5,024 Data Modeling jobs in the United States

Data Modeling needs 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills.
Data Modeling requires: o Financial Domain knowledge is plus. o Strong understanding of cloud Datawarehouse like Snowflake and Data modelling skill using Data Vault 2.0. o In depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive, S3, Trino, HUE, etc. o Complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments. o Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.) o Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 o Experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions. o Implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses o In depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.

Job Description

• 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills.
• Financial Domain knowledge is plus.
• Should have strong understanding of cloud Datawarehouse like Snowflake and Data modelling skill using Data Vault 2.0.
• Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive , S3 , Trino , HUE, etc.
• Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments.
• Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.)
• Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2
• Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions.
• Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses
• Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.

Piper Companies is seeking a Data Modeling Technician to join an established Healthcare organization located in Maryland . This is a remote contract to possible hire opportunity. The Data Modeling Technician oversees the health, performance, and operations of the Master Patient Index (MPI) system, leading a technical team to ensure data integrity, support system enhancements, and onboard new participants into the health information exchange.

Responsibilities of the Data Modeling Technician :

• Lead and manage the MPI team's workload, project intake, and progress reporting.
• Maintain and support the IBM MDM infrastructure, ensuring system performance and data integrity.
• Collaborate with internal teams and vendors to implement system enhancements and resolve issues.
• Develop and maintain data quality dashboards and analytics to monitor MPI performance.
• Ensure compliance with privacy and security standards across all MPI operations.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 2-5 years of experience with SQL, Databricks, Data Factory, and API troubleshooting.
• Strong understanding of large-scale databases and complex data structures.
• Experience with IBM InfoSphere Master Data Management (preferred).
• Familiarity with healthcare IT systems and integration standards (preferred).
• Excellent communication skills for both technical and non-technical audiences.
• Proven ability to manage multiple tasks and projects with strong time management.
• Commitment to high-quality customer service and operational excellence.

• Target Salary Upon Conversion: $85,000-$110,000 depending on experience
• Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law

• Job Title: PowerBI Data Modeling SME
• Location: NYC -Hybrid
• Tax Term (W2, C2C): W2
• Job Type (Permanent/Contract) : CTH
• Duration: Longterm
• Pay Range:DOE

• Description:
  Maintain PowerBI current dashboards and enhancements, support data model migrations to abstract to a transformation layer, optimize current semantic model and connections to ensure data availability. processes, develop task schedulers for different data sources, business intelligence and reporting feature development.

