FSO - Banking - Technology Consulting - Senior Manager - Location OPEN

EY • Hartford, DC

3d • $151,500 - $393,200

About The Position

EY is hiring a Senior Manager for its Financial Services Organization’s Banking Technology Consulting practice. The role leads large-scale technology transformation engagements for banking clients, with a strong focus on guiding responsible, enterprise-scale AI adoption. The Senior Manager translates business priorities into secure and scalable AI architectures and leads multidisciplinary teams through use-case identification, solution design, implementation, production deployment, monitoring, and continuous improvement. The position advises senior client stakeholders on AI operating models, investment decisions, value realization, responsible AI, and controls for regulated banking organizations.

The role also involves leading client teams and delivery with program leads and subject matter advisors, developing client relationships and new business opportunities, and mentoring and coaching team members. The position is open to candidates anywhere in the country and may require travel up to 80%.

Requirements

• Bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field.
• At least 7–10 years of related work experience.
• At least 7 years of professional work experience with a mid-to-large public accounting firm, professional consulting firm, or within financial services or technology industry.
• At least 7 years of experience in technology delivery project or product management.
• Hands-on experience leading the design, development, and delivery of solutions or infrastructure and large-scale programs.
• Experience with business process and workflow design; business requirements definition, analysis, and mapping; and designing IT environments aligned with business purpose and activities.
• Knowledge of DevOps practices for software configuration, integration, and deployment across platforms and operating environments.
• Experience with quality assurance and testing, data modeling, and data lineage.
• Fluency across the 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 taking AI solutions from proof of concept to 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 technical and nontechnical stakeholders and connect technical decisions to measurable business outcomes.
• Demonstrated banking experience in consumer banking, commercial banking, or payments in at least one of these domains: mortgages, auto, or home equity originations and servicing; deposit and loan operations, ATM, debit, prepaid cards, ACH, or wires; treasury management, investments, or credit processes; payment products and lifecycle, payment authorization and clearing; or risk, regulatory, and strategic oversight.
• At least 7 years of experience managing and supervising 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, including diagnosing end-to-end lending originations and servicing operations to identify opportunities to improve performance and effectiveness.
• Exceptional consulting skills, including creative thinking, problem solving, and client and stakeholder management.
• Extensive experience leading large client engagement teams.
• Excellent oral and written communication skills.
• Willingness to travel up to 80%.

Nice To Haves

• Postgraduate or graduate degree in Computer Science, Engineering, Information Systems Management, Finance, or a related field.
• Certifications in program or project management practices, such as PgMP, PMP, or Agile (Scrum, Scaled, etc.).
• Relevant AI, cloud, data, architecture, machine learning, or responsible AI certifications, and evidence of continued learning as AI technologies, standards, and regulatory expectations evolve.
• Six Sigma certification or exposure to other process improvement methodologies.

Responsibilities

• Lead large-scale technology transformation engagements and deliver high-quality client services in banking.
• Lead engagement teams and work with program leads and subject matter advisors to deliver cohesive solutions on time, within budget, and to client satisfaction.
• Shape and lead AI-enabled transformation programs, translating business priorities into secure and scalable AI architectures.
• Guide multidisciplinary teams through AI use-case identification, solution design, implementation, production deployment, monitoring, and continuous improvement.
• Advise senior client stakeholders on AI operating models, investment choices, value realization, responsible AI, and control environments for regulated banks.
• Manage and lead diverse client engagement teams, foster an innovative and inclusive environment, and provide constructive feedback and coaching.
• Counsel and mentor junior consultants and support their development.
• Generate new business opportunities, understand EY service lines, and identify and present ways to serve clients.
• Communicate complex AI concepts to executives, risk and control functions, business leaders, architects, engineers, and delivery teams, linking technical decisions to business outcomes.

Benefits

• Medical and dental coverage.
• Pension and 401(k) plans.
• At least 15 days of vacation plus ten observed holidays and three paid personal days, as described in the posting.
• Flexible vacation policy and paid holidays, winter and summer breaks, personal/family care, and other leave options.
• Programs and benefits supporting physical, financial, and social well-being.
• Training and development through established programs and on-the-job training.
• Opportunity to manage a portfolio of talent within a designated service line.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior