Manager, Ontology & Data Modeling

Capital One National Association; Richmond (VA); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan

Flexible Work Hours

Professional Development Opportunities

Paid Time Off

Remote Work Options

Wellness Programs

Employee Discounts

Tuition Reimbursement

Work-Life Balance Initiatives

Job summary

An established industry player is seeking a Manager of Ontology and Data Modeling to lead the development of enterprise ontologies. This pivotal role involves collaborating with various teams to enhance data strategy through semantic technology. The ideal candidate will leverage their expertise in ontology and data modeling to drive business outcomes and influence product development. Join a dynamic environment where your insights will shape the future of data management and semantic integration. If you are passionate about knowledge organization and eager to make a significant impact, this opportunity is for you.

Qualifications

• 4+ years of experience in ontology, taxonomy, or semantics.
• Proficient in W3C standards and linked data tools.

Responsibilities

• Develop and maintain enterprise ontologies to support data strategy.
• Collaborate across teams to drive semantic technology integration.

Skills

Ontology Development

Data Modeling

Machine Learning

Semantic Technology

Problem Solving

Communication

Project Management

Education

Bachelor’s degree in information science

Master’s degree or PhD in relevant fields

Tools

Protégé

TopQuadrant

PoolParty

Stardog

AnzoGraph

Neptune

Data.World

SQL

SPARQL

Job description

Manager, Ontology & 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 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

1. Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models.
2. Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria.
3. 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.
4. 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.
5. 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.
6. Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing.
7. 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.
8. 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.
9. Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholders.
10. Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies.
11. Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
12. Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning.
13. Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL.
14. Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One.

Role-Based Competencies

1. 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.
2. Able to communicate and advocate the value of using industry standards, applications, and open source data sets.
3. Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
4. 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.
5. Able to test/troubleshoot new or updated models and systems.
6. Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
7. Able to maintain and update data and models according to industry best practice.
8. Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models.
9. Able to assist in the implementation and support of data standardization and ontology governance strategies and processes.
10. Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems.
11. Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends.
12. Has very strong research skills.
13. Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience.
14. 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.
15. Continually focused on improving the responsiveness and quality of the solutions delivered.
16. Exhibits high energy, passion, self-motivation, and creativity for problem solving.

Basic Qualifications

1. Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
2. At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics).
3. 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).
4. At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
5. At least 4 years’ experience or training with SQL or SPARQL.

Preferred Qualifications

1. Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
2. Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data.
3. Familiarity with graph databases and technologies.
4. Familiarity with Python or R.
5. Familiarity with JSON, OpenAPI/YAML, AVRO.
6. Familiarity with Agile principles, processes, and methodologies.
7. Familiarity with Amazon Web Services.
8. Detail-oriented and an ability to problem-solve independently.
9. Strong reading and writing skills.
10. Strong project management experience.
11. Excellent communication skills and the ability to present ideas clearly and with confidence.
12. Ability to work individually and with a team to meet deadlines.