Senior Collaboration Architect

C0042 Habu Inc.; New York (NY); On-site; USD 120,500 - 152,500; Full time

Benefits offered by this job

Flexible paid time off

Work from home options

Parental leave

Medical, dental, vision, life, and dis

Disability coverage

401(k) matching up to 6%

Perks program for health and career

Job summary

LiveRamp is seeking a Senior Collaboration Architect to design and hand off privacy‑safe data partnership programs that deliver measurable outcomes for publishers, retailers, brands, and platforms. The role sits in the Customer Growth & Insights team and involves end‑to‑end program design, operating model creation, and value metric implementation to drive renewals and expansion.

The role requires 10–15 years in data infrastructure/adtech, fluency with Snowflake/GCP/AWS/Azure, and strong

Qualifications

• 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, query design, and identity resolution frameworks.
• Track record of designing and leading complex, multi‑stakeholder data programs for enterprise customers at a senior level, and experience establishing internal Centers of Excellence or analogous operating models.
• Familiarity with publisher monetization, retail media, or brand data strategy and an understanding of the business model on both sides of a collaboration.
• Ability to lead technical architecture discussions and executive strategy conversations within the same engagement, and to map 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 – a core expectation of the role.
• Strong written and verbal communication skills; able to translate complex technical concepts for commercial audiences and vice versa.

Responsibilities

• Design end‑to‑end data collaboration programs, including 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 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 to anchor renewal, expansion, and internal investment decisions.
• Identify and enable agency and data science partners on the customer side to unlock 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 – a reusable foundation that the customer’s team owns at handoff.
• Maintain a partner network perspective on each account, recommend which collaborators belong in the program and how to expand over time.
• Feed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input.

Skills

Data infrastructure

Adtech

Data partnerships

Senior technical leadership

Customer-facing programs

Tools

Snowflake

GCP

AWS

Azure

Clean rooms

Identity resolution

Job description

Senior Collaboration Architect

LiveRamp is the data collaboration platform trusted by 97% of the top 100 US advertisers. The Senior Collaboration Architect works within the Customer Growth & Insights team to design and hand off privacy‑safe data partnership programs that deliver measurable business outcomes for leading publishers, retailers, brands, and platforms.

Responsibilities

• Design end‑to‑end data collaboration programs, including 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 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 to anchor renewal, expansion, and internal investment decisions.
• Identify and enable agency and data science partners on the customer side to unlock 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 – a reusable foundation that the customer’s team owns at handoff.
• Maintain a partner network perspective on each account, recommend which collaborators belong in the program and how to expand over time.
• Feed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input.

Qualifications

• 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, query design, and identity resolution frameworks.
• Track record of designing and leading complex, multi‑stakeholder data programs for enterprise customers at a senior level, and experience establishing internal Centers of Excellence or analogous operating models.
• Familiarity with publisher monetization, retail media, or brand data strategy and an understanding of the business model on both sides of a collaboration.
• Ability to lead technical architecture discussions and executive strategy conversations within the same engagement, and to map 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 – a core expectation of the role.
• Strong written and verbal communication skills; able to translate complex technical concepts for commercial audiences and vice versa.

Compensation

The approximate annual base compensation range is $120,500 to $152,500. The actual offer will be determined by experience, skills, geography, and internal equity.

Benefits

• Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
• Comprehensive medical, dental, vision, life, and disability coverage; employee assistance program; and voluntary benefits.
• 401(k) matching plan – 1:1 match up to 6% of salary.
• Perks program for healthy lifestyle, career growth, and other employee benefits.

Equal Employment 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. We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

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