JPMorgan Chase has a strategic business goal to run applications on multi-cloud environments and deliver innovative solutions using AI/ML, big data, develops tools and micro-services and architectures. This role is responsible for driving execution of Chase Consumer and Community Banking™s (CCB) data strategy and operating model.
As a data product management professional, you are very familiar with product management best practices across the lifecycle and can articulate how to transform how a firm delivers superior customer experiences through their product and service offerings. You are very comfortable with influencing key stakeholders in analytics, business and technology to deliver leading edge innovation with the customer and the business impact in mind, as well as, data and technology trends and their implications.
We are looking for a candidate with experience to building and using data ontologies to join our CCB Data Delivery team to drive adoption of common vocabularies and structured data. You will have the opportunity to partner with our Data Publishers making their data scalable and machine-readable for our data consumers and data scientists when building NLP/ML/AI solutions. With CCB™s comprehensive data, we are setting out to build knowledge graphs to facilitate better insights discovery, search, and knowledge management and governance.
What™s in it for you:
An influential data-centric business role within a fast-growing area. Broad scope to design and specify meta-data and data products for CCB. We expect you to be highly interested in financial services industry and have understanding of different banking products and services.
The Role:
In this exciting role we expect you to work in applying structured data methods and technologies, generate ontologies and vocabularies that describe our data. You will work with technology to make the meta-data and data discoverable via human and machine search using APIs to support data-driven decision tools and processes such as MIS, advanced analytics, including graph databases.
You will partner with product managers and technology to output data for our business users (both non-technical and technical). You will be a team member that is designed to shape the product offering and the customer experience.
Facilitate adoption of Enterprise level Product Taxonomy across multiple lines of businesses
Support to develop strategy for end-to-end implementation for one or more sets of programs
Provide support in tailoring functional solutions for local use which are anchored to the Enterprise Product Taxonomy
Assist in the requirements and testing of Enterprise Product Taxonomy enhancements
Demonstrated professional knowledge of controlled vocabularies, classification, ontology, and taxonomy
Assist to classify, analyze and map relevant content from different data publishers in alignment with our broader taxonomy and ontology infrastructure using both manual and machine learning methodologies
Collaborate with cross-functional business units to capture terms, facets, definitions, and acronyms to build, support and maintain the Enterprise Taxonomy
Utilize industry best practices to develop, test, and maintain structured data that supports and improves product integrations powered by taxonomy metadata
Qualifications
2+ years of experience working knowledge of taxonomy and ontology standards, processes, and technologies
Working knowledge of linked data and open vocabulary
Ability to work through details
Experience in business/data analysis, concept/entity extraction and structured querying to support taxonomy development and reporting
Knowledge of semantic technologies and SKOS modelling
Experience with taxonomy/ontology tools preferred
Experience using Google Search Structured Data, Metadata capture, Web Ontology Language (OWL), Knowledge Representation, W3C, Resource Description Framework (RDF), and/or JSON-LD
CCB Data & Analytics
Keyword: consumer%20banking
JPMorgan Chase has a strategic business goal to run applications on multi-cloud environments and deliver innovative solutions using AI/ML, big data, develops tools and micro-services and architectures. This role is responsible for driving execution of Chase Consumer and Community Banking™s (CCB) data strategy and operating model.
As a data product management professional, you are very familiar with product management best practices across the lifecycle and can articulate how to transform how a firm delivers superior customer experiences through their product and service offerings. You are very comfortable with influencing key stakeholders in analytics, business and technology to deliver leading edge innovation with the customer and the business impact in mind, as well as, data and technology trends and their implications.
We are looking for a candidate with experience to building and using data ontologies to join our CCB Data Delivery team to drive adoption of common vocabularies and structured data. You will have the opportunity to partner with our Data Publishers making their data scalable and machine-readable for our data consumers and data scientists when building NLP/ML/AI solutions. With CCB™s comprehensive data, we are setting out to build knowledge graphs to facilitate better insights discovery, search, and knowledge management and governance.
What™s in it for you:
An influential data-centric business role within a fast-growing area. Broad scope to design and specify meta-data and data products for CCB. We expect you to be highly interested in financial services industry and have understanding of different banking products and services.
The Role:
In this exciting role we expect you to work in applying structured data methods and technologies, generate ontologies and vocabularies that describe our data. You will work with technology to make the meta-data and data discoverable via human and machine search using APIs to support data-driven decision tools and processes such as MIS, advanced analytics, including graph databases.
You will partner with product managers and technology to output data for our business users (both non-technical and technical). You will be a team member that is designed to shape the product offering and the customer experience.
Facilitate adoption of Enterprise level Product Taxonomy across multiple lines of businesses
Support to develop strategy for end-to-end implementation for one or more sets of programs
Provide support in tailoring functional solutions for local use which are anchored to the Enterprise Product Taxonomy
Assist in the requirements and testing of Enterprise Product Taxonomy enhancements
Demonstrated professional knowledge of controlled vocabularies, classification, ontology, and taxonomy
Assist to classify, analyze and map relevant content from different data publishers in alignment with our broader taxonomy and ontology infrastructure using both manual and machine learning methodologies
Collaborate with cross-functional business units to capture terms, facets, definitions, and acronyms to build, support and maintain the Enterprise Taxonomy
Utilize industry best practices to develop, test, and maintain structured data that supports and improves product integrations powered by taxonomy metadata
Qualifications
2+ years of experience working knowledge of taxonomy and ontology standards, processes, and technologies
Working knowledge of linked data and open vocabulary
Ability to work through details
Experience in business/data analysis, concept/entity extraction and structured querying to support taxonomy development and reporting
Knowledge of semantic technologies and SKOS modelling
Experience with taxonomy/ontology tools preferred
Experience using Google Search Structured Data, Metadata capture, Web Ontology Language (OWL), Knowledge Representation, W3C, Resource Description Framework (RDF), and/or JSON-LD
CCB Data & Analytics
Keyword: consumer%20banking
