Senior Manager, Technology Sector - Hands-on Solution and Graph/Ontology Architect

EY delivers technology consulting services in data strategy, business intelligence, digital, machine learning, and artificial intelligence. We help clients connect business priorities with practical technology solutions and measurable outcomes.

The opportunity

You will design and deliver enterprise data, generative AI and agentic AI solutions across Technology-sector clients. This role combines hands-on engineering with senior architecture leadership, client discovery and solution development across multiple engagements.

As a Senior Manager, you will connect data platforms, semantic layers, knowledge graphs and AI agents into governed, production-ready solutions. You will lead forward-deployed engineering (FDE) teams from discovery and proof of concept through implementation, evaluation and operational readiness. You will also support pursuits and help clients translate business problems into practical AI and data solutions.

Your key responsibilities

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will manage professional employees or supervise team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

• Lead technical discovery and design workshops to identify business requirements, use cases, data needs and delivery constraints.
• Architect and build generative AI solutions combining large language models, retrieval-augmented generation (RAG), multi-agent workflows and enterprise knowledge graphs.
• Design enterprise semantic layers and governed context that connect structured data, documents and business concepts for AI and natural-language analytics.
• Design and implement knowledge graphs using Stardog and Neo4j, with ontology modeling based on Resource Description Framework (RDF) and Web Ontology Language (OWL).
• Build graph-based retrieval-augmented generation (GraphRAG) solutions and integrate graph-enabled retrieval with enterprise AI applications.
• Design agent orchestration and interoperability using Model Context Protocol (MCP) and Agent-to-Agent (A2A) interfaces. Integrate agents with enterprise applications, tools and data.
• Define and implement AI evaluation, guardrails, observability, security, privacy, audit evidence and human-review controls.
• Design multi-cloud and hybrid AI architectures and modernize supporting data platforms for reliable production delivery.
• Build proofs of concept and reusable components, validate architecture decisions through hands-on engineering and guide solutions into production.
• Lead and mentor data and AI engineers. Coordinate with platform, security and business teams to manage quality, risks and delivery dependencies.
• Support client discussions, proposals and solutions shaping across enterprise AI platforms, process transformation, governed analytics and data modernization.

Skills and attributes for success

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• Combine data engineering, semantic modeling, AI engineering and software engineering within a connected solution.
• Translate business processes and information needs into practical agent workflows and governed data access.
• Work hands-on to test assumptions, resolve technical issues and demonstrate implemented solutions.
• Explain architecture choices, AI limitations and control requirements clearly to technical and business stakeholders.
• Balance rapid experimentation with evaluation, security, reliability and production delivery requirements.
• Lead inclusive engineering teams and create reusable approaches that support multiple client engagements.

To qualify for the role, you must have:

• A bachelor's degree in STEM discipline.
• 12+ years of relevant experience in data analytics, cloud solutions and AI, including hands-on solution architecture and engineering.
• Demonstrated experience designing and implementing generative AI architectures that combine large language models, RAG, multi-agent workflows and knowledge graphs.
• Hands-on experience with Stardog and Neo4j, semantic knowledge graphs, ontology modeling, RDF and OWL standards, and GraphRAG.
• Experience designing enterprise semantic layers, enterprise context platforms and governed natural-language analytics.
• Experience with agent orchestration, MCP and A2A interfaces, and integration of AI agents with enterprise applications and data.
• Experience implementing AI evaluation frameworks, guardrails, observability, human review and responsible AI controls.
• Strong enterprise data architecture and engineering fundamentals, including data integration, modeling, quality, security and production-grade delivery.
• Experience designing multi-cloud or hybrid AI and data solutions and integrating platform, application and security requirements.
• Hands-on coding and software engineering capability sufficient to build, integrate, test and troubleshoot AI and data solutions.
• Experience leading engineering teams, mentoring technical professionals and communicating with senior client stakeholders.
• Ability to travel up to 60% depending on client need.

Ideally, you'll also have:

• A master's degree in computer science, Information Systems, Data Science, Machine Learning or a related discipline, or comparable professional experience.
• Experience with Snowflake and modern enterprise data platforms.
• Experience with Azure AI platforms or environments combining Oracle, Gemini and BigQuery.
• Experience applying AI to Finance, quote-to-cash, contracts, order management, revenue recognition, reconciliations and exception handling.
• Experience with enterprise AI platform foundations, shared context layers, model selection and interoperability across Microsoft and non-Microsoft agents.
• Experience supporting consulting pursuits, building reusable accelerators and delivering solutions across Technology-sector accounts.

#FY27NATAIDE

What we look for

We are looking for a hands-on technical leader who can connect enterprise data, semantic context, knowledge graphs, and AI agents into working solutions. You bring engineering depth, clear client communication, and disciplined delivery. You can move from discovery to code, lead teams through implementation and ensure that AI solutions remain governed, observable and fit for production.

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.

• The salary range for this job is:
  • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000
  • Bay Area California offices – $180,000 to $374,000
  • All other offices locations in the US, including Sacramento – $144,000 to $329,100
• 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.

Are you ready to shape your future with confidence? Apply today.                                          

• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click herefor additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people.  Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

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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