Semantic Web Jobs - Revision history

Marco: /* Vice President- Ontologist JPMorgan Chase NYC or NJ */

2026-06-20T07:41:20Z

Vice President- Ontologist JPMorgan Chase NYC or NJ

← Older revision		Revision as of 07:41, 20 June 2026
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	===Vice President- Ontologist JPMorgan Chase ~~NYC or NJ~~===		===Vice President- Ontologist JPMorgan Chase===

	https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210760263		https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210760263

			Location: NYC or NJ

	6/20/2026		6/20/2026
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	Contributions to the Ontology community, such as papers, conference presentations, industry standard contributions, or open source contributions (e.g., Github repos)		Contributions to the Ontology community, such as papers, conference presentations, industry standard contributions, or open source contributions (e.g., Github repos)


	===Senior Lead Software Engineer-Ontology and RDF - JPMorgan Chase===		===Senior Lead Software Engineer-Ontology and RDF - JPMorgan Chase===

Marco at 07:40, 20 June 2026

2026-06-20T07:40:52Z

← Older revision		Revision as of 07:40, 20 June 2026
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			===Vice President- Ontologist JPMorgan Chase NYC or NJ===

			https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210760263

			6/20/2026

			The Firmwide Chief Data Office is responsible for maximizing the value and impact of data globally, in a highly governed way. It consists of several teams focused on accelerating JPMorgan Chase’s data, analytics, and AI journey, including data strategy, data impact optimization, privacy, data governance, transformation, and talent. We are looking for a data executive to help shape the strategy for how we make data available to power everything from new product development to Artificial Intelligence models. This leader will join the team responsible for setting the firmwide data publishing strategy and driving the adoption of the strategy across the firm.

			As a Vice President-Ontologist within the JP Morgan Chase team, you will be instrumental in shaping our knowledge representation. Your role will involve utilizing ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts, to assessing standard ontologies and developing our organization-wide ontology. Your work will traverse multiple domains, influencing departments like Data & Analytics, Product, and Tech.

			Job responsibilities:

			Development and adoption of ontologies to represent complex domains

			Evaluate industry standard ontologies for adoption across JPMC

			Work closely with stakeholders, subject matter experts, product owners, and engineers to understand their use cases, requirements, and dependencies, critically assessing proposed solutions

			Provide expert input into the JP Morgan Chase’s firmwide data strategy

			Communicate complex ideas effectively to collaborators using precise terminology and relatable examples, and ask clarifying questions to define core meanings.

			Mentor fellow ontologists to ensure alignment with accepted practices, standards, objectives, key results, and strategic initiatives.

			Keep abreast of emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies.

			Balance timeliness with quality under tight deadlines, managing multiple priorities and partners.

			Ensure end-to-end relevance to stakeholder needs, from gathering competency questions to achieving successful integrations.

			Required qualifications, capabilities, and skills:

			3+ years of experience developing and managing ontologies for real-world applications

			Expertise in Data and Financial service standards such as ISO 20022, OWL, RDF, SKOS, and SHACL.

			Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid Composer, PoolParty, etc.).

			Structured thinker and effective communicator with excellent written communication skills. Ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.

			Preferred qualifications, capabilities, and skills:

			Master's or Ph.D. in a field focused on ontology engineering, knowledge representation, or semantic technologies, such as Information Science, Library Science, Philosophy, Linguistics, or Computer Science.

			Experience with Financial sector data standards and ontologies

			Experience with program management and collaborative development best practices

			Understanding of large-scale, distributed, end-to-end systems.

			Knowledge of Data Governance and Data Management

			Contributions to the Ontology community, such as papers, conference presentations, industry standard contributions, or open source contributions (e.g., Github repos)

Marco: /* Senior Lead Software Engineer-Ontology and RDF */

2024-02-08T21:58:08Z

Senior Lead Software Engineer-Ontology and RDF

← Older revision		Revision as of 21:58, 8 February 2024
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	===Senior Lead Software Engineer-Ontology and RDF===		===Senior Lead Software Engineer-Ontology and RDF - JPMorgan Chase===

	Location: GLASGOW, LANARKSHIRE, United Kingdom		Location: GLASGOW, LANARKSHIRE, United Kingdom

