Senior Collaboration Architect

Jobtailor; California (MO); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior leader to design and deploy end-to-end data collaboration programs, owning architecture, privacy, and scalable roadmaps. You will partner with client teams to ensure they can run the program independently, without hands-on guidance.

You will validate use cases at the intersection of clean room capabilities and business goals, define value metrics, and coordinate with data science and agency partners to accelerate activation.

Qualifications

• 10-15 years of experience in data infrastructure, adtech, or data partnerships, with senior customer-facing roles.
• Hands-on fluency with cloud data platforms (Snowflake, GCP, AWS, or Azure) and privacy tech including clean rooms.
• Track record of designing and leading complex, multi-stakeholder data programs for enterprises.
• Familiarity with publisher monetization, retail media, or brand data strategy.
• Ability to lead technical architecture discussions and executive strategy conversations.
• Proficiency using AI tools to accelerate workflow output for documents, queries, synthesis, and analysis.
• Strong written and verbal communication skills; translating complex tech for commercial audiences.

Responsibilities

• Design end-to-end data collaboration programs: architecture, schema, privacy framework, and scalable roadmaps.
• Build the customer’s operating model, workflows, training, and roles until they can run independently.
• Develop and validate use cases at the intersection of clean rooms and business objectives.
• Instrument program-specific incremental value metrics to anchor renewals and investments.
• Identify and enable agency and data science partners to accelerate activation.
• Engage pre-sales with solutions engineering to scope requirements before contracts.
• Produce a Master Playbook per program for transfer to the customer’s team.
• Maintain a partner network perspective on collaborators and expanding value over time.
• Feed structured product feedback to the product team on a regular cadence.

Skills

Data Infrastructure

Cloud Data Platforms

Technical Architecture Leadership

Program Leadership in Data Partners

Executive Stakeholder Communication

AI Tools for Workflow Automation

Tools

Snowflake

GCP

AWS

Azure

Job description

• 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.
• Familiarity with publisher monetization, retail media, or brand data strategy.
• Ability to lead technical architecture discussions and executive strategy conversations within the same engagement.
• 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.

Core Competencies

Demonstrates expertise in designing and leading complex data collaboration programs, with a strong focus on technical architecture, data schema, and privacy frameworks. Proficient in leveraging cloud data platforms and AI tools to enhance workflow efficiency and drive customer success.

Highest-signal resume keywords

• Data Infrastructure Expertise
• Cloud Data Platforms (Snowflake, GCP, AWS, Azure)
• Technical Architecture Leadership
• Program Leadership in Data Partnerships
• Strong Communication Skills

Hard Skills

• Data Schema Design
• Privacy Framework Development
• Use Case Validation
• Incremental Value Metrics
• Data Clean Room Query Design
• Identity Resolution Frameworks
• Publisher Monetization
• Retail Media Strategy
• AI Tools Proficiency
• Multi-Stakeholder Program Management

Soft Skills

• Written Communication
• Verbal Communication
• Stakeholder Engagement
• Training and Mentoring

Industry Keywords

• Adtech
• Data Partnerships
• Clean Rooms
• Audience Monetization
• Media-Driven Attribution
• Co-Branded Data Products