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Asset Management - Marketing - Knowledge Manager/Taxonomy - Associate/Vice President

Req #: 170087731
Location: New York, NY, US
Job Category: Asset Management
Job Description:
Taxonomist
The Taxonomist is responsible for developing controlled vocabularies and applying metadata in order to significantly improve the findability and search experience of JP Morgan external users and the internal community.
A person working in JP Morgan’s taxonomy function will design, create, edit, and/or maintain taxonomies, which are specific types of structured terms in a simple hierarchy or term sets used for organizing, indexing and retrieving content in the Asset Management business.
The role requires a solid understanding of metadata, subject classification, description cataloging, user experience, and knowledge organization. Although technical knowledge is not needed to develop taxonomies, it assists to have a strong understanding of technical environments, their use, tenants, integration and interactions.

Responsibilities
The ideal candidate is analytical, and detail-oriented. He/She believes in user centered design, has organizational skills and a passion for performing research and synthesizing findings. You naturally find problems and delight in identifying their solutions.

The candidate collaborate with SMEs and content owners/originators/people responsible to develop and test controlled vocabularies with the aim of improving search results across a number of internal and external information avenues.
He/She will also:
  • Conduct a range of analyses (competitive/comparative, Google Analytics, internal data sources, user research) to inform taxonomy development process
  • Evaluate categorized content to identify gaps in coverage, misclassified content, redundant and/or ineffective categorization rules
  • Perform complex boolean queries to efficiently identify similar content and apply auto-categorization rules according to JP Morgan’s taxonomy structure and category definitions
  • Create and maintain mappings and crosswalks to fulfill business needs and facilitate data reuse
  • Suggest ways to improve and scale our products and internal tools.
    Responsibilities
  • Gather requirements for a universal repository for all data sources including data source lineage and event-level lineage
  • Define required data elements and vocabulary and collaborate on workflow development
  • Define change management and version control policies for the data dictionary
  • Focus areas will be building a canonical form data dictionary for data needs, automation of metadata and metadata-driven processes, end-to-end content management, rights management, and ad hoc areas as required. 
  • Work with stakeholders and data providers to identify and source data needs
  • Establish best practice guidelines incorporating above and related practice (e.g. file and folder, naming conventions, etc.) 
  • Act as a product owner for the JP Morgan Taxonomy standards council to establish and manage a baseline of a common understanding of data fields, schemas, processes, and general standards. 
     
 
Technical Qualifications
  • Experience in establishing information management best practices; architecting and designing the application of metadata standards, controlled vocabularies and data rules. 
  • Experience with implementing metadata management tools preferred
  • Experience with content management tools and technologies, especially in a production and post-production environment 
  • Knowledge of relevant media metadata file formats, structures and standards; data management standards, tools and technologies
  • Demonstrate knowledge of information management programs including data structure, data systems and tools, related software and data management policies and practices
  • High attention to detail, and accuracy, within a high-volume work environment.
Required
  • Master’s degree in Library and Information Science or equivalent work experience
  • Strong problem solving and conceptual thinking abilities
  • Strong background in research and analysis, including the ability to evaluate source authority
  • Ability to balance quick decision-making with attention to quality and accuracy
  • Familiarity with information recall concepts
  • Strong qualitative and quantitative data analysis skills
  • Detail-oriented, decisive, and self-motivated
  • Excellent communication and interpersonal skills
  • Experience developing, implementing, and/or maintaining controlled vocabularies (thesauri, taxonomies, ontologies) in a business environment
  • Strong data retrieval and boolean search skills
  • Experience analyzing large datasets.
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