Marco: /* Lead Software Engineer- Ontology and RDF */

2024-02-08T21:57:58Z

Lead Software Engineer- Ontology and RDF

← Older revision		Revision as of 21:57, 8 February 2024
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	https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472446/?keyword=Ontology		https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472446/?keyword=Ontology

	===Lead Software Engineer- Ontology and RDF===		===Lead Software Engineer- Ontology and RDF - JPMorgan Chase===

	Location: GLASGOW, LANARKSHIRE, United Kingdom		Location: GLASGOW, LANARKSHIRE, United Kingdom

			As a Lead Software Engineer at JPMorgan Chase within the Identity and Access Management , Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

	https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472450/?keyword=Ontology		https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472450/?keyword=Ontology

Marco at 21:57, 8 February 2024

2024-02-08T21:57:28Z

← Older revision		Revision as of 21:57, 8 February 2024
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			===Senior Lead Software Engineer-Ontology and RDF===

			Location: GLASGOW, LANARKSHIRE, United Kingdom

			As a Lead Software Engineer at JPMorgan Chase within the Identity and Access Management, Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

			https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472446/?keyword=Ontology

			===Lead Software Engineer- Ontology and RDF===

			Location: GLASGOW, LANARKSHIRE, United Kingdom

			https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210472450/?keyword=Ontology

	===Ontologist IMDb Bristol===		===Ontologist IMDb Bristol===

Marco: /* Ontologist IMDb Bristol */

2023-03-01T09:48:10Z

Ontologist IMDb Bristol

← Older revision		Revision as of 09:48, 1 March 2023
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	===Ontologist IMDb Bristol===		===Ontologist IMDb Bristol===

	URL: https://www.amazon.jobs/en-gb/jobs/2026698/ontologist-imdb-content		URL: Allocated <!-- https://www.amazon.jobs/en-gb/jobs/2026698/ontologist-imdb-content -->

	Location: Bristol, UK		Location: Bristol, UK

Marco: /* Solabelftware Engineer to work on the Data Team at Financial Services Firm NYC/NJ */

2022-06-10T15:43:55Z

Solabelftware Engineer to work on the Data Team at Financial Services Firm NYC/NJ

← Older revision		Revision as of 15:43, 10 June 2022
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	Software Engineer to work on the data team for a premier financial services firm in NYC/NJ on Enterprise Data/Historical Data/Metadata / Semantic Wikis/SPARQL/OWL – Ontology Semantic Web Language/RDFS.		Software Engineer to work on the data team for a premier financial services firm in NYC/NJ on Enterprise Data/Historical Data/Metadata / Semantic Wikis/SPARQL/OWL – Ontology Semantic Web Language/RDFS.

	~~contact~~: ~~info@kona.llc~~		status: filled

	==Analytical Linguist, Knowledge Engine Google - San Francisco, CA, USA ==		==Analytical Linguist, Knowledge Engine Google - San Francisco, CA, USA ==

Marco: /* Ontologist IMDb Bristol */

2022-04-20T09:53:42Z

Ontologist IMDb Bristol

← Older revision		Revision as of 09:53, 20 April 2022
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	===Ontologist IMDb Bristol===		===Ontologist IMDb Bristol===

	https://www.amazon.jobs/en-gb/jobs/2026698/ontologist-imdb-content		URL: https://www.amazon.jobs/en-gb/jobs/2026698/ontologist-imdb-content

			Location: Bristol, UK


	DESCRIPTION		DESCRIPTION

Marco: /* Ontologist IMDb Bristol */

2022-04-20T09:48:01Z

Ontologist IMDb Bristol

Marco at 09:46, 20 April 2022

2022-04-20T09:46:50Z

← Older revision		Revision as of 09:46, 20 April 2022
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	__TOC__		__TOC__


