Data Partnerships Lead

Job Summary

The Data Partnerships Lead establishes the commercial framework, outbound playbook, and target pipelines for enterprise data acquisition campaigns. Core duties include sourcing high-value data providers, negotiating custom multi-year B2B licensing agreements, navigating complex data security and intellectual property evaluations with enterprise C-suites, hiring and mentoring a distributed team of Data Partnerships Managers, and collaborating with internal Product, Engineering, and Legal divisions to optimize partner onboarding workflows.

Foundational Leadership & Commercial Prerequisites

• Team-Building Tenure: Proven, successful record of leadership within Business Development, Strategic Partnerships, or Enterprise Sales functions inside high-growth corporate environments.
• Program Prototyping: A verified history of designing, testing, and scaling repeatable commercial acquisition programs or enterprise outbound sales engines completely from scratch.
• Executive Presence: Outstanding personal authority and communication styling, with an established capacity to build immediate, trusted advisory alliances with founders, C-suite executives, institutional operators, and senior business leaders.
• Negotiation Mastery: Exceptional commercial judgment, structural pricing insight, and contract negotiation skills built to handle complex enterprise sales cycles.
• Methodology Command: Deep understanding of modern consultative sales frameworks (e.g., Challenger, SPIN, Command of the Sale) paired with the ability to manage long, multi-layered partnership closure pathways.
• Technical Context Literacy: Complete comfort engaging with enterprise technology stakeholders on nuanced topics including generative AI infrastructure, data privacy architectures, data security frameworks, and intellectual property ownership models.
• Execution Bias: An entrepreneurial, self-directed operational habit that thrives when translating ambiguous marketplace signals into structured, functional execution playbooks.

Preferred Strategic Value Multipliers

• Sector Specificity: Previous experience leading Strategic Partnerships or Enterprise Sales within elite AI infrastructure providers, SaaS organizations, massive digital marketplaces, or major data analytics corporations.
• Venture Ecosystem Footprint: Direct experience working within Venture Capital (VC) systems, particularly in investment or platform value-creation roles, backed by a warm, active relationship network across startup founder ecosystems.
• Private Equity Exposure: Experience operating within Private Equity (PE) portfolio operations, corporate development, or value-creation teams tasked with identifying and unlocking hidden operational efficiencies across portfolio investments.
• Data Licensing Familiarity: Practical background drafting data licensing agreements, structuring digital asset acquisitions, or navigating emerging legal models within the modern AI training ecosystem.

Key Responsibilities

1. Macro Strategy Architecture & Pipeline Scaling (35%)

• Define the Commercial Roadmap: Design, iterate, and execute the global corporate strategy for acquiring, onboarding, and scaling high-value B2B Data Partnerships across key verticals.
• Engineer Scalable Outbound Playbooks: Establish robust pipeline generation frameworks, automated outbound sequences, and value-proposition playbooks capable of scaling across diverse target industries.
• Optimize Target Frameworks: Develop data-driven, repeatable valuation structures to score incoming partnership opportunities, ensuring team energy is tightly focused on the highest-impact companies.
• Monitor Data Metrics: Build out clear reporting systems, performance tracking dashboards, and accurate forecasting tools to continuously refine outbound conversion metrics.

2. Strategic Account Capture & C-Suite Negotiation (35%)

• Own Sovereign Alliances: Personally architect, guide, and close high-value data partnerships with tier-one partner firms, legacy institutions, and primary enterprise data owners.
• Navigate IP & Security Gates: Lead technical discussions with partner Legal and Security councils, successfully answering complex objections regarding data anonymity, confidentiality, and intellectual property protection.
• Shape Pricing Mechanics: Collaborate directly with executive leadership to evaluate market values, craft modern subscription or volume-based pricing models, and refine overall market positioning.

3. High-Performance Team Leadership & Mentorship (20%)

• Hire Top Talent: Lead the talent sourcing, screening, and hiring initiatives to construct a premier international team of Data Partnerships Managers.
• Coach Consultative Skills: Mentor, train, and structurally upskill customer-facing team members on advanced discovery techniques, complex contract structures, and consultative closing mechanics.
• Cultivate Accountability: Foster an internal team culture focused on strict accountability, speed of execution, and an intense dedication to partner satisfaction.

4. Cross-Functional Operations Integration (10%)

• Sync Internal Pipelines: Partner closely with Product, Operations, Engineering, and Legal squads to streamline data ingestion pipelines, upgrade partner onboarding tools, and maximize data security.

Core Competencies & Required Skills

Core CompetencySpecialized Technical Skill SetsEnterprise Prospecting & Outbound ExecutionTargeted account mapping, executive cold outreach architecture, value proposition formulation, multi-channel pipeline construction.Complex Commercial StructuringMulti-year data licensing drafting, liability capping strategy, revenue-share mechanics, intellectual property governance.Consultative AI SolutioningData privacy translation, enterprise governance compliance alignment, AI model training utility exposition.Distributed Team ScaleVariable OTE structure alignment, asynchronous performance coaching, remote pipeline tracking optimization.

Skills Required:

• Computer / Software / It / Data