Senior Collaboration Architect

About the role

The Senior 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.

Responsibilities

• 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.

Core Qualifications

• 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. Ability to lead technical architecture discussions and executive strategy conversations within the same engagement. Comfort mapping to Product, Data, and Privacy leadership at large organizations.
• AI fluency. Proficiency using AI tools to accelerate workflow output for document generation, query drafting, synthesis, and analysis. This is an active expectation of the role, not a bonus.
• Communication. Strong written and verbal communication skills; able to translate complex technical concepts for commercial audiences and vice versa.