Senior Manager, Ontology and Data Modeling
3 weeks ago
Job Summary
The Senior Manager of Ontology and Data Modeling will be responsible for developing, implementing, and maintaining enterprise ontologies in support of Capital One's Data Strategy. This role will work collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives and Card-owned Data Products.
Key Responsibilities
- Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts, turning insights into actionable strategies that define priorities for the team and rally stakeholders to the vision.
- Own and prioritize the long-term ontology and data modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure all the right resources are aligned.
- 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.
Requirements
- 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.
Preferred Qualifications
- 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.
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