Senior Manager, Ontology and Data Modeling

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Center 2 (19050), United States of America, McLean, Virginia Senior Manager, Ontology and Data Modeling 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 Retail Bank Product, will be responsible for working collaboratively across Retail Bank to develop domain ontologies in support of LOB 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. Primary Responsibilities 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 and 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 Coach 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 Role-Based Competencies Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges. Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you. Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work. Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs. Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help. Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships. Basic Qualifications  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 W