			===Ontologist IMDb Bristol===

			DESCRIPTION
			Job summary
			With more than 400 million searchable data items — including 10 million movie, TV and entertainment titles, 11 million cast and crew members and 11 million images — IMDb is the world’s most popular and authoritative source for information on movies, TV shows and celebrities, and has a combined web and mobile audience of more than 200 million monthly visitors. The IMDb database is continually growing, thanks to a vast contributor community of entertainment professionals and companies, IMDb staff, individual contributors and other trusted sources. IMDb content is integrated into strategically important parts of Amazon and AWS businesses, including Amazon Fire TV, Alexa, and X-Ray on Prime Video. IMDb licenses information from its vast and authoritative database to third-party businesses, including film studios, television networks, streaming services and cable companies, as well as airlines, electronics manufacturers, non-profit organizations and software developers. Learn more at developer.imdb.com. Other IMDb products and services include: the IMDb website for desktop and mobile devices; apps for iOS and Android; a free streaming channel, IMDb TV; and IMDb original video series and podcasts. For entertainment industry professionals, IMDb provides IMDbPro and Box Office Mojo. IMDb is an Amazon company. For more information, visit imdb.com/press and follow @IMDb.

			IMDb is a group of entertainment enthusiasts – and we are passionate about ensuring all our customers around the globe have access to all the content they need, when they need it. IMDb sits at the intersection of the entertainment, media, and technology markets inside the world’s most innovative and consumer-centric company – Amazon.com. IMDb employees enjoy the benefits of working for Amazon with the autonomy of working on a smaller, nimble team.

			As an Ontologist, you work as part of a global team to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product delivery for IMDb web and mobile experiences. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable discovery and engagement with IMDb content. In this role you will directly impact the customer experience as well as the company's product knowledge foundation across all customer cohorts.


			Specific responsibilities include the following:


			Develop logical, semantically rich, and extensible data models for IMDb's expansive entertainment catalog.

			Ensure our ontologies provide comprehensive sub-domain coverage that are available for machine ingestion and inference

			Research worldwide understanding of entertainment content to develop scalable data models that solve customer problems and enhance entity discovery

			Contribute to the development of new tools, features and processes for the Ontology team

			Support the content expansion team focused on driving the overall IMDb Content product and business strategy and execution.

			BASIC QUALIFICATIONS
			Experience working in ontology and/or taxonomy roles
			Proven skills in data retrieval and data research techniques
			Ability to quickly understand complex processes and communicate them in simple language
			Ability to communicate knowledge-based requirements and needs to engineering and retail teams
			Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
			Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity
			Proven track record of strong communication and interpersonal skills
			Proficient English language skills

			PREFERRED QUALIFICATIONS
			Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields
			Experience building ontologies in the entertainment and semantic search spaces
			Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)
			Proficiency in SQL, SPARQL
			Familiarity with software engineering life cycle
			Familiarity with ontology manipulation programming libraries
			Exposure to data science and/or machine learning, including graph embeddings


			Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

← Older revision		Revision as of 09:48, 20 April 2022
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	===Ontologist IMDb Bristol===		===Ontologist IMDb Bristol===

			https://www.amazon.jobs/en-gb/jobs/2026698/ontologist-imdb-content

	DESCRIPTION		DESCRIPTION
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	BASIC QUALIFICATIONS		BASIC QUALIFICATIONS
	Experience working in ontology and/or taxonomy roles		*Experience working in ontology and/or taxonomy roles
	Proven skills in data retrieval and data research techniques		*Proven skills in data retrieval and data research techniques
	Ability to quickly understand complex processes and communicate them in simple language		*Ability to quickly understand complex processes and communicate them in simple language
	Ability to communicate knowledge-based requirements and needs to engineering and retail teams		*Ability to communicate knowledge-based requirements and needs to engineering and retail teams
	Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)		*Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
	Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity		*Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity
	Proven track record of strong communication and interpersonal skills		*Proven track record of strong communication and interpersonal skills
	Proficient English language skills		*Proficient English language skills

	PREFERRED QUALIFICATIONS		PREFERRED QUALIFICATIONS
	Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields		Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields

	Experience building ontologies in the entertainment and semantic search spaces		Experience building ontologies in the entertainment and semantic search spaces

	Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)		Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)

	Proficiency in SQL, SPARQL		Proficiency in SQL, SPARQL

	Familiarity with software engineering life cycle		Familiarity with software engineering life cycle

	Familiarity with ontology manipulation programming libraries		Familiarity with ontology manipulation programming libraries

	Exposure to data science and/or machine learning, including graph embeddings		Exposure to data science and/or machine learning, including graph embeddings


	Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.		Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.



	==KNOWLEDGE GRAPH AND SEMANTICS SME==		==KNOWLEDGE GRAPH AND SEMANTICS SME==