Financial Services - Solution Engineering - Technology Consulting - Senior Manager

EY; Boston (MA); On-site; USD 180,000 - 280,000; Full time

Job summary

EY is seeking an executive AI and engineering leader to guide multi‑team delivery across financial services and other industries. You will partner with executives to shape digital transformations, drive AI‑assisted engineering, and build reusable accelerators.

You will oversee large pods, manage architecture roadmaps, and ensure quality, security, and value delivery across complex programs. A Bachelor’s in CS is required, with deep Java/Python and cloud experience.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Experience leading multiple engineering teams (EMs/Tech Leads) and developing senior technical specialists.
• Delivery of complex enterprise solutions from discovery through production and improvement.
• Strong technical depth in Java and/or Python, APIs, microservices, cloud‑native, CI/CD, testing and secure development practices.

Responsibilities

• Oversee multiple pods (15–25+ engineers) across client solutions and product domains.
• Advise executives on digital transformation and AI‑enabled solutions.
• Lead technical discussions in audits, regulatory reviews, and client interactions including AI governance.
• Direct roadmaps across Java, Python, APIs, microservices, and cloud‑native platforms.
• Define AI‑first SDLC with governance, validation, and cost/ROI models.
• Turn client needs into prototypes, reference architectures, and accelerators.
• Shape opportunities with accounts via proposals, RFPs, and demos.
• Own delivery, release readiness, observability, and post‑launch improvement.

Skills

Strategic leadership

Executive advisory

Multidisciplinary delivery

AI‑first mindset

Java and/or Python

APIs and microservices

Cloud‑native architecture

CI/CD and quality

Education

Bachelor’s degree in Computer Science or related field

Tools

Java

Python

APIs

CI/CD

Job description

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.

Transformative SDLC & AI Strategy

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).

Solution Development, Innovation & Reuse

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