strategy-to-operational deployment, and mentor junior consultants while engaging with senior clients across banking, insurance, and capital markets.

This role emphasizes responsible AI and risk governance. The ideal candidate has extensive experience in AI architectures, governance, and