MANAGER, ONTOLOGY & DATA MODELING
Company: Capital One
Location: Richmond
Posted on: October 24, 2024
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaManager, Ontology & Data ModelingThe role of the Manager of
Ontology and Data Modeling is to develop, implement, and maintain
enterprise ontologies in support of Capital One's Data Strategy.
-The Manager of Ontology and Data Modeling, as part of the Card
Data Products Center of Excellence, will be responsible for working
collaboratively across Capital One Lines of Business and Functions
to develop domain ontologies in support of enterprise initiatives
and Card-owned Data Products. The 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 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 ResponsibilitiesDefine clear and
actionable problem statements to help teams deliver results while
displaying a comprehensive understanding of ontologies and
optimized data modelsLeverage customer insights to influence
priorities and roadmap development while advocating for and driving
alignment between stakeholders in the development of acceptance
criteriaOwn 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
outcomesUtilize 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 teamUnderstand 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 problemsDeliver value by
creating reusable, extensible and resilient capabilities and
proactively identify opportunities when key metrics are not
performingDevelop and communicate a 6-month vision to senior
stakeholders and partner teams with accurate details and
transparency on risks and impediments, and proactively build
relationships with those outside of your immediate team resulting
in horizontal influence -Contribute to team culture and recruiting
by leading activities to attract and retain top talent and
mentoring and developing junior ontology and data modeling
associatesManage teams that develop, implement and govern
ontologies and optimized data models in consultation with
stakeholderContribute to data integration and mapping efforts to
harmonize data with Capital One's upper and domain
ontologiesCommunicate and advocate the value of Capital One's
efforts in ontologies, semantics, and standardization across the
business.Maintain awareness of competitor and industry developments
related to ontology use, knowledge organization, data modeling, and
machine learningUnderstand and adhere to W3C standards related to
ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACLDevelop
standards, guidelines, and direction for ontology, data modeling,
semantics and Data Standardization in general at Capital
OneRole-Based CompetenciesAble to develop and implement ontologies
and data models in consultation with stakeholders in teams
dedicated to data management, search, product management, machine
learning, and other enterprise initiatives.Able to communicate and
advocate the value of using industry standards, applications, and
open source data sets.Able to analyze and implement knowledge
organization strategies using tools capable of machine learning and
semantic enrichment.Able to maintain awareness of competitor and
industry developments related to ontology use, linked data,
semantic technology, graph databases, knowledge organization, data
modeling, and metadata.Able to test/troubleshoot new or updated
models and systemsAble to create processes and tools to establish,
maintain, and update ontology, taxonomy, and other data models.Able
to maintain and update data and models according to industry best
practice. -Able to support knowledge organization workshops in
order to further enhance enterprise ontology, taxonomy, or data
models.Able to assist in the implementation and support of data
standardization and ontology governance strategies and
processes.Able to develop a strong understanding of the Capital One
business, processes, customers, users, and business needs to better
solve Data Management problems.Able to see and communicate the big
picture in an inspiring way. Determines opportunity and risks
through comprehensive analysis of current and future trends. -Has
very strong research skills.Able to communicate and present ideas
clearly and with confidence. Delivers presentations and status
updates suited to the characteristics and needs of the
audience.Able to foster strong relationships with business
partners, supporting semantic projects across departments. Develops
a supportive and helpful culture for assistance in projects and
daily support interactions.Continually focused on improving the
responsiveness and quality of the solutions delivered.Exhibits high
energy, passion, self-motivation, and creativity for problem
solving.Basic Qualifications -Bachelor's degree in information
science, computer science, engineering, library science, ontology,
semantics or computational linguisticsAt 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
(Prot--g--, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or
Data.World)At least 4 years' experience or training with SQL or
SPARQLPreferred QualificationsMaster's degree or PhD in information
science, computer science, engineering, library science, ontology,
semantics or computational linguisticsUnderstanding of the
development of ontologies and the use of controlled vocabularies
and thesauri in enhancing the discovery of management of enterprise
dataFamiliarity with graph databases and technologiesFamiliarity
with Python or RFamiliarity with JSON, OpenAPI/YAML,
AVROFamiliarity with Agile principles, processes, and
methodologiesFamiliarity with Amazon Web ServicesDetail-oriented
and an ability to problem-solve independentlyStrong reading and
writing skillsStrong project management experienceExcellent
communication skills and the ability to present ideas clearly and
with confidence.Ability to work individually and with a team to
meet deadlinesAt 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: -$163,300 - $186,400 for Ontology.
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.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): $163,300 -
$186,400 for Manager, Ontology and Data ModelingCandidates 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.This role is expected to
accept applications for a minimum of 5 business days.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
(including pregnancy, childbirth or related medical conditions),
race, color, age, national origin, religion, disability, genetic
information, marital status, sexual orientation, gender identity,
gender reassignment, citizenship, immigration status, protected
veteran status, or any other basis prohibited under applicable
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 4901-4920; 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.If you have visited our website in
search of information on employment opportunities or to apply for a
position, and you require an accommodation, please contact Capital
One Recruiting at 1-800-304-9102 or via email at
RecruitingAccommodation@capitalone.com. All information you provide
will be kept confidential and will be used only to the extent
required to provide needed reasonable accommodations.For technical
support or questions about Capital One's recruiting process, please
send an email to Careers@capitalone.comCapital One does not
provide, endorse nor guarantee and is not liable for third-party
products, services, educational tools or other information
available through this site.Capital One Financial is made up of
several different entities. Please note that any position posted in
Canada is for Capital One Canada, any position posted in the United
Kingdom is for Capital One Europe and any position posted in the
Philippines is for Capital One Philippines Service Corp.
(COPSSC).SummaryLocation: McLean, VA; Richmond, VA; Chicago, IL;
New York, NYType: Full time
Keywords: Capital One, Chantilly , MANAGER, ONTOLOGY & DATA MODELING, Executive , Richmond, Virginia
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