Senior Manager - Financial Services - CTO, Semantic AI and Enterprise Transformation
Listed on 2026-09-01
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IT/Tech
Change Management, AI Business & Operations
Senior Manager - Financial Services - CTO, Semantic AI and Enterprise Knowledge Transformation
Location:
New York Other locations:
Primary Location Only Salary:
Competitive Date:
Aug 27, 2026
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 is the only professional services firm with a separate business unit ("FSO") that is dedicated to the financial services marketplace.
Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! The business problems our clients are facing today are not the same problems they have faced in the past.
The rapid pace of development in Artificial Intelligence and the technology that enables it has created an urgent need to innovate and adapt to the new global business paradigm. Financial institutions are looking to build smarter and more efficient ways to operate their business, create new revenue streams, and better manage risk, through new opportunities uncovered by their data. We believe that to fully unlock the potential of Artificial Intelligence, we need to look not only at its application, but also at the strategy level for how best to transform the enterprise into one that is technology and data focused and ready for the new age.
The opportunity This Senior Manager will serve as a strategic leader for EY FSO's enterprise knowledge transformation agenda, shaping how the firm captures, structures, governs, and scales proprietary knowledge across service lines. This role will provide vision and execution leadership for the design, implementation, productization, and adoption of ontology and knowledge graph capabilities that enable EY to move from siloed and localized know-how to scalable, reusable, machine-readable knowledge systems.
The role will align service lines, business units, technical teams, governance functions, and senior leadership around a common ontology strategy and operating model. The successful candidate will lead the development of enterprise knowledge graphs, semantic models, standards, governance practices, and adoption approaches that encode EY's subject matter expertise, methodologies, source-of-truth structures, data relationships, and institutional knowledge in a scalable form.
This individual will also act as a senior change leader, building teams, upskilling professionals, navigating organizational complexity, and demonstrating measurable business impact from ontology-enabled transformation across EY.
Your key responsibilities As a Senior Manager focused on Ontology, you will lead the end-to-end design, build-out, implementation, productization, and scaling of EY FSO's ontology and knowledge graph capabilities. You will be responsible for transforming how EY FSO captures, structures, encodes, governs, maintains, and distributes proprietary knowledge across service lines, helping shift the organization from localized and fragmented knowledge practices to enterprise-ready knowledge systems.
You will define and deliver an enterprise ontology strategy that connects information, expertise, methodologies, data, workflows, source-of-truth structures, and insights across the FSO organization. Working across service lines, business units, technical teams, governance functions, and senior leadership, you will design structured, interoperable, and machine-readable knowledge systems that support knowledge discovery, information extraction, semantic search, AI enablement, workflow standardization, and decision-making at scale.
The successful candidate will combine deep expertise in ontology, graph theory, knowledge graphs, semantic modeling, information architecture, and structured knowledge representation with practical experience leading complex transformation initiatives in large, matrixed, and regulated organizations. This is not solely a technical role; it requires a strategic and entrepreneurial leader who can move from ambiguity to execution, influence diverse stakeholders, build new capabilities where limited structure exists, and embed sustainable ways of working across EY.
Skills and attributes for success Define and lead the vision, objectives, scope, roadmap, governance model, delivery approach, success measures, and adoption strategy for EY's ontology-enabled knowledge transformation agenda across service lines, business units, and enterprise initiatives. Lead teams in the design, implementation, productization, and scaling of enterprise knowledge graphs, ontologies, taxonomies, semantic models, source-of-truth structures, and structured knowledge systems. Translate complex, fragmented, and inconsistent business knowledge into scalable ontological models that…
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