Capco | Data & Analytics | New York, NY
About the RoleCapco is seeking a hands-on Senior Consultant to design and deliver semantic data solutions that make enterprise information usable by artificial intelligence, machine learning, analytics, and business applications.
This role is ideal for a versatile consultant who can contribute across knowledge-graph development, AI solution engineering, semantic modeling, and data-pipeline delivery. Depending on project needs, you may work as a knowledge-graph engineer, semantic modeler, AI engineer, data engineer, technical analyst, or workstream lead.
You will collaborate with client stakeholders, architects, data scientists, AI engineers, and data engineers to connect structured and unstructured information, create machine-understandable knowledge models, and deliver trusted data foundations for AI. This is a hands-on delivery role requiring participation in modeling, coding, integration, testing, documentation, and production implementation.
What You’ll Do- Design and build knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products.
- Translate business concepts, data models, policies, documents, and subject-matter expertise into machine-readable semantic models.
- Develop data pipelines that acquire, transform, map, validate, enrich, and load information from databases, APIs, files, documents, and cloud platforms.
- Integrate knowledge graphs with generative AI, retrieval-augmented generation, GraphRAG, semantic search, machine learning, and intelligent-agent solutions.
- Support NLP and document-intelligence use cases, including entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction.
- Combine graph data, metadata, vector search, business rules, and model outputs to improve AI grounding, accuracy, explainability, and traceability.
- Develop Python- or Java-based data transformations, APIs, services, validation routines, and integration components.
- Prepare and manage data used for AI retrieval, model evaluation, inference, and analytics.
- Implement semantic-data quality controls, including SHACL validation, provenance, lineage, confidence scoring, and version management.
- Participate in graph-platform evaluations, proofs of concept, architecture decisions, performance testing, and production deployments.
- Create automated tests and support CI/CD, monitoring, troubleshooting, and production-support activities.
- Facilitate requirements and modeling sessions with business and technical stakeholders.
- Produce technical designs, semantic models, mappings, test cases, deployment documentation, and operational procedures.
- Lead defined technical workstreams and mentor junior consultants, engineers, and analysts.
- Contribute to reusable solution patterns, demonstrations, accelerators, proposals, and client presentations.
- Four to six years of experience in data engineering, software engineering, artificial intelligence, analytics, knowledge management, or a related technology discipline.
- Two or more years of hands-on experience with knowledge graphs, semantic technologies, graph databases, semantic-data integration, or closely related solutions.
- Working knowledge of semantic standards such as RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, or Turtle.
- Experience with at least one graph platform such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or an equivalent technology.
- Proficiency in Python, Java, or another enterprise programming language.
- Experience developing data pipelines, transformations, APIs, automated tests, or production integrations.
- Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM-based applications.
- Experience integrating structured data with unstructured content such as policies, contracts, research, communications, or operational documents.
- Familiarity with one or more cloud or modern data platforms, including Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift.
- Understanding of relational, graph, document, vector, and lakehouse data architectures.
- Familiarity with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices.
- Strong analytical, problem-solving, documentation, and communication skills.
- Ability to work across multiple technical roles, learn unfamiliar technologies, and contribute throughout the delivery lifecycle.
Experience in financial services or another regulated industry is preferred. Familiarity with data governance, metadata management, entity resolution, master data, responsible AI, model risk, regulatory reporting, or data privacy is advantageous.
A bachelor’s degree or equivalent professional experience in computer science, data science, information systems, engineering, linguistics, mathematics, or a related discipline is preferred. Relevant cloud, data-engineering, AI/ML, Agile, or graph-technology certifications are a plus.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
- Medical, Dental and Vision.
- 401k match.
- Maternity and paternity leave and dependent care.
- Tuition reimbursement and wellness reimbursement.
- Working Advantage (discounted marketplace), HSA, FSA, and commuter benefits.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
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Skills Required
- 4-6 years of experience in data engineering, software engineering, AI, analytics, knowledge management, or related discipline.
- 2+ years hands-on experience with knowledge graphs, semantic technologies, graph databases, or semantic-data integration.
- Working knowledge of semantic standards: RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, Turtle.
- Experience with at least one graph platform (Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or equivalent).
- Proficiency in Python, Java, or another enterprise programming language.
- Experience developing data pipelines, transformations, APIs, automated tests, and production integrations.
- Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG/GraphRAG, or LLM-based applications.
- Experience integrating structured data with unstructured content (policies, contracts, documents) and preparing data for AI retrieval and evaluation.
- Familiarity with cloud or modern data platforms: Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift.
- Understanding of relational, graph, document, vector, and lakehouse data architectures.
- Familiarity with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices.
- Strong analytical, problem-solving, documentation, and communication skills; ability to lead technical workstreams and mentor junior staff.
- Experience in financial services or another regulated industry.
- Familiarity with data governance, metadata management, entity resolution, master data, responsible AI, model risk, regulatory reporting, or data privacy.
- Bachelor's degree or equivalent professional experience in CS, data science, information systems, engineering, linguistics, mathematics, or related discipline.
- Relevant cloud, data-engineering, AI/ML, Agile, or graph-technology certifications.
What the Team is Saying
Capco Compensation & Benefits Highlights
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Wellbeing & Lifestyle Benefits — Wellbeing is emphasized as part of culture with flexible/hybrid work, mental-health resources, coaching, and a global Wellbeing@Capco group. Flexible arrangements and regional wellbeing programs are positioned to support work–life integration.
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Parental & Family Support — Enhanced maternity, adoption, and shared-parental leave are highlighted alongside paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Return-to-work supports and family-friendly flexibility are explicitly called out.
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Healthcare Strength — Core benefits include medical, dental, and vision coverage, with disability and life insurance noted in some markets. Health coverage is consistently presented as a solid part of the package.
Capco Insights
What We Do
Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.
Why Work With Us
We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture
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Capco Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
