VP, Tech & Data Partnerships

The Opportunity

• This is an enterprise-level leadership role responsible for defining and leading the company’s technology, data, and AI partnership strategy.
• The role reports directly to the Chief Product & Technology Officer and will serve as the executive owner of the broader technology and data partnership ecosystem.
• This is not a traditional channel or alliances sales role. The focus is on partnerships that shape the product, strengthen the company’s data advantage, and extend the reach of the platform.
• The leader will help determine where the company should build, buy, partner, or potentially acquire capabilities.

What the Leader Will Own

• Set the company-wide strategy for technology, data, platform, integration, and AI partnerships.
• Identify a focused portfolio of high-impact partnership opportunities that can improve product differentiation, innovation, distribution, and growth.
• Build trusted C-suite relationships with priority technology platforms, data providers, cloud companies, and emerging AI ecosystems.
• Originate and negotiate complex, multi-year agreements covering product scope, data rights, intellectual property, economics, investment, exclusivity, and governance.
• Shape the external data strategy, including data coverage, quality, identity, signals, licensing, and differentiated data products.
• Influence product and platform strategy by bringing an external ecosystem and market perspective into company investment decisions.
• Partner closely with Product and Engineering to ensure strategic agreements translate into funded roadmaps, clear ownership, successful launches, and measurable customer adoption.
• Establish portfolio governance, performance measures, and an operating model that allows the partnership capability to scale.
• Build and develop a senior, globally effective organization over time.

Why the Role Matters

• The company’s advantage depends on connecting high-quality data, identity, and signals with the platforms, data environments, and AI ecosystems where customers already work.
• These partnerships are viewed as a company-level lever for product innovation, differentiation, distribution, and growth, rather than simply a source of partner-sourced revenue.
• The successful leader will have significant influence over product direction, ecosystem positioning, investment choices, and how the company creates long-term strategic advantage.

What Success Looks Like

• In the first 60 days, assess the existing portfolio, market landscape, strategic gaps, team capabilities, active commitments, and role boundaries.
• By 90 days, develop an executive-ready technology, data, and AI ecosystem strategy with a concentrated set of priority bets, investment choices, executive sponsors, and Product and R&D commitments.
• Within six months, demonstrate visible progress on consequential partnerships, including signed or late-stage agreements with funded productization paths and clear measures of impact.
• Within 12 months, establish a focused portfolio producing measurable adoption, distribution, differentiation, and commercial impact, supported by trusted C-suite relationships and a scalable team and operating model.

The Profile That Will Be Successful

• An executive who has built or materially scaled a technology, platform, product, or data partnership capability.
• Someone who combines ecosystem strategy with enough technical fluency to engage credibly on architecture, APIs, data rights, identity, security, privacy, and AI.
• A sophisticated negotiator who understands partnership structures, economics, data licensing, commercialization, and joint product delivery.
• A strong cross-functional leader who can align senior Product, Engineering, commercial, legal, finance, and executive stakeholders around difficult investment and roadmap choices.
• Someone with a practical understanding of how AI, agents, and MCP are changing enterprise software ecosystems.
• A builder who can create the strategy, operating model, governance, metrics, and leadership team required for the capability to scale.