https://ad.doubleclick.net/ddm/clk/603380685;411205025;u;gdpr=$%7BGDPR%7D;gdpr_consent=$%7BGDPR_CONSENT_755%7D?https://www.capitalonecareers.com/tech?source=rd_builtin_job_posting_tm&utm_source=builtin.com&utm_medium=job_posting&utm_campaign=Tech&utm_content=niche_site&utm_term=411205025&ss=paid
Manage Data Product Health & Operations by defining metrics, monitoring standards, partnering with stakeholders, and communicating strategies effectively.
Manager, Ontology - Data Product Health & Operations
The Manager, Ontology - Data Product Governance will be an Individual contributor on the Data Product Governance, Strategy, & Operations team, supporting Product Health & Operations initiatives for Data Products. This work will include:
Role-Based Competencies
Basic Qualifications
Preferred Qualifications
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.
Boston, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
New York, NY: $172,800 - $197,200 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.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 [email protected] . 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 [email protected]
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).
The Manager, Ontology - Data Product Governance will be an Individual contributor on the Data Product Governance, Strategy, & Operations team, supporting Product Health & Operations initiatives for Data Products. This work will include:
- Defining "Data Product Health" and related metrics (in conversation with other initiatives to define data health, such as ontology health and data asset health)
- Monitoring ongoing execution of controls and standards
- Defining Data Product reporting cadence and communication strategies (for example defining roles and responsibilities in reporting, aligning on consistent reporting across teams)
- Partnering with DA and Product partners to ensure Data Product stakeholders have access to the data they need for ongoing reporting and remediation/investigations
- Strategic development of Data Product operations, sharing best practices across LoBs
- Working effectively with colleagues to execute our Data Product Health and Operations strategy (such as communicating program strategy and delegating work effectively without direct supervision)
Role-Based Competencies
- Ability to define and measure success and health of a product and related operations (for example KRs, KPIs, metric targets), including providing insights and analysis that enable strategic decision making, as well as providing views into the data to enable others to do their own analyses.
- Ability to turn data insights into operational processes and/or improvements. (in example identifying the right areas to invest to improve a business process or implement a new one).
- Ability to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
- Ability 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 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 (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
- Understanding of the principles and challenges of data standardization, management, and governance, with ability toevangelize best practices effectively
- 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 deadlines
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.
Boston, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
New York, NY: $172,800 - $197,200 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.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 [email protected] . 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 [email protected]
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).
Top Skills
Amazon Web Services
Anzograph
Avro
Data.World
JSON
Neptune
Openapi/Yaml
Owl
Poolparty
Protege
Python
R
Rdf
Rdfs
Skos
Sparql
SQL
Stardog
Topquadrant
W3C Standards
XML
Similar Jobs at Capital One
Fintech • Machine Learning • Payments • Software • Financial Services
Lead research and development in Generative AI for conversational applications, managing a team of data scientists and engineers to innovate AI products.
Top Skills:
AWSHuggingface TransformersLangchainLanggraphPysparkPythonVectordbsVllm
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Engineer at Capital One, you will develop data solutions, collaborate with Agile teams, and explore various data technologies in a cloud environment.
Top Skills:
AWSEmrGCPGurobiHadoopHiveJavaKafkaMapreduceAzureMySQLNosql DatabasesOpen Source RdbmsPythonRedshiftScalaSnowflakeSparkUnix/Linux
Fintech • Machine Learning • Payments • Software • Financial Services
Analyze customer onboarding processes and develop strategies to enhance engagement and retention, leveraging data insights and partnerships across teams.
Top Skills:
DatabricksGoogle SuiteSQLTableau
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus