Ae you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Taxonomy  team to partner with the Business.

As a Product Management - Taxonomy - Associate within the Wealth Management team, you will be responsible for defining and maintaining the Taxonomy & Meta Data used to promote content capture, storage, and search capabilities across Document & Content Management systems. You will work closely with business Subject Matter Experts to understand Wealth Management’s business needs and translate requirements into a data model that supports systemic data extraction and integration. This role offers the opportunity to develop scalable processes to enhance Taxonomy & Meta Data definitions, ensuring accurate and consistent application of business terms, conditions, and concepts.

Job responsibilities

Define intermediate to advanced data profiling, metadata documentation, data lineage, and data transformation rules in support of key program deliverables.  Lead/assist in creating, implementing and enforcing a taxonomy and meta data inventory that satisfies Wealth Management needs across LOBs/geographies and aligns to taxonomy management best practices and metadata and vocabulary standards.  Meet data management needs of internal and external clients according to established data model standards and best practices, including problem research/resolution and customer education.  Performs data impact analyses in partnership with project teams. Supports the building of strategic model solutions including transformation rules and attribute relationships.  Participate in defining, loading, and maintaining Taxonomy Content titles, Meta Data and Attributes, including being involved in user acceptance testing and production validation testing of Taxonomy enhancements and cross impacts.  Identify new opportunities to optimize content delivery; partner with product and tech teams to support content digitization and client self-service.  Understand business vision and customer needs and identify solutions to fulfill them through the taxonomy; ensuring taxonomy and meta data attributes are client/user focused.  Partner with content creators and users across the organization, leveraging existing definitions and best practices, where applicable, including AWM and Firm-wide Chief Data Office teams.  Lead the taxonomy governance cross-functional working team, manage the new request queue, and provide oversight for the day-to-day implementation, maintenance, and governance of the taxonomy.  Analyze large amount of information to discover trends and patterns, and interpret data with clear objectives in mind.  Proactively communicate with stakeholders to ensure awareness and promote adoption.

Required qualifications, capabilities and skills:

Minimum 3 years of experience in knowledge management designing and implementing taxonomies/ontologies or related experience .Minimum 3 years of experience in managing medium to large size projects.Thorough knowledge of tools and software to extract and analyze data in the data management function (e.g., moderate knowledge of database software applications, financial modeling tools, and/or data modeling tools). Working knowledge of database, design patterns and related strategy.Working knowledge of machine learning techniques such as content clustering, content classification, etc. Demonstrated proficiency in interpersonal interactions and communication, including the ability to present complex technical and metadata information clearly to both technical and non-technical audiences, from junior to senior levels across the organization.Demonstrated capability to work both independently and as part of a team, showcasing strong problem-solving skills.

Preferred qualifications, capabilities and skills:

Bachelor’s degree in STEM (Science, Technology, Engineering, and Mathematics) or Business preferred. Familiarity with Asset & Wealth Management businesses, systems, tools, processes.Working knowledge of Tableau, JIRA, SharePoint, Confluence and Alteryx.Basic understanding of XML, JSON and Python.Solid communication skills, including business term and definition creation and categorization.Demonstrated ability to analyze and diagnose complex data issues effectively.