Conduct AI-powered web research, scraping, market analysis, and lead generation to identify clients, partners, sponsors, investors, and collaborators. Build and maintain intelligence databases, automate research workflows, verify and enrich data, analyze unstructured information, prioritize opportunities, and present actionable recommendations to leadership.
This is a remote position.
About the RoleWe are looking for a curious, analytical, and highly resourceful Data Research & AI Intelligence Specialist to help us uncover new business opportunities, partnerships, clients, and emerging market trends.
This role sits at the intersection of AI-powered research, business intelligence, lead generation, market analysis, and data intelligence. You will use modern AI tools, web research, scraping, automation, and data analysis techniques to identify organizations and individuals that could become valuable clients, partners, sponsors, or collaborators.
The ideal candidate is someone who enjoys going down research rabbit holes, connecting seemingly unrelated pieces of information, discovering opportunities before others do, and turning large amounts of unstructured information into clear, actionable intelligence.
You will work closely with leadership to identify who we should approach, why we should approach them, what opportunity exists, and how we can turn that opportunity into a meaningful business relationship.
What You'll Do
- Discover Opportunities: Use AI tools, web research, and scraping to identify potential clients, partners, sponsors, investors, and collaborators.
- Conduct Market Research: Research industries, competitors, trends, events, and emerging opportunities across hospitality, beverage, culture, events, retreats, media, and related sectors.
- Build Intelligence Databases: Collect, verify, enrich, and organize companies, contacts, projects, and opportunities into structured databases.
- Leverage AI & Automation: Build efficient AI-powered research, data collection, and lead-generation workflows using tools, APIs, scraping, and automation.
- Turn Data Into Action: Analyze findings, prioritize high-potential opportunities, and present actionable insights and recommendations to leadership.
Requirements
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