Manager, Data Governance – Ontology and Data Modeling

Annapolis, Maryland
Capital One
Locations: NY – New York, United States of America, New York, New York

Manager, Data Governance – Ontology and Data Modeling

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

This role will be responsible for owning and maintaining agreed-upon data definitions cross-functionally, understanding how and why data is critical for their domain and ensuring that stakeholders adhere to specified data standards. They will also help ensure the quality of the data, managing compliance for the data standards, data patterns and policies set, responsible for defining and understanding data use cases within Commercial Bank required to support new product initiatives as well as for their evolving business environment.

The Data Steward will build partnerships across Commercial that will help them understand business problems to solve using data. They will also support the modeling of attributes, entities, and products that support business application and use cases. The Data Steward will be a partner to help resolve operational and analytical obstacles leveraging their data knowledge.

The Manager 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

• Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
• Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
• Responsible for assisting in defining standardization practices partnering with business and product teams to ensure global and semantic standards are followed.
• Own inventory and cataloging of data products and entities ensuring they are maintained across all tools.
• Communicate and advocate the value of Capital One’s efforts in ontologies, semantics, and standardization across the business.
• Contribute to data integration and mapping efforts to harmonize data advocating for the value of standardization across the business.
• Acts as SME working cross functionally to govern data products and entities meaning/understanding to partners, seeking approval/consensus across Commercial Bank.
• Execute policies and standards established by data governing bodies meeting regulations and audit needs to support Commercial operations.
• Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
• Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates

Role-Based Competencies

• Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Identify business challenges and opportunities for improvement and solve them using analysis to make strategic or tactical recommendations. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management
• People leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. Foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results
• Product: Develop and implement new product and pricing strategies for various solutions, including Commercial Lending, Capital Markets, Treasury Management and Deposit Services, and Corporate Credit Cards; lead product level modeling/analytics
• Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently
• Clear results orientation: Display an intense focus on achieving both short and long term goals. Drive and execute an agenda in an uncertain and fluid environment
• Partnership: Work closely with colleagues across Capital One including: Technology, Sales, Operations, Finance, Product and others to drive improvement in quality, volume, and profitability
• Strong business judgment, leadership and integrity: Be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business
• Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

Basic Qualifications

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 4 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
• At least 5 years of experience in analysis role
• At least 2 years of experience in financial services
• At least 1 year of experience in consulting
• At least 2 years of experience in data oriented role

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $160,200 – $182,800 for Manager, Ontology and Data Modeling

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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