Sr. Collaboration Architect

LiveRamp, Inc.•New York, NY

About The Position

The Sr. Collaboration Architect works within LiveRamp’s Customer Growth & Insights team to help strategic customers turn data collaboration infrastructure investments into durable, scalable business value. The role partners with customers to design and operationalize programs that connect data, technology, people, and commercial strategy, and establishes operating models customers can operate, scale, and improve independently, with LiveRamp as a strategic partner. The work spans three connected pillars: data and technology—including data hygiene, identity, privacy, governance, scale levers, and cloud architecture; people and operating model—including partner collaboration, roles, workflows, Centers of Excellence, and the tradeoffs between custom and scalable offerings; and go-to-market, ensuring the first two pillars support the underlying value proposition. Customer-specific programs may involve use cases such as closed-loop measurement, audience monetization, media-driven attribution, and co-branded data products.

Requirements

  • 8–15 years of experience in data infrastructure, ad tech, data partnerships, or a related field.
  • Substantial experience in high-visibility, customer-facing roles such as program leadership, technical delivery, solutions architecture, or analytics consulting.
  • Hands-on fluency in at least one of the following: cloud data platforms such as AWS, Azure, Databricks, Google Cloud, or Snowflake; privacy-enhancing technologies such as data clean rooms and other PETs; identity resolution frameworks and their capabilities, limitations, and tradeoffs; or analytics and query design such as SparkSQL.
  • Track record of designing and leading complex, multi-stakeholder data programs for enterprise customers.
  • Strong familiarity with at least one of the following domains: publisher monetization, retail or commerce media, brand data strategy, or measurement and analytics.
  • Understanding of the business models, analytics priorities, data requirements, and technical decisions that drive value for both sides of a data collaboration.
  • Ability to lead technical architecture discussions and executive strategy conversations within the same engagement.
  • Ability to build relationships with Product, Data, Marketing, and Privacy leaders at large organizations and align stakeholders around a common path forward.
  • Excellent written and verbal communication skills, including the ability to explain technical concepts to commercial audiences and commercial objectives to technical teams.
  • Ability and interest in teaching, enabling others, and helping customers become self-sufficient.

Nice To Haves

  • Experience applying AI productively in the relevant technical contexts.
  • Experience establishing a customer-side Center of Excellence or similar operating model.

Responsibilities

  • Partner with strategic customers to translate their ambitions into end-to-end data collaboration programs built on LiveRamp’s platform, guiding decisions about data and technology, privacy frameworks, and operating models in the context of broader business strategy.
  • Co-build customers’ internal operating models—including organizational structure, workflows, training, partner delivery, and role responsibilities—into Minimum Viable Programs that can scale impact efficiently without LiveRamp present.
  • Recommend solutions that align LiveRamp’s clean room capabilities with customer business objectives, including use cases such as closed-loop measurement, audience monetization, media-driven attribution, and co-branded data products.
  • Identify, engage, and enable customers’ agency, analytics, and data science partners, removing operational and technical barriers to program growth.
  • Join late-stage pre-sales efforts with commercial leaders and Solutions Engineering to scope requirements and assess customers’ go-to-market, technical, and organizational readiness.
  • Co-produce a reusable Master Playbook with each customer documenting how their program works.
  • Maintain a partner network perspective for each account, identifying appropriate collaborators, mutually valuable use cases, and opportunities for customer expansion.
  • Use customers’ network effects to engage and win over partners new to LiveRamp, providing them with a high-value first clean room experience.
  • Provide structured product feedback to the product team on a defined cadence, translating program friction into actionable input.
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