Fabrion-posted 3 months ago
Full-time • Mid Level
San Francisco, CA

We’re building an AI-native platform where industrial data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric — an intelligent, governed layer that unifies fragmented and siloed data streams into knowledge graphs ready for high context decision-making and agentic execution. The Data Partnerships Analyst will be on the front lines of this strategy: researching, evaluating, and supporting partnerships with leading data providers (trade, compliance, entity mapping, financial, ESG, geopolitical, etc). You’ll play a critical role in mapping data ecosystems, structuring partnerships, and ensuring Fabrion’s platform is powered by the most complete, high-quality, and strategically differentiated data. This role is ideal for someone with sharp analytical skills, a curiosity for data-driven businesses, and a strong interest in how AI and partnerships intersect to transform global value chains.

  • Identify, track, and evaluate relevant data providers across global markets.
  • Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies.
  • Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion’s knowledge graphs.
  • Maintain CRM-style tracking of outreach, engagements, and deal status across priority providers.
  • Benchmark competitors’ data strategies and build landscape views of potential threats and opportunities.
  • Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks.
  • 3+ years experience in research, consulting, corporate strategy, business development or partnerships.
  • Experience in the automotive industry, particularly at an OEM and/or Tier 1 supplier, is a huge plus.
  • Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics.
  • Excellent communication and synthesis skills — able to distill complex market landscapes into crisp takeaways.
  • Exposure to B2B SaaS, data vendors, or enterprise technology ecosystems preferred.
  • Prior experience evaluating or working with data providers (e.g., S&P, D&B, etc).
  • Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions).
  • Familiarity with data licensing, APIs, or data feeds.
  • Prior exposure to supply chain, automotive, or industrial domains.
  • Competitive salary + early-stage equity
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