Revantage Corporate Services

  • Sr Specialist - Ontologist/Taxonomist

    Job Locations US-Chicago
  • Due to the continued growth of our organization, Revantage Corporate Services is seeking a motivated and entrepenurial professional to join our team as an Sr Specialist - Ontologist/Taxonomist


    Technology comprises a team of data professionals focused on delivering solutions to improve decision-making, optimize internal business processes, increase operational efficiency, and ultimately, transform data into actionable insights. As the Sr Specialist - Ontologist/Taxonomist, you will design data concepts, entities, and relationships to define the full universe of data across the business. The successful candidate must possess deep experience developing, implementing, and maintaining enterprise-wide taxonomies and ontologies.


    Revantage Corporate Services (RCS) is a wholly owned company of Blackstone that provides best-in-class professional shared services globally to Blackstone's real estate portfolio companies in various sectors including multifamily (LivCor), commercial office (EQ Office), retail (ShopCore), industrial (Link Industrial), senior living (Longview) and hotel (BRE Hotels and Resorts). We are dedicated to our clients, helping them solve critical and complex real estate issues, with access to resources, data, and the world’s most influential real estate leaders.


    We are building a culture that inspires people to drive change, stand up to challenges, and embody the daring spirit to outperform yesterday’s best. Our vision sees us personally exploring new ideas and capabilities, proactively seeking the needs of our partners and people to unlock new opportunities. We are partnering in possibilities to unlock our greatest potential, together.


    Technology will unlock the potential of Revantage. Help us deliver best in class tools, services, and insights.

    As the Sr Specialist - Ontologist/Taxonomist, one is held accountable to, however not limited to the following job functions: 

    • Design and deploy taxonomies and ontologies that connect data assets across the enterprise and optimize data base performance.
    • Develop and maintain data artifacts, including data catalogs, data dictionaries, and data workflows.
    • Create and maintain complex Boolean queries to classify data attributes, as well as design entity relationship diagrams (ERD) that meet business requirements
    • Categorize and connect data assets across key stakeholder domains:
    • Design, deploy, and maintain enterprise-wide taxonomies and ontologies
    • Data mine catalogues to identify the best ways to collate and categorize data assets
    • Research, evaluate, and recommend process improvements, including automated systems for knowledge capture, transformation, and presentation of information
    • Evangelize standard terminology and best practices:
    • Collaborate with Enterprise Technology teams to satisfy business requirements and implement change management practices
    • Articulate the business case for using proposed taxonomies and ontologies, providing clear comparisons with other contemporary modeling approaches
    • Lead and contribute daily to data management and governance initiatives


    • Bachelor’s or Master’s degree in an Information Science, Library Science, Engineering, Economics, or related technical discipline
    • 5+ years of experience in modeling techniques for conceptual, logical, and physical data models 
    • 5+ years of experience building models, ontologies, taxonomies, and other structures 
    • Familiarity troubleshooting and mitigating metadata issues across enterprises
    • Familiarity with multiple database platforms such as Oracle, DB2 and SQL Server 
    • Experience designing entity relationship diagrams (ERD) that describe business requirements
    • Experience managing and documenting deliverables for data governance projects
    • Knowledge of data format standards, including industry standards (e.g., XMI for interchange of XML) 
    • Experience with Agile methodologies
    • Ontology standards (e.g., OWL)
    • Ontology tools (e.g., TopBraid, Protégé)
    • Experience in Financial Services, Private Equity, and/or Real Estate
    • Database management systems (e.g., SQL Server, Oracle, Teradata)
    • Data modeling tools (e.g., Enterprise Architect, ERWin, ER/Studio, IBM Data Architect)
    • ETL tools (e.g. Informatica, DataStage, Goldengate)
    • Experience with Microsoft Azure platform (Azure-SQL, Data Factory, Data Lake)
    • Graph database knowledge
    • Advanced knowledge of modeling normalized data structures and manipulating data sets
    • Deep understanding of different data storage and access models (transactional, data staging, operational data store, data warehouse, data mart)
    • Skill at communicating solutions, ideas, suggestions to a variety of (business) stakeholders effectively and comprehensibly
    • Conceptual and analytical thinker – ability to extract, analyze, and document complex data concepts and relationships



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