Remote | Data Partnerships Manager — $160,000–$250,000/year

24-Mag • New York, NY

16d • Remote

About The Position

The Data Partnerships Manager will develop B2B data partnerships for advanced AI training and evaluation initiatives. The role involves identifying and engaging companies with relevant operational workflows, discovering how their processes work, evaluating the potential of their data, and developing strategic commercial relationships from initial outreach through negotiation and onboarding. The position combines consultative business development, workflow discovery, partnership structuring, and discussions about privacy, security, confidentiality, and data ownership.

The manager will coordinate with internal operations, product, and data teams to support partner onboarding and operational alignment. They will maintain pipeline records and stakeholder communications, refine sourcing and outreach processes, document partnership and market insights, and help improve qualification, engagement, and onboarding workflows. The role requires working with founders, executives, operational leaders, and technical stakeholders, while handling commercial priorities independently in a fast-moving environment. Work must not use confidential or proprietary information belonging to any employer, client, institution, or other third party.

Requirements

• At least 3 years of professional experience in business development, strategic partnerships, enterprise sales, commercial partnerships, or a closely related customer-facing role.
• Demonstrated success sourcing, negotiating, and closing B2B partnerships or complex commercial agreements.
• Strong understanding of outbound prospecting, lead qualification, and partnership pipeline management.
• Experience building relationships with founders, executives, business owners, and senior operational decision-makers.
• Ability to conduct consultative discovery conversations and assess commercial opportunities.
• Strong commercial negotiation skills and experience structuring business partnership agreements.
• Ability to communicate sophisticated technical or operational concepts clearly to non-technical audiences.
• Comfort discussing data privacy, security, confidentiality, data ownership, and related business considerations.
• Strong understanding of partnership development processes, from initial outreach through commercial closing and onboarding.
• Practical experience using LinkedIn Sales Navigator, HubSpot, or comparable prospecting and CRM platforms.
• Excellent written and verbal communication skills, including persuasive presentations and professional stakeholder engagement.
• Strong analytical reasoning, commercial judgment, and structured problem-solving capabilities.
• Ability to manage multiple commercial opportunities and maintain accurate pipeline visibility.
• Strong organisational skills and ability to independently manage commercial priorities in a fast-moving environment.
• Resourceful, execution-oriented approach to business development and relationship management.
• Ability to collaborate effectively with operations, product, data, and other multidisciplinary teams.
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party.

Nice To Haves

• Experience in AI, data services, SaaS, technology partnerships, or digital marketplaces.
• Familiarity with data licensing, data acquisition, or emerging AI infrastructure markets.
• Experience working with small and medium-sized businesses, founders, or owner-operated organisations.
• Understanding of enterprise technology adoption, business process analysis, or operational data applications.

Responsibilities

• Identify and engage companies with operational workflows relevant to AI training and evaluation initiatives.
• Develop targeted outbound prospecting strategies across industries and business segments.
• Build relationships with founders, executives, business owners, and operational decision-makers.
• Qualify prospective partners based on their business processes, data characteristics, and partnership potential.
• Manage outreach and cultivate a pipeline of commercial partnership opportunities.
• Conduct discovery conversations to understand prospective partners’ business operations and workflow structures.
• Evaluate operational processes, workflow complexity, and potential applications of relevant business data.
• Explain how workflow data can contribute to AI model training, evaluation, and system improvement.
• Identify alignment between prospective partners’ capabilities and technical or commercial data requirements.
• Translate operational insights into defined partnership opportunities and engagement proposals.
• Develop partnership proposals that reflect business objectives, operational requirements, and commercial considerations.
• Lead discussions about engagement scope, commercial structures, and contractual terms.
• Negotiate partnership agreements and manage opportunities through commercial closing.
• Build sustainable relationships that support continued collaboration and mutual business objectives.
• Structure partnerships appropriate to different industries and company profiles using sound commercial judgment.
• Lead discussions concerning data privacy, information security, confidentiality, and data ownership.
• Evaluate proposed data-sharing arrangements against relevant business and compliance requirements.
• Explain anonymisation considerations and responsible data-handling practices to prospective partners.
• Collaborate with stakeholders to clarify data access, usage expectations, and partnership obligations.
• Support commercially practical and appropriately structured data partnership arrangements.
• Coordinate with internal operations, product, and data teams to support partner onboarding and operational alignment.
• Maintain accurate partnership pipeline records, commercial updates, and stakeholder communications.
• Develop and refine sourcing approaches, outreach messaging, and repeatable partnership acquisition processes.
• Identify improvements to partner qualification, engagement efficiency, and onboarding workflows.
• Document partnership insights, operational requirements, and market feedback to support programme development.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed