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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Collaboration Architect - **Company:** LiveRamp - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Infrastructure, Data Sharing, Cloud Services, Google Cloud, Snowflake, Apache Spark, Data Strategy, Privacy-preserving Technologies, User Identification, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.manhattanjobs.com/job.asp?id=3496636778&tx=CT4038THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Experience. 8 - 15 years of experience in data infrastructure, ad tech, data partnerships, or a related field, including substantial experience in high-visibility, customer-facing roles such as program leadership, technical delivery, solutions architecture, or analytics consulting. Seniority based on relevant experience. * Technical depth. Hands-on fluency in at least one of the following areas. Experience applying AI productively in these contexts is highly desirable. * Cloud data platforms, such as AWS, Azure, Databricks, Google Cloud, or Snowflake * Privacy-enhancing technologies, including data clean rooms and other PETs * Identity resolution frameworks, including their capabilities, limitations, and tradeoffsAnalytics and query design, such as SparkSQL * Program delivery. A track record of designing and leading complex, multi-stakeholder data programs for enterprise customers. Experience establishing a customer-side * Center of Excellence or a similar operating model is a strong differentiatorMarketing and data collaboration expertise. Strong familiarity with at least one of the following domains: Publisher monetizationRetail / commerce mediaBrand data strategy, orMeasurement and analytics * You understand the business models, analytics priorities, data requirements, and technical decisions that drive value for both sides of a data collaborationStakeholder range. The ability to lead technical architecture discussions and executive strategy conversations within the same engagement. You are comfortable building relationships with Product, Data, Marketing, and Privacy leaders at large organizations and aligning stakeholders around a common path forward * Communication. Excellent writing and verbal skills, with the ability to translate complex technical concepts for commercial audiences, and commercial objectives for technical teams. You enjoy teaching, enabling, and helping others become self-sufficient. You love winning over reticent audiences who have had a project unexpectedly land in their lap. You are known for being one of the first people in your organization to sufficiently understand new concepts, and pair that with the communication skill to make it freshly accessible to others 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. ## Description * Partner with strategic customers to translate their ambitions into end-to-end data collaboration programs built on LiveRamp's platform. Lead customers to productive decisions on their data and technology approach, privacy framework, and operating model in the context of the customer's broader business strategy * Co-build the customer's internal operating model (organizational structure, workflows, training, partner delivery, and role responsibilities) into a Minimum Viable Program that can scale impact efficiently without LiveRamp in the room * Recommend the best solution at the intersection of LiveRamp's clean room capabilities and the customer's business objectives. Use cases may include closed-loop measurement, audience monetization, media-driven attribution, and co-branded data products. * Identify, engage, and enable the customer's agency, analytics, and data science partners. Remove operational and technical barriers that would otherwise slow program growth. * Join late-stage pre-sales efforts with commercial leaders and Solutions Engineering to scope requirements and assess customer go-to-market, technical, and organizational readiness * Co-produce a Master Playbook with the customer: a transferable, reusable foundation that documents how the customer's program works * 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 * Leverage a customer's network effects to engage and win over partners new to LiveRamp, embracing them with a high-value first clean room experienceFeed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input, To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.