What are the typical Text Analytics jobs and responsibilities?


I am kicking off a research stream which will result in the "Text Analytics Roles & Responsibilities" doc. Before I finalize an RFI to our clients to see who/how/when/where they employ for these projects and applications, I'd like to explore what the actual roles and responsibilities are. So far we've come up with the following roles and their respective responsibilities
  • Business owner. The ultimate recipient of text analytics process results. So far I have
    • Brand manager
    • Customer intelligence analyst
    • Customer service/call center analyst
    • Risk manager
    • Competitive intelligence analyst
    • Product R&D analyst
    • Anyone else?
  • Linguist/Data Scientist. Builds language and statistical rules for text mining (or modifies these from an off-the-shelf-product). Works with business owners to
    • Create "golden copies" of documents/content which will be used as base for text analytics
    • Works with data stewards and business ownes to define corporate taxonomies and lexicon
  • Data Steward. Owns corporate lexicon and taxonomies
  • Architect. Owns big data strategy and architecture (include data hubs, data warehouses, BI, etc) where unstructured data is one of the components
  • Developer/integrator. Develops custom built text analytics apps or embeds text analytics functionality into other applications (ERP, CRM, BI, etc)
  • Others?
What roles and responsibilities am I missing? Please comment here or drop me a note at bevelson@forrester.com


Additional Roles and Responsibilities

Investigative Reporter
Legal Researcher
Academic Researcher

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