Data Partnerships Analyst

Data Partnerships Analyst

Location: San Francisco Bay Area
Type: Full-Time
Compensation: Competitive salary + early-stage equity

Backed by 8VC, we’re building a world‑class team to tackle one of the industry's most critical infrastructure problems.

About the Role

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.

Responsibilities

• Market Landscaping & Research : Identify, track, and evaluate relevant data providers across global markets.

• Deal Support : Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies.

• Data Evaluation : Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion’s knowledge graphs.

• Partnership Pipeline : Maintain CRM‑style tracking of outreach, engagements, and deal status across priority providers.

• Competitive Intelligence : Benchmark competitors’ data strategies and build landscape views of potential threats and opportunities.

• Cross‑Team Collaboration : Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks.

What We’re Looking For

Core Experience

• 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.

Mindset

• Systems thinker: curious about how fragmented datasets connect into real‑world decision and execution systems.

• Comfortable navigating ambiguity and building processes from scratch.

• High ownership: proactive, organized, and reliable in pushing workstreams forward.

• Excited to work closely with founders and investors in a fast‑paced, high‑stakes environment.

Bonus Skills

• 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.

Why This Role Matters

Our platform’s intelligence is only as strong as the data it is built on. The Data Partnerships Analyst helps ensure Fabrion gains early access to the most critical and differentiated data sources.

This role gives you direct exposure to startup founders, investors, and senior executives at leading data providers. You’ll develop a unique perspective at the intersection of data, AI, and industrial transformation, while shaping the partnerships that power Fabrion’s AI agents.

If you’re excited to map the global data landscape, help secure strategic partnerships, and build the foundation of an AI‑native enterprise platform, we’d love to hear from you!