Financial Services - Solution Engineering - Technology Consulting - Senior Manager

EY • Atlanta, GA

1d • $151,500 - $393,200 • Hybrid

About The Position

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. 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.

Requirements

• 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).

Nice To Haves

• 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.

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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• medical and dental coverage
• pension and 401(k) plans
• a wide range of paid time off options
• flexible vacation policy
• designated EY Paid Holidays
• Winter/Summer breaks
• Personal/Family Care
• other leaves of absence

What This Job Offers

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