Capital One-posted 8 months ago
$193,000 - $240,300/Yr
Full-time • Senior
New York, NY
Credit Intermediation and Related Activities

The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Senior Manager of 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.

  • Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision.
  • Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that your team will be successful.
  • Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates.
  • Understand how ontology and data models fit into the larger ecosystem, anticipating impacts from changes in other parts of the business.
  • Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers.
  • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams.
  • Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders.
  • Mentor and develop ontology and data modeling associates throughout their tenure at Capital One.
  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies.
  • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning.
  • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL.
  • Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One.
  • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
  • At least 6 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics).
  • At least 6 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 (Protégé, 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.
  • Experience translating business strategy and analysis into enterprise semantic solutions.
  • Familiarity with graph databases and technologies.
  • Familiarity with Python or R.
  • Familiarity with JSON, OpenAPI/YAML, AVRO.
  • Familiarity with Agile principles, processes, and methodologies.
  • Familiarity with Amazon Web Services.
  • Detail-oriented and an ability to problem-solve independently.
  • Strong reading and writing skills.
  • Strong project management experience.
  • Excellent communication skills and the ability to present ideas clearly and with confidence.
  • Ability to work individually and with a team to meet deadlines.
  • Comprehensive health benefits.
  • Financial benefits including performance-based incentive compensation.
  • Inclusive set of benefits that support total well-being.
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