Senior Associate, Data Governance - Ontology and Data Modeling - Commercial Bank

Senior Associate, Data Governance - Ontology and Data Modeling - Commercial Bank

The role of the Senior Associate, Data Governance - Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. 

As part of Commercial Banking, this role 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 Associate 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 Associate, 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

• Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

• Research, rationalize, socialize, and describe/document the meaning, planned uses, and problems to solve for the data that you model.

• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.

• Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

• Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

• 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, and SKOS

• Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

• Test/troubleshoot new or updated models and systems

• Manage and oversee other projects as assigned by Product Owners and Supervisors

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 2 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• At least 2 years’ ex