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m&a llms uat automation content_extraction

📋 Description

  • Primary SME for the M&A transactions dataset; define taxonomy and coverage.
  • Refine SOPs, validation rules, and structured data guidelines.
  • Conduct data audits to identify gaps and quality issues; implement fixes.
  • Collaborate with Product and Technology to translate requirements into workflows.
  • Support automation: ingestion logic, AI-assisted extraction, pipelines.
  • Design and execute UAT for new data features and pipeline changes.

🎯 Requirements

  • Expert in sourcing, curating, and supporting M&A content; language models.
  • 8+ years in enterprise-scale M&A content curation and downstream use.
  • Senior IC with M&A or corporate valuations expertise (2+ years).
  • Strong leadership and coaching for high-performance teams.
  • Solid data integrity, analytic performance, and employee development.
  • Strong problem-solving, results-oriented and decisive.
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