Senior Manager, Ontology and Data Modeling Expert

1 week ago


Richmond, Virginia, United States Capital One Full time
About the Role

We are seeking a highly skilled Senior Manager, Ontology and Data Modeling to join our team at Capital One. This is a critical role that will play a key part in developing and implementing our enterprise ontology and data modeling strategy.

Key Responsibilities
  • Lead Ontology and Data Modeling Efforts: Develop and implement a comprehensive ontology and data modeling strategy that aligns with our business objectives.
  • Collaborate with Cross-Functional Teams: Work closely with technology, machine learning, and other teams to integrate semantic technology into our products and services.
  • Communicate and Advocate: Clearly communicate the value of using semantic technology and knowledge organization concepts to stakeholders.
  • Develop and Prioritize Roadmaps: Own and prioritize the long-term ontology and data modeling roadmap to deliver on business outcomes.
  • Measure and Track Progress: Define KPIs for ontology and data modeling, measuring and tracking progress to those measures.
  • Anticipate and Address Impacts: Understand how ontology and data models fit into the larger ecosystem, anticipating impacts from changes in other parts of the business.
  • Work with Technical Leadership: Collaborate with tech leadership and architecture to understand the tradeoffs of technical decisions and their impact on ontology and data modeling.
  • Attract and Retain Talent: Attract and retain top talent who can develop, implement, and govern ontologies and optimized data models.
  • Mentor and Develop Associates: Mentor and develop ontology and data modeling associates throughout their tenure at Capital One.
  • Contribute to Data Integration: Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies.
  • Stay Up-to-Date with Industry Developments: Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning.
  • Adhere to Industry Standards: Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL.
Requirements
  • Intellectually Curious: Comfortable with ambiguity, a hunger to learn, and a seeker of new challenges.
  • Communicator and Influencer: Able to communicate complex ideas clearly regardless of the audience.
  • Doer: Biased toward action, able to get around roadblocks, and stay focused on goals.
  • Passionate and Customer-Focused: Cares about growing others and bringing them together around what's possible.
  • Learner: Has an appetite to learn new things or new technologies.
  • Team Player: Enjoys working with diverse people and driving the team toward a common goal.
Qualifications
  • Bachelor's Degree: In information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
  • Experience: At least 6 years' experience in a metadata field of work (ontology, taxonomy, semantics, or computational linguistics).
  • W3C Standards: 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).
  • Ontology and Linked Data Tools: At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
  • SQL or SPARQL: At least 4 years' experience or training with SQL or SPARQL.


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