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Data Modeling Jobs in Boston, MA (NOW HIRING)

Manager, Ontology and Data Modeling

Boston, MA

$59.50 - $77.25/hr

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 ...

Data Modeler

Brighton, MA · On-site

$59.75 - $77.50/hr

Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. * Identify the architecture, infrastructure, and interfaces to data ...

Data Modeler

Quincy, MA · On-site

$57.50 - $74.75/hr

Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. * Through understanding of data warehouse concepts * Optimize and update logical and ...

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Maintains Data Model repository. * Drives conversations with development teams and DBA teams to optimize the schema structure and ingestion processes influencing the write and read performance.

Data Architect

Weston, MA · On-site

$68.75 - $88.50/hr

Maintains Data Model repository. * Drives conversations with development teams and DBA teams to optimize the schema structure and ingestion processes influencing the write and read performance.

Data Architect

Boston, MA · On-site

$160K - $175K/yr

Drive domain-driven data modeling , including canonical data models, dimensional models, and entity relationships aligned to business domains. * Design and implement scalable data pipelines (batch ...

Data Architect (Data Platform)

Boston, MA · On-site

$69.25 - $89/hr

Data Modeling & Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

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Data Modeling information

See Boston, MA salary details

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How much do data modeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data modeling in Boston, MA is $63.79, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $74.18 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What are the most commonly searched types of Data Modeling jobs in Boston, MA? The most popular types of Data Modeling jobs in Boston, MA are:
What job categories do people searching Data Modeling jobs in Boston, MA look for? The top searched job categories for Data Modeling jobs in Boston, MA are:
Infographic showing various Data Modeling job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,674 per year, or $63.8 per hour.
Manager, Ontology and Data Modeling

Manager, Ontology and Data Modeling

Capital One

Boston, MA

$59.50 - $77.25/hr

Full-time

Posted 2 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

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 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 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 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

  • 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 (Protege, 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 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.

Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data Modeling


McLean, VA: $164,800 - $188,100 for Manager, Ontology and Data Modeling


New York, NY: $179,700 - $205,100 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 theCapital 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).


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