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About the Role

At EY, we are looking for leaders with a genuine creative vision and the confidence to make it happen. This role offers autonomy, requiring initiative and the ability to seek out opportunities to improve current relationships and processes. We seek individuals who are serious about auditing and ready to take on complex client issues, staying current across the evolving AI landscape, distinguishing durable capabilities from trends, and confidently guiding clients from ambition to responsible implementation.

Responsibilities

Lead large scale engagements and consistently deliver high-quality client services based on extensive knowledge and experience in technology transformation and banking.
Lead practitioners throughout the creation and successful delivery of work products.
Lead the team along with program leads and key SMAs to ensure a cohesive and comprehensive solution will be delivered on-time and on-budget.
Manage and lead client engagement teams with diverse skills and backgrounds, fostering an innovative and inclusive team-oriented work environment.
Provide constructive on-the-job feedback/coaching to team members.
Provide counseling and mentoring to junior consultants within the organization.
Generate new business opportunities, understand EY and its service lines, and actively assess/present ways to serve clients.
Shape and lead AI-enabled transformation programs.
Translate business priorities into secure and scalable AI architectures.
Guide multidisciplinary teams from use-case identification and solution design through implementation, production deployment, monitoring and continuous improvement.
Advise senior client stakeholders on AI operating models, investment choices, value realization, responsible AI and the control environment required for regulated banking organizations.

Requirements

A bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field and at least 7-10 years of related work experience.
A minimum of 7 years of professional work experience with a mid-to-large size public accounting firm, professional consulting firm, or within industry (financial services, technology).
A minimum of 7 years of experience in technology delivery project /product management.
Hands-on experience in leading the design, development and delivery of solutions or infrastructure and large-scale programs including: Business process and workflow design, Business requirements definition, analysis, and mapping, Ability to design and create an effective IT environment for business operations, aligned to the overall business purpose and activities, Knowledge of development and operations (DevOps) practices for software configuration, integration and deployment to various platforms and operating environments, Quality Assurance and Testing, Data modeling and lineage.
Demonstrated fluency across the full AI technology stack, including AI strategy, use-case portfolio design, data and knowledge architectures, machine learning, deep learning, generative AI, large language models, retrieval-augmented generation, agentic AI and intelligent automation.
Hands-on experience defining and delivering enterprise AI architectures, including model and application layers, orchestration, APIs, cloud and hybrid infrastructure, integration patterns, vector and knowledge stores, security, observability and performance engineering.
Experience implementing AI solutions from proof of concept through production, including data preparation, model selection or development, prompt and context engineering, evaluation, testing, deployment, scaling, monitoring, incident management and ongoing optimization.
Deep understanding of AI control planes and lifecycle management, including model and prompt registries, policy enforcement, access controls, lineage, versioning, approval workflows, deployment gates, telemetry, cost management and retirement.
Practical knowledge of responsible AI and model risk management in regulated environments, including governance, explainability, fairness and bias testing, privacy, cybersecurity, intellectual property, third-party risk, human oversight, regulatory compliance and auditability.
Ability to assess and select AI platforms, foundation models, tooling and vendors based on business fit, architecture, security, risk, interoperability, performance, scalability and total cost of ownership.
Ability to communicate complex AI concepts clearly to boards, executives, risk and control functions, business leaders, architects, engineers and delivery teams, while connecting technical decisions to measurable business outcomes.
Demonstrated experience in Banking (Consumer, Commercial banking or Payments) specifically in one of the following domains: Mortgages, Auto, Home Equity Originations and Servicing, Deposit and Loan Operations, ATM, Debit, Prepaid Cards, ACH, Wires, Treasury Management, Investments, Credit Processes, Payment Products and Lifecycle, Payment Authorization and Clearing, Risk, Regulatory, and Strategic Oversight.
At least 7 years of experience in managing and supervising teams of professional employees and mentoring team members through development feedback and performance processes.
Understanding of key technology and services vendors and products supporting the lending industry.
Strong analytical skills; specifically, the ability to diagnose end-to-end lending originations and servicing operations to identify opportunities to improve performance and effectiveness; six-sigma certification or exposure to other process improvement methodologies a plus.
Exceptional core consulting skills (e.g., creative thinking, problem solving, client and stakeholder management).
Extensive experience in leading large client engagement teams.
Excellent oral and written communication skills.
Willingness to travel up to 80%.

Skills

Technology transformation
Banking
AI strategy
Use-case portfolio design
Data and knowledge architectures
Machine learning
Deep learning
Generative AI
Large language models
Retrieval-augmented generation
Agentic AI
Intelligent automation
Enterprise AI architectures
Model and application layers
Orchestration
APIs
Cloud infrastructure
Hybrid infrastructure
Integration patterns
Vector and knowledge stores
Security
Observability
Performance engineering
AI control planes
Lifecycle management
Model and prompt registries
Policy enforcement
Access controls
Lineage
Versioning
Approval workflows
Deployment gates
Telemetry
Cost management
Retirement
Responsible AI
Model risk management
Governance
Explainability
Fairness and bias testing
Privacy
Cybersecurity
Intellectual property
Third-party risk
Human oversight
Regulatory compliance
Auditability
AI platforms
Foundation models
Tooling
Vendors
Business process and workflow design
Business requirements definition, analysis, and mapping
IT environment design
DevOps practices
Software configuration
Integration
Deployment
Quality Assurance
Testing
Data modeling
Data lineage
Program management
Project management
Analytical skills
Process improvement methodologies
Creative thinking
Problem solving
Client management
Stakeholder management
Communication skills

Location

Anywhere in Country

Work Type

Full-time
Onsite

Experience Level

Senior Manager
7-10 years of related work experience
7 years of professional work experience
7 years of experience in technology delivery project /product management
7 years of experience in managing and supervising teams

Education Level

Bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field
Post-graduate / Graduate degree in Computer Science, Engineering, Information Systems Management, Finance or a related field
Certifications in Program and/or Project Management Practices (e.g., PgMP, PMP, Agile (Scrum, Scaled etc.))
Relevant AI, cloud, data, architecture, machine learning or responsible AI certifications

Salary/Compensations

New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000

Benefits

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence
Training and development prospects

About the Company

EY is a global leader in assurance, tax, transaction and advisory services.
We hire and develop the most passionate people in their field to help build a better working world.
Our culture believes in giving you the training, opportunities and creative freedom to make things better.
The exceptional EY experience lasts a lifetime.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.