JPMC is looking for a CCB Vocabulary Community Manager to join the broader D&A Data Strategy and Product organization, reporting to the CCB Vocabulary Product Manager. This individual will grow and lead a small, high-impact team responsible for driving use and adoption of the CCB Vocabulary across the user/analyst community. The primary objective of the Vocabulary is to accelerate the value CCB drives with data to achieve maximum efficiency, scale and time to insight by making our data assets easily discoverable and searchable by both analysts and machines. The CCB vocabulary provides data publishers and data consumers with common names and meanings, and is critical enabler of the CCB Data Strategy. You will work closely with senior leaders across the Data Strategy & Product organization to develop training guides and materials, as well as provide ongoing support to both publishers and consumers of data. You will also be responsible for qualitative and quantitative monitoring of the Vocabulary.
JPMorgan Chase and CCB Data & Analytics 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 Bankingโขs (CCB) Vocabulary.
We are looking for a candidate with experience building semantic data systems to join our CCB Vocabulary team. You will have the opportunity create and use a large scale Vocabulary, which will be applied to data at hyper scale, making the data both human and machine readable for our data consumers and our data scientists. The key purpose of this role is the ability to create high quality prototypes with which to demonstrate the Vocabulary
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 CCBโขs 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
Bachelorโขs degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
Same Posting Description for Internal and External Candidates
Keyword: consumer%20banking
JPMC is looking for a CCB Vocabulary Community Manager to join the broader D&A Data Strategy and Product organization, reporting to the CCB Vocabulary Product Manager. This individual will grow and lead a small, high-impact team responsible for driving use and adoption of the CCB Vocabulary across the user/analyst community. The primary objective of the Vocabulary is to accelerate the value CCB drives with data to achieve maximum efficiency, scale and time to insight by making our data assets easily discoverable and searchable by both analysts and machines. The CCB vocabulary provides data publishers and data consumers with common names and meanings, and is critical enabler of the CCB Data Strategy. You will work closely with senior leaders across the Data Strategy & Product organization to develop training guides and materials, as well as provide ongoing support to both publishers and consumers of data. You will also be responsible for qualitative and quantitative monitoring of the Vocabulary.
JPMorgan Chase and CCB Data & Analytics 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 Bankingโขs (CCB) Vocabulary.
We are looking for a candidate with experience building semantic data systems to join our CCB Vocabulary team. You will have the opportunity create and use a large scale Vocabulary, which will be applied to data at hyper scale, making the data both human and machine readable for our data consumers and our data scientists. The key purpose of this role is the ability to create high quality prototypes with which to demonstrate the Vocabulary
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 CCBโขs 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
Bachelorโขs degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
Same Posting Description for Internal and External Candidates
Keyword: consumer%20banking
