Financial Services - Solution Engineering - Technology Consulting - Senior Manager

EY; New York (NY); On-site; USD 182,000 - 377,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Job summary

Ernst & Young Advisory Services Sdn Bhd in New York is seeking a Senior Manager for Financial Services - Solution Engineering and Technology Consulting. You will lead large engineering teams, drive AI-first initiatives, and own multi-pod delivery from discovery to production.

You will partner with executives on strategic technology investments, governance, and modernizing core platforms with secure, scalable solutions. Strong consulting experience is expected.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Strong engineering judgment and ability to lead multiple teams.
• Experience delivering complex enterprise solutions from discovery to production.

Responsibilities

• Oversee multiple pods (15–25+ engineers) across client solutions and core platforms.
• Advise executives on AI-enabled solutions and technology investments.
• Direct multi-year architecture roadmap and API lifecycle governance.
• Shape opportunities with proposals, RFPs, and client demos.
• Own delivery across pods including scope, quality, and timelines.

Skills

Java

Python

APIs

Microservices

Cloud-native

CI/CD

Observability

Education

Bachelor’s degree in Computer Science or related field

Tools

Cloud platforms

AI governance

Job description

Financial Services - Solution Engineering - Technology Consulting - Senior Manager

Location: New York

Other locations: Anywhere in Region

Date: Oct 9, 2026

Requisition ID: 1751506

Location: New York, Chicago, Charlotte, Hoboken, Philadelphia, Columbus, Atlanta, Boston

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY’s financial services business unit ("FSO") is at the forefront of the industry’s major transformations. If you are passionate about combining people, engineering, and technology to solve complex challenges, join our FSO team.

The opportunity

Combining hands-on technical expertise, an AI-first mindset, and strong business understanding, you will lead multidisciplinary delivery (product, architecture, cloud, data, quality) from discovery and solution design through production and continuous improvement across full-stack, APIs, microservices, cloud-native, and generative and agentic AI, championing AI-assisted engineering and reusable accelerators without compromising quality, security, or accountability. Primary focus is Financial Services, with opportunities in healthcare, automotive, high-tech, and media.

Your key responsibilities

Oversee multiple pods (15–25+ engineers, including EMs and Tech Leads) across client solutions, product domains, or core financial platforms, operating at the intersection of enterprise architecture, hands‑on engineering leadership, organizational strategy, and executive advisory. Act as technical counterpart to VP/SVP sponsors, audit leadership, and C‑suite stakeholders, accountable for execution, operational readiness, and client outcomes.

Multi-Team & Manager Leadership

Coach EMs, Staff Engineers, and Tech Leads; drive hiring, succession, and inclusion; build pods with Data & AI and Cyber specialists across onshore/global teams, growing career paths and AI fluency.

Executive Advisory & Stakeholder Interaction

Advise executives (VP/SVP of Product, CIO/CTO, Chief Risk Officer, Business Unit Executives) on digital transformation, AI‑enabled solutions, agentic engineering practices, and long‑term technology investment.

Turn trade‑offs, modernization, and capex needs into executive business cases and board‑level presentations.

Lead technical discussions in internal audits, regulatory reviews, and key client interactions, including AI governance.

Enterprise Architecture & Solution Strategy

Direct the multi‑year architecture roadmap across Java, Python, and full‑stack platforms; govern the API lifecycle, cloud‑native modernization, multi‑region failover, and zero‑trust security; guide build‑vs‑buy and non‑functional requirements.

Define and operationalize an AI‑first SDLC strategy with AI‑assisted and agentic workflows, governance, IP protection, DORA/cycle‑time/quality/reliability metrics, and AI cost/ROI models, backed by human review, automated validation, and privacy/security controls, measured against baselines, not code volume.

AI-Enabled Solution Engineering

Integrate generative and agentic AI where there is a clear business case, partnering with Data & AI on models, grounding, and evaluation and owning production engineering (access, data, quality, latency, cost, oversight).

Turn client needs into prototypes and production solutions, and build documented reusable components, reference architectures, and accelerators with the Innovation team.

Client Pursuits & Solution Shaping

Shape opportunities with account and sector teams via proposals, RFPs, and demos with credible approaches, estimates, staffing models, and risks that become executable delivery plans.

Delivery & Outcome Ownership

Own delivery across pods (scope, dependencies, quality, risk, budget, timelines), release readiness, observability, production support, and handover. Agree success measures with clients and track value, adoption, reliability, and continuous improvement after launch.

Strategic Change Management

Guide transformations from legacy monoliths to contract‑driven microservices and stream‑aligned squads. Embed AI‑enabled ways of working through training, adoption support, and clear accountability, sequencing change to protect business continuity and measuring impact on delivery and client outcomes.

Skills and attributes for success

Ability to prioritize and lead multiple pods in a fast‑paced, collaborative environment, with travel as required.

Excellent written and oral communication for executives and engineers; publishing and presentation skills a plus.

Strong engineering judgment to turn ambiguous needs into designs and plans, challenge architecture, and resolve delivery issues.

Practical, responsible AI judgment balancing value and speed with quality, security, and privacy.

Collaborative leadership supporting learning, inclusion, and accountability across onshore and global teams.

To qualify for the role you must have

Bachelor’s degree in Computer Science or other related field.

Leading multiple engineering teams and developing EMs, Tech Leads, or senior technical specialists.

Delivering complex enterprise solutions from discovery and architecture through production and improvement.

Strong technical depth in Java and/or Python, APIs, microservices, cloud‑native, and full‑stack delivery, plus CI/CD, testing, secure development, and observability.

Practical experience introducing AI‑assisted engineering tools (adoption, evaluation, governance); working knowledge of generative/agentic AI integration (evaluation, security, latency, cost).

Advising senior stakeholders, managing delivery risk, and linking technology decisions to business outcomes.

Delivery in Financial Services or similarly regulated environments (security, auditability, operational resilience).

Ideally, you’ll also have

Production AI-enabled applications or agentic workflows with evaluation and human oversight.

Consulting pursuits, solution proposals, technical demonstrations, and delivery estimates.

Reusable assets, accelerators, or platforms adopted by multiple teams; coordinating onshore/global delivery teams.

Relevant cloud, architecture, security, or AI certifications backed by delivery experience.

What we offer you

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
• 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
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

EY | Building a better working world

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.

All in to shape the future with confidence.

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