Associate Data Partnerships Manager

ESRhealthcare and EXEC STAFF RECRUITERSNyc, NY
Remote

About The Position

We are looking for a Data Partnerships Manager to identify, engage, and close partnerships with companies that have valuable operational data for AI training and evaluation.

Requirements

  • 2+ years of experience in Business Development, Partnerships, Enterprise Sales, Strategic Partnerships, or a similar customer-facing role.
  • Demonstrated success sourcing, negotiating, and closing B2B partnerships or complex commercial deals.
  • Strong communication skills and the ability to build credibility with senior decision-makers.
  • Comfortable discussing sensitive topics including privacy, security, confidentiality, and data ownership.
  • Ability to explain technical concepts in a clear and compelling way to non-technical audiences.
  • Strong discovery, qualification, and consultative selling skills.
  • Experience with outbound prospecting and pipeline development.
  • Proficiency with tools such as LinkedIn Sales Navigator, HubSpot, or similar platforms.
  • Highly resourceful, execution-oriented, and comfortable operating in fast-moving environments.

Nice To Haves

  • Experience in AI, data, SaaS, marketplaces, or technology partnerships.
  • Experience working with SMBs, founders, and owner-operated businesses.
  • Familiarity with data licensing, data acquisition, or emerging AI infrastructure markets.

Responsibilities

  • Source and engage companies with valuable operational data across a variety of industries.
  • Build relationships with founders, executives, and operational leaders.
  • Conduct discovery calls to understand business processes, workflow complexity, and partnership potential.
  • Educate prospective partners on how workflow data is used to train and evaluate AI systems.
  • Lead conversations around privacy, security, anonymization, data ownership, and compliance requirements.
  • Design partnership structures that align company goals with AI customer needs.
  • Negotiate commercial terms and close partnership agreements.
  • Build and manage a pipeline of high-quality partnership opportunities.
  • Collaborate with internal operations, product, and data teams to successfully onboard new partners.
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