Director, Ontology and Data Modeling

Key Skills

Data Modeling, Effective communication skills, Machine learning techniques, Python Programming, R Programming, SQL, Writing, XML-JSON

Job Description

The role of the Director of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Director of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Director 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 Director 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

• Immerse yourself in knowing your internal and/or external customer(s) by employing empathy and design thinking to define broad-scale semantic solutions that provide breakthrough leverage

• Model adaptability by encouraging continuous evolution to semantic strategy in light of industry trends, emerging solutions, new insights and changing customer and business needs

• Learn the financial drivers, externalities, and points of leverage within your domain to identify new solutions or enhancements that drive sustainable value for Capital One

• Promote a culture anchored in data, used to model reality of intent and usage, validate outcomes, drive insights, and manage the business both tactically and strategically

• Foster a strong agile discipline and inspire teams to continuously improve delivery evidenced through key agility metrics

• Partner with Technology leaders to influence end-state architecture and drive secure, resilient, performant and scalable technology solutions that solve material customer and business problems

• Govern the responsible and efficient application of technology and modeling resources by assessing opportunities for reusing existing solutions, clearly defining minimum viable products, and always building/modeling with extensibility in mind

• Establish a long-term Semantics portfolio strategy, informed by customer and business needs, and partner with leaders and stakeholders to regularly drive alignment, secure resources and overcome impediments

• Attract, grow, empower, and inspire top Ontology and Data Modeling talent as they develop and deliver on their local strategy in an iterative, outcome-focused and well-managed way

Role-Based Competencies

• Intellectually Curious. You’re comfortable navigating between the big ideas and executional realities to create an achievable strategic semantics vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.

• Communicator & Influencer. You’re comfortable influencing a group of executives as well as communicating your semantics vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas.

• Do-er. You’re biased toward action, and are willing to make commitments and trade-offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product

• Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You have a desire and ability to connect with our external or internal customers to fully understand their needs and build long lasting relationships.

• You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new

• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in Ontology and Data Modeling.

Basic Qualifications

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• At least 8 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)

• At least 8 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)

Preferred Qualifications

• Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• 6+ years of experience translating business strategy and analysis into enterprise semantic solutions

• Familiarity with SQL or SPARQL

• 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.

New York City (Hybrid On-Site): $228,500 - $260,800 for Director, Ontology and Data Modeling

San Francisco, California (Hybrid On-Site): $242,100 - $276,300 for Director, 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.

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.