CCB Vocabulary Development VP
JPMorgan Chase has a strategic business goal to run applications on multi-cloud environments and deliver innovative solutions using AI/ML, big data, devops tools and microservices and architectures. This role is responsible for driving the development of Chase Consumer and Community Bankingâ„¢s (CCB) Vocabulary.
We are looking for a candidate with experience building semantic data architecture to join our CCB Data & Analytics Vocabulary team. You will have the opportunity create a large scale Vocabulary, which will be applied to data at hyper scale, making them both human and machine readable for our data consumers and our data scientists. With CCBâ„¢s comprehensive data, we are setting out to build knowledge graphs to facilitate better insights discovery, search, and knowledge management and governance.
Whatâ„¢s in it for you:
An influential data-centric business role within a fast-growing area. Broad scope to design and specify meta-data 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 generate vocabularies and ontologies that describe our data. The meta-data should be easily consumable by modern technology systems including Hypermedia Applications, internal APIs and graph and data modelling tools.
You will coach product managers and technology partners present the output of data design to business users (both non-technical and technical). You will be a key person in shaping the product offering and the customer experience.
The role must demonstrate the following:
Ability to move quickly and embrace an experiment-driven product development approach
Conduct user research to identify pain points and inform design
Radical thinking paired with strong execution - can envision a world different than the status quo with the ability to articulate a clear path to get there.
Outcome oriented - not reactionary; you can articulate the desired outcome and work collaboratively to create a path to achieve it. This requires a fundamental understanding of the business and its constraints (financial, marketing, compliance, legal, service, the customer environment, the technical capabilities, the user experience, etc.)
Fluency in highly technical concepts and practices, garnering respect from engineers
Manage dependencies with other team's functions while identifying, building, and managing strategic partnership across different product teams.
Responsibilities:
Coach and support CCBâ„¢s data owners in cross-disciplinary teams; Help discover, profile, acquire, process, model and own data for the solutions
Advocate the adoption of open-sourced data processing pipelines & algorithms to help clients manage and anticipate data needs from varied structured and unstructured data sources, including traditional relational stores, other NoSQL databases, and social media, news, internal/external documents, emails, etc.
Actively be involved in researching and experimenting with leading/emerging data governance and processing methodologies and technologies to facilitate advanced analytics use cases.
Develop metrics and procedures for assessing, managing and characterizing meta-data
Contribute to data architecture and data management strategy design
Participate in collaborating with the firm's Chief Data Offices and Technology Functions to develop standards and best practices
Participate in relevant industry and governance groups
Influence key stakeholders to define tasks and guidelines for workflows and manage decisions throughout the lifecycle.
Builds product backlog, prioritize its items to achieve Objectives and Key Results (OKRs) and continuously keep it up to date. Ensures product features and processes align with applicable Discover compliance and risk management standards.
Minimum qualifications:
Well-versed in Linked Data, Metadata, SPARQL, OWL, Knowledge Representation, Web Standards, W3C, Digital Libraries, Resource Description Framework (RDF), Semantic Technologies, Ontologies & taxonomies
Experience using Python and query languages such as SQL and SPARQL
Education in and/or experience with language pragmatics, linguistic data collection methodologies, and/or natural language understanding
Team development and coaching experience a plus
Bachelorâ„¢s degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
Keyword: consumer%20banking
CCB Vocabulary Development VP
JPMorgan Chase has a strategic business goal to run applications on multi-cloud environments and deliver innovative solutions using AI/ML, big data, devops tools and microservices and architectures. This role is responsible for driving the development of Chase Consumer and Community Bankingâ„¢s (CCB) Vocabulary.
We are looking for a candidate with experience building semantic data architecture to join our CCB Data & Analytics Vocabulary team. You will have the opportunity create a large scale Vocabulary, which will be applied to data at hyper scale, making them both human and machine readable for our data consumers and our data scientists. With CCBâ„¢s comprehensive data, we are setting out to build knowledge graphs to facilitate better insights discovery, search, and knowledge management and governance.
Whatâ„¢s in it for you:
An influential data-centric business role within a fast-growing area. Broad scope to design and specify meta-data 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 generate vocabularies and ontologies that describe our data. The meta-data should be easily consumable by modern technology systems including Hypermedia Applications, internal APIs and graph and data modelling tools.
You will coach product managers and technology partners present the output of data design to business users (both non-technical and technical). You will be a key person in shaping the product offering and the customer experience.
The role must demonstrate the following:
Ability to move quickly and embrace an experiment-driven product development approach
Conduct user research to identify pain points and inform design
Radical thinking paired with strong execution - can envision a world different than the status quo with the ability to articulate a clear path to get there.
Outcome oriented - not reactionary; you can articulate the desired outcome and work collaboratively to create a path to achieve it. This requires a fundamental understanding of the business and its constraints (financial, marketing, compliance, legal, service, the customer environment, the technical capabilities, the user experience, etc.)
Fluency in highly technical concepts and practices, garnering respect from engineers
Manage dependencies with other team's functions while identifying, building, and managing strategic partnership across different product teams.
Responsibilities:
Coach and support CCBâ„¢s data owners in cross-disciplinary teams; Help discover, profile, acquire, process, model and own data for the solutions
Advocate the adoption of open-sourced data processing pipelines & algorithms to help clients manage and anticipate data needs from varied structured and unstructured data sources, including traditional relational stores, other NoSQL databases, and social media, news, internal/external documents, emails, etc.
Actively be involved in researching and experimenting with leading/emerging data governance and processing methodologies and technologies to facilitate advanced analytics use cases.
Develop metrics and procedures for assessing, managing and characterizing meta-data
Contribute to data architecture and data management strategy design
Participate in collaborating with the firm's Chief Data Offices and Technology Functions to develop standards and best practices
Participate in relevant industry and governance groups
Influence key stakeholders to define tasks and guidelines for workflows and manage decisions throughout the lifecycle.
Builds product backlog, prioritize its items to achieve Objectives and Key Results (OKRs) and continuously keep it up to date. Ensures product features and processes align with applicable Discover compliance and risk management standards.
Minimum qualifications:
Well-versed in Linked Data, Metadata, SPARQL, OWL, Knowledge Representation, Web Standards, W3C, Digital Libraries, Resource Description Framework (RDF), Semantic Technologies, Ontologies & taxonomies
Experience using Python and query languages such as SQL and SPARQL
Education in and/or experience with language pragmatics, linguistic data collection methodologies, and/or natural language understanding
Team development and coaching experience a plus
Bachelorâ„¢s degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
Keyword: consumer%20banking
