Senior Tech Transformation Lead – AI & Banking

EY; Rogers (AR); On-site; USD 152,000 - 393,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Vacation and personal days

Training and development programs

Job summary

EY is seeking a technology consulting senior manager to lead end-to-end technology transformation engagements in the financial services sector. You will guide AI-enabled programs, collaborate with global teams, and drive value through strategy, architecture, and delivery.

The role demands deep fluency across the AI lifecycle, governance, and risk controls, with an emphasis on responsible AI and scalable solutions across cloud and on-prem environments.

Qualifications

• Bachelor’s degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or related field.
• 7–10 years of related work experience in professional services or industry (financial services, technology).
• 7+ years of experience in technology delivery project/product management.
• Hands-on experience delivering end-to-end technology transformation engagements for financial services.

Responsibilities

• Lead large-scale technology transformation engagements in banking and financial services.
• Manage diverse client engagement teams and provide coaching and feedback.
• Shape AI-enabled transformation programs from use-case to deployment.
• Advise on AI operating models, governance, and risk controls for regulated environments.

Skills

Business process design

DevOps

QA & Testing

Data modeling

AI lifecycle

AI architectures

Cloud & hybrid

Governance

Responsible AI

Education

Bachelor's degree in Business/CS/Engineering/IS Management/Finance or related field

Job description

EY is seeking a technology consulting senior manager to lead end-to-end technology transformation engagements in the financial services sector. You will guide AI-enabled programs, collaborate with global teams, and drive value through strategy, architecture, and delivery.

The role demands deep fluency across the AI lifecycle, governance, and risk controls, with an emphasis on responsible AI and scalable solutions across cloud and on-prem environments.