Senior Data Consultant - Graph & Semantics

Capco; New York (NY); On-site; USD 111,000 - 150,000; Full time

Job summary

Capco is seeking a Senior Data Consultant specializing in Graph & Semantics to enhance data management and semantic technologies for financial services clients. The ideal candidate will have extensive experience in knowledge representation, data modeling, and a strong background in AI and machine learning, contributing to innovative solutions and strategic partnerships in a dynamic consulting environment.

Benefits

Medical, dental, vision insurance

401(k)

Tuition reimbursement

Qualifications

• 5+ years of experience with Knowledge Representation and Semantic Technologies.
• Proficiency in Python, Java, or C-based languages.
• Experience delivering knowledge graph projects.

Responsibilities

• Design, develop, and maintain ontologies for knowledge graph initiatives.
• Implement and optimize knowledge graphs using RDF, OWL, and graph databases.
• Collaborate with data teams to integrate ontologies into AI/ML models.

Skills

Knowledge Representation

Semantic Technologies

Data Management

NLP

Machine Learning

Graph Technologies

Education

Bachelor’s or Master’s degree in Computer Science, Information Science, Data Science

Tools

RDF

OWL

SPARQL

Neo4j

GraphDB

Job description

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About The Team

Capco’s Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client’s business goals. As digital technologies advance and regulations tighten, today’s consumers – and, therefore, today’s businesses – are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting.

About The Job

Financial services firms are increasingly turning to graph and semantic technologies to unlock value from complex, siloed data. These tools—powered by AI and knowledge graphs—enable deeper insights by linking structured and unstructured information in ways that are both human- and machine-readable. This role focuses on helping clients design and implement such solutions, while also growing Capco’s Data Practice through thought leadership, talent development, and strategic partnerships. The ideal candidate will drive innovation, support business development, and stay ahead of emerging trends in semantic graph technologies.

What You’ll Get To Do

• Design, develop, and maintain ontologies to support knowledge graph initiatives and enterprise data management.
• Work with stakeholders to define data relationships, taxonomies, and semantic models to enhance data interoperability.
• Implement and optimize knowledge graphs using technologies such as RDF, OWL, SPARQL, and graph databases (e.g., Neo4j, Stardog, or Amazon Neptune).
• Collaborate with data scientists, engineers, and business teams to integrate ontologies into AI/ML models and enterprise applications.
• Ensure ontology alignment with industry standards (e.g., W3C, schema.org, FIBO) and evolving business requirements.
• Perform data modeling, entity resolution, and graph-based analytics to derive insights from structured and unstructured data.
• Develop and maintain documentation for ontology models, data dictionaries, and governance policies.
• Stay updated on advancements in graph technologies, semantic web, and linked data best practices.

What You’ll Bring With You

• Bachelor’s or Master’s degree in Computer Science, Information Science, Data Science, or a related field.
• 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g., OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data management.
• Proficiency in at least one of the following languages: Python, Java, C-based languages.
• Working knowledge of several Graph/Triple Stores and related technologies, e.g., Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé, Poolparty.
• Experience delivering knowledge graph projects including data acquisition, modelling, pipelines, and visualization.
• Experience managing technology projects with large datasets.
• Excellent communication skills – be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies.
• Experience in the financial services domain is a plus.
• Ability to utilize NLP, machine learning, and semantic text mining to translate data into machine-understandable representations to support advanced analytics, classification, inference processing, and knowledge extraction.
• Experience with Agile frameworks, e.g., Scrum, Kanban, Extreme Programming.

Why Capco?

A career at Capco offers the chance to help reshape the financial services landscape. We launch new banks, transform existing ones, and guide clients through complex change. As consultants, we cover everything from business design to technology implementation.

We are the largest Financial Services-focused consultancy in the world, serving global banks, FinTechs, and more, across strategy, digital transformation, design, data & analytics, cyber, cloud, and engineering.

Capco maintains an entrepreneurial, growth-oriented culture with minimal bureaucracy, offering rapid learning, challenging projects, and quick promotions. We pride ourselves on our diverse, inclusive culture where everyone can #BYAW.

Our benefits include medical, dental, vision insurance, a 401(k), tuition reimbursement, and a focus on innovation and lasting value creation.

Ready to take the Next Step

If this sounds like you, we want to hear from you. Join us to make a difference in a growing company.

Be aware of recruitment scams. All official communication will be via Capco recruiters.

US Pay Range: $111,000—$150,000 USD

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology