Principal Collaboration Architect

Benefits

Additional Information

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. LiveRamp is the data collaboration platform trusted by 97% of the top 100 US advertisers. We provide the world's leading publishers, retailers, brands, and platforms with the infrastructure to build privacy-safe data partnerships that produce real, measurable business outcomes. Our customers include some of the most data-rich, strategically important organizations in the world: companies like Uber, TikTok, Microsoft, NBCU, and a growing roster of Commerce Media Networks and major publishers who are building the next generation of audience and measurement products. Each of them has made a significant investment in data collaboration infrastructure. The Principal Collaboration Architect is the person who makes that investment pay off. This role sits inside our Customer Growth & Insights team. This newly formed, high-visibility group is built specifically to drive program depth and network scale across our most strategic accounts. You'll partner closely with customers to design their collaboration program from the ground up: the technical architecture, the internal operating model, the use cases, and the measurement framework that proves the program is working. The goal is always the same: build something the customer's own team can run and grow independently, with LiveRamp as a strategic partner rather than a permanent fixture. If you're energized by complex, high-stakes program builds, thrive at the intersection of technical depth and commercial strategy, and take genuine satisfaction in handing off something that runs without you, and you've done it before at scale, then this role was designed for you. You will: Design end-to-end data collaboration programs: technical architecture, data schema, privacy framework, and a roadmap to scaled, independently-operated programs. Build the customer's internal operating model, organizational structure, workflows, training, and role responsibilities, until the customer's team can run the program without LiveRamp in the room. Develop and validate use cases at the intersection of clean room capability and customer business objectives: closed-loop measurement, audience monetization, media-driven attribution, and co-branded data products. Instrument a program-specific incremental value metric for every engagement: the proof point that anchors renewal, expansion, and internal investment decisions. Identify and enable agency and data science partners on the customer side; unblocking them is a direct path to faster program activation. Engage pre-sales with solutions engineering to scope technical requirements before contracts are signed, compressing time-to-value after close. Produce a Master Playbook per program. This is a transferable, reusable foundation that the customer's team owns at handoff. Maintain a partner network perspective on each account: which collaborators belong in the program, which use cases generate the strongest mutual value, and how the customer should expand over time. Feed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input. About you: Experience. 10-15 years of experience in data infrastructure, adtech, or data partnerships, with a substantial portion in senior technical customer-facing or program leadership roles. Technical depth. Hands-on fluency with cloud data platforms (Snowflake, GCP, AWS, or Azure) and working knowledge of privacy-enhancing technologies, including clean rooms, data clean room query design, and identity resolution frameworks. Program delivery. A track record of designing and leading complex, multi-stakeholder data programs for enterprise customers at a senior level. Experience establishing internal Centers of Excellence or analogous customer-side operating models is a strong differentiator. Domain knowledge. Familiarity with publisher monetization, retail media, or brand data strategy. Understanding the business model on both sides of a collaboration is essential. Stakeholder range. A