MANAGER, ONTOLOGY & DATA MODELING
Company: Capital One
Location: Richmond
Posted on: October 8, 2024
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 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
- 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
- Deliver value by creating reusable, extensible and resilient
capabilities and proactively identify opportunities when key
metrics are not performing
- Develop 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 associates
- Manage teams that develop, implement and govern ontologies and
optimized data models in consultation with stakeholder
- 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.
- 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
- Develop standards, guidelines, and direction for ontology, data
modeling, semantics and Data Standardization in general at Capital
OneRole-Based Competencies
- Able 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
systems
- Able 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
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 (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph,
Neptune, or Data.World)
- At least 4 years' experience or training with SQL or
SPARQLPreferred Qualifications
- Master's degree or PhD in information science, computer
science, engineering, library science, ontology, semantics or
computational linguistics
- Understanding of the development of ontologies and the use of
controlled vocabularies and thesauri in enhancing the discovery of
management of enterprise data
- 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
- Detail-oriented and an ability to problem-solve
independently
- Strong reading and writing skills
- Strong project management experience
- Excellent 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 . 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- or via
email at . 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 Capital
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).
Keywords: Capital One, Norfolk , MANAGER, ONTOLOGY & DATA MODELING, Executive , Richmond, Virginia
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