At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.
Job Description
As a valued colleague on our team, you will contribute to developing data infrastructure and pipelines to capture, integrate, organize, and centralize data while testing and ensuring the data is readily accessible and in a usable state, including quality assurance.
THE IMPACT YOU WILL MAKE
The Senior Ontology & Data Modeling Associate plays a critical role in developing, implementing, and maintaining enterprise ontologies that support Fannie Mae's Data Strategy. The ideal candidate will contribute to the growth of an evolving semantic program by clearly articulating and championing the value of semantic technologies and knowledge organization concepts across the enterprise.
This individual will collaborate closely with both business and technology teams to drive the integration of semantic technologies into Fannie Mae's data products.
The Senior Ontology & Data Modeling Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Develop, implement, and govern ontologies and optimize d data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development.
- Contribute to data integration and mapping efforts to harmonize data with Fannie Mae's upper and domain ontologies and maintain information accuracy and currency.
- Communicate and advocate the value of Fannie Mae's efforts in to leverage ontologies, semantics, and standardization to unify data across business domains .
- Partner with Technology, Machine Learning, and other Fannie Mae teams to identify and prioritize ontology needs in support of the development and integration of semantics in Fannie Mae products and services.
- Analyze and implement knowledge organization strategies using ontology languages and tools capable of machine learning, ontology management, and semantic enrichment.
- Enable a structured, semantic framework for data that enables Generative AI models to understand context, generate more relevant outputs, and make better inferences.
- 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 the use of ontologies, data modeling, semantics, and data s tandardization in general.
- Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges .
- Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you .
- Do-er. You're biased toward action; you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work .
- Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs .
- L earner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help .
- Team Player. You enjoy working with diverse people and driving the team toward a common goal
THE EXPERIENCE YOU BRING TO THE TEAM
Required Qualifications
- Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics
- 3 years+ experience in a metadata field of work or a master's degree in information science , computer science, engineering, library science, ontology, semantics, or computational linguistics
- 3 years+ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
- 3 years+ experience or training in ontology and linked data tools including but not limited to: ( MagicDraw, Protégé, Top Quadrant, Pool Party, Stardog, AnzoGraph, Neptune, or Data. World)
- 3 years+ experience or training with SQL or SPAR QL
Preferred Qualifications
- Master's degree 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 Schema, JSON-LD, 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
- Excellent communication skills and the ability to present ideas clearly and with confidence.
Qualifications
Education:
Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are encouraged to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
121000
to
158000
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