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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Governance - Ontology and Data Modeling - **Company:** Hispanic Technology Executive Council - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $160,200.0 - $182,800.0 - **Contract:** Permanent contract - **Skills:** Business Software, Computational Linguistics, Data Governance, Data Integration, Information Sciences, JSON, Linked Data, Machine Learning, Web Ontology Language, Resource Description Framework (RDF), SPARQL, SQL Databases, Extensible Markup Language (XML), Data Strategy, Information Technology - **Published:** September 5, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/74519663/1 ## About the Role * Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) * At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 4 years' experience or training in ontology and linked data tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 4 years' experience or training with SQL or SPARQL, * Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 5 years of experience in analysis role * At least 2 years of experience in financial services * At least 1 year of experience in consulting * At least 2 years of experience in data oriented role ## Description Locations: NY - New York, United States of America, New York, New YorkManager, Data Governance - Ontology and Data Modeling The role of the Manager Data Governance, Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. This role will be responsible for owning and maintaining agreed-upon data definitions cross-functionally, understanding how and why data is critical for their domain and ensuring that stakeholders adhere to specified data standards. They will also help ensure the quality of the data, managing compliance for the data standards, data patterns and policies set, responsible for defining and understanding data use cases within Commercial Bank required to support new product initiatives as well as for their evolving business environment. The Data Steward will build partnerships across Commercial that will help them understand business problems to solve using data. They will also support the modeling of attributes, entities, and products that support business application and use cases. The Data Steward will be a partner to help resolve operational and analytical obstacles leveraging their data knowledge. The Manager Data Governance, Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities * Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models * Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria * Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes * Responsible for assisting in defining standardization practices partnering with business and product teams to ensure global and semantic standards are followed. * Own inventory and cataloging of data products and entities ensuring they are maintained across all tools. * Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. * Contribute to data integration and mapping efforts to harmonize data advocating for the value of standardization across the business. * Acts as SME working cross functionally to govern data products and entities meaning/understanding to partners, seeking approval/consensus across Commercial Bank. * Execute policies and standards established by data governing bodies meeting regulations and audit needs to support Commercial operations. * Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team * Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems * Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL * Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates Role-Based Competencies * Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Identify business challenges and opportunities for improvement and solve them using analysis to make strategic or tactical recommendations. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management * People leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. Foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results * Product: Develop and implement new product and pricing strategies for various solutions, including Commercial Lending, Capital Markets, Treasury Management and Deposit Services, and Corporate Credit Cards; lead product level modeling/analytics * Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently * Clear results orientation: Display an intense focus on achieving both short and long term goals. Drive and execute an agenda in an uncertain and fluid environment * Partnership: Work closely with colleagues across Capital One including: Technology, Sales, Operations, Finance, Product and others to drive improvement in quality, volume, and profitability * Strong business judgment, leadership and integrity: Be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business * Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills ## Related Videos - [Data is Key: Scraping Metadata from Websites](https://www.wearedevelopers.com/videos/708-data-is-key-scraping-metadata-from-websites) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Offline first!](https://www.wearedevelopers.com/videos/645-offline-first) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)