Financial Services - Solution Engineering - Technology Consulting - Manager

Location:

New York

Other locations:
Anywhere in Region

Location:

New York City, 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 dynamic FSO team!

The opportunity

As a Solution Engineering Manager, you will lead a multidisciplinary squad to take solutions from discovery and design through production and continuous improvement across full-stack development, APIs and microservices, cloud-native platforms, and generative and agentic AI, with an AI-first mindset and security and responsible AI at the core. While our primary focus is Financial Services, you will have opportunities to support healthcare, automotive, high-tech, and media.

Your key responsibilities

Lead a squad of 5–8 engineers building mission-critical financial platforms and AI-enabled client solutions, acting as trusted technical advisor to Product, Business Unit, and Risk/Compliance partners. Own squad execution from requirements and estimation through release, operational handover, and continuous improvement, escalating cross-domain decisions to architecture and delivery leaders.

Manage, mentor, and grow 5–8 engineers through 1:1s, performance reviews, and career planning; build AI fluency, support hiring, and foster an inclusive, accountable culture across onshore and global members.

Own your pod’s architecture: service boundaries, fault tolerance (circuit breakers, sagas), and Java/Python integration contracts, with explicit NFRs and documented trade-offs aligned with enterprise architecture standards.

Consultative Stakeholder Advisory

Advise Product and Business Operations on feasibility, buy-vs-build, and technical debt.

Provide early input on regulatory impacts (SOC2, PCI-DSS) as applicable, working with Risk, Compliance, and Security specialists rather than independently determining compliance.

Lead discovery workshops and demos, communicating progress, risks, and trade-offs in business terms.

Operationalizing SDD & AI-Enabled Engineering Practices

Institutionalize SDD governance and agentic code generation with quality and security guardrails, human review, and data/IP protection, measuring cycle time, quality, and reliability rather than code volume.

AI-Enabled Solution Delivery

Integrate generative and agentic AI where there is a clear use case, partnering with Data & AI specialists and owning testing, access controls, monitoring, human oversight, latency, and cost.

Cross-Pod Alignment & Delivery

Partner with peer EMs, QA, and Platform teams to de-risk multi-service releases. Lead the squad in delivering new and existing applications, stay hands-on in design and code reviews, manage backlog, capacity, and dependencies, and ensure release readiness, observability, and support handover.

Build documented, tested accelerators with Innovation; support proposals, RFPs, demos, prototypes, estimates.

Skills and attributes for success

Ability to prioritize and lead a squad in a fast-paced environment, with travel as required.

Excellent written and oral communication, explaining technical trade-offs to non-technical stakeholders; writing, publishing, and conference-level presentation skills a plus.

Ability to turn ambiguous business needs into actionable designs and delivery plans.

Hands-on engineering judgment to…