Menu Data Modeling & Tools Analyst Location: Remote but must reside in the United States About Tillster Tillster, headquartered in the USA, is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform; one scalable, enterprise class solution – to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e-commerce in restaurants and make the till grow for Tillster and our customers. What You'll Do Menu Data Modeling & Tools Analyst • Monitor and assess the internal tools that are used to be build digital menus by using data models • Review UI enhancement requests by performing analysis and define requirements for the menu content installation. • Consult with developers and QA Perform product approval testing and report issues • Do Menu architecture and standards review by reviewing table of features with tenant team, reviewing assumptions and limitations with team and review checklist with tenant team • Provide support during implementation • Implement application monitoring. • Respond to and resolve application alerts. • Create standard menu matrix templates andidentify and document gaps, enhance template guides andsuggest product improvements. • Build the data model to assess the v3 server, utility, and UI enhancements. • Proactively work with key stakeholders and vendors to analyze the business needs and to recommend new tools and systems to build successful data models and to enhance the building of our digital menus. This includes scheduling meetings, providing updates, and driving the project to completion. • Support User Acceptance Testing (UAT) and provide product feedback. • Design and update Tillster menu data Required Skills & Experience • Understanding of graph database technology - a MUST • A minimum of 3+ years of experience as a model data architect • Do menu architecture and standards review • Experience with NSQL Database • Comfortable building data models. . • Experience with UI enhancements • Experience Triaging incoming defects for UI, utilities, and servers. • Experience performing product approval testing and reporting issues and to create or update supporting documentation • Fluent in English - working with global teams • Highly customer oriented. • Outstanding communication skills. • Strong sense of urgency. The Interview Process Recruiter interview with a Talent Acquisition Specialist. Interview with Menu Engineering team Interview with our CTO Making a Difference in the Tillster Way Our business and product mission is to empower restaurants and consumers globally, by empowering, supporting, and nurturing the people who are part of the global Tillster team. We want to ensure all employees feel respected, confident, and engaged. Creating an inclusive working environment is of the utmost importance to us. To make this a reality, Tillster is dedicated to embracing diversity in all forms and is proudly an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, gender identity, sexual orientation, age, family/parental status, marital status, veteran status, disability, or any other protected status. Pay and Benefits (USA) Expected base salary ranges $105,000 - $135,000. Total starting compensation will be determined based on all lawful criteria, Company policy and best practices. Equity: All employees within the U.S. are eligible to participate in the Stock Option Plan. Health Benefits: All full-time, regular employees and their dependents are eligible for medical, dental, vision and FSA benefits. Additional health benefits include Healthcare and Dependent Care reimbursement programs, Employee Assistance Program (“EAP”) and Optum Care 24-hour confidential medical counseling services. Holidays: The company observes ten (10) paid holidays per calendar year. Paid Time Off (PTO): Full-time, regular employees earn 15 days of PTO in the first 12-months of continuous service, and 22 days in subsequent years. Eligible part-time employees earn pro-rated PTO. Retirement: Effective with your employment start date, you will be eligible to participate in the 401(k) Plan. Education, Learning & Development: We offer college tuition and education assistance programs; Udemy Learning courses; and ongoing learning and development opportunities. Local Candidates Strongly Preferred No Visa Sponsorship Principals only – no Agencies or calls please. About Tillster Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform; one scalable, enterprise class solution – to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e-commerce in restaurants and make the till grow for Tillster and our customers. Thriving at Tillster As a member of Tillster, you will embody our core values: Put Customers First: Prioritize the needs and satisfaction of our customers in all decisions and actions appropriate to Tillster’s stage of development, resources, and stated goals. Collaborate: Work together effectively, leveraging diverse perspectives to achieve common goals. Innovate: Embrace creativity and pursue new ideas to drive progress and improvement. Operate from Data: Use strong critical thinking skills to make informed decisions based on accurate and relevant data. Drive Results: Focus on achieving tangible outcomes and delivering high performance. Own It: Take responsibility for your actions and the success of your work. Be Passionate and Have Fun: Bring enthusiasm to your work and enjoy the journey. Making a Difference in the Tillster Way Our business and product mission is to empower restaurants and consumers globally; by empowering, supporting, and nurturing the people who are part of the global Tillster team. We are committed to fostering an inclusive and diverse work environment where every team member is respected, empowered, and encouraged to grow. To make this a reality, Tillster is dedicated to embracing diversity in all forms and is proudly an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, gender identity, sexual orientation, age, family/parental status, marital status, veteran status, disability, or any other protected status. Follow us on: Tillster.com: Tillster Careers: LinkedIn: #J-18808-Ljbffr

Manager, Ontology and Data Modeling

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

The Manager of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of our ERP replacement initiatives. With this replacement, we are looking for someone to champion the creation and adoption of standardized data. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Product, 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 Ones upper and domain ontologies

• Communicate and advocate the value of Capital Ones 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 One

Role-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

• Bachelors 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

• Masters 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 deadlines

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.

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 candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 Ones 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).

Manager, Ontology and Data Modeling

The 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 Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of our ERP replacement initiatives. With this replacement, we are looking for someone to champion the creation and adoption of standardized data. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Product, 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 One

Role-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

• Bachelors 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 SPARQL

Preferred Qualifications

• Masters 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 deadlines

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.

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 candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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).

The 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 Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of our ERP replacement initiatives. With this replacement, we are looking for someone to champion the creation and adoption of standardized data. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Product, 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 One

Role-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

• Bachelors 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 SPARQL

Preferred Qualifications

• Masters 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 deadlines

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.

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 candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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).