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About the Role

The Senior Collaboration Architect is responsible for making a customer's data collaboration investment pay off. This role partners closely with customers to design their collaboration program from the ground up, including technical architecture, operating model, use cases, and measurement frameworks. The goal is to build programs that the customer's team can run and grow independently.

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.

Requirements

• 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.
• 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.
• 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.
• Familiarity with publisher monetization, retail media, or brand data strategy. Understanding the business model on both sides of a collaboration is essential.
• 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.
• Proficiency using AI tools to accelerate workflow output for document generation, query drafting, synthesis, and analysis.
• Strong written and verbal communication skills; able to translate complex technical concepts for commercial audiences and vice versa.

Skills

• Cloud data platforms (Snowflake, GCP, AWS, or Azure)
• Privacy-enhancing technologies
• Clean rooms
• Data clean room query design
• Identity resolution frameworks
• Publisher monetization
• Retail media
• Brand data strategy
• AI tools for workflow automation
• Technical communication
• Commercial communication

Location

• San Francisco
• New York City
• Seattle

Work Type

• Hybrid
• 2 days a week in-office

Experience Level

• Senior

Salary/Compensations

• $120,500 to $217,500

Benefits

• Flexible paid time off
• Paid holidays
• Options for working from home
• Paid parental leave
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Employee assistance program
• Voluntary benefits
• Perks programs for healthy lifestyle and career growth
• 401K matching plan (1:1 match up to 6% of salary)

About the Company

• LiveRamp is the data collaboration platform of choice for the world’s most innovative companies, a leader in consumer privacy, data ethics, and foundational identity.
• LiveRamp offers flexibility to collaborate wherever data lives to support a wide range of data collaboration use cases.
• Hundreds of global innovators trust LiveRamp to build brand and business value by deepening customer engagement, activating new partnerships, and maximizing first-party data value while adhering to compliance and privacy requirements.
• LiveRamp is the data collaboration platform trusted by 97% of the top 100 US advertisers, providing infrastructure for privacy-safe data partnerships.
• LiveRamp’s mission is to connect data in ways that matter, starting with its people.
• LiveRamp knows that inspired teams enlist people from diverse backgrounds and experiences, and that individuals do their best when they bring their full selves to work and feel they belong.
• Connecting LiveRampers to new ideas and one another is a guiding principle that informs how they hire, train, and grow their global team across nine countries and four continents.

Equal Opportunity

• LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status.
• Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
• LiveRamp uses automated decision systems (ADS) as part of its recruitment and hiring process. Candidates requiring accommodation or who believe ADS may create a barrier due to a disability or protected characteristic should notify LiveRamp.
• LiveRamp is committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.