СШАSr. Collaboration Architect
4 дн. назад
СШАSeniorOnsite
The Collaboration Architect helps customers convert data collaboration infrastructure investments into durable, scalable business value.
Обязанности
- is the data collaboration platform trusted by 97% of the top 100 US advertisers. We provide the world’s leading publishers, retailers, media networks, brands, and platforms with the infrastructure and expertise to build privacy-safe data partnerships of the kind that generate real, measurable business outcomes at scale.
- Our customers include some of the world’s most data-rich and strategically important organizations, including Microsoft, NBCU, TikTok, Uber, major publishers, and a growing number of retail and commerce media networks who are building the next generation of audience and measurement products. These companies have made significant investments in data collaboration infrastructure.
- The Collaboration Architect helps them turn those investments into durable, scalable business value. Collaboration Architects help customers move from infrastructure investment to repeatable business impact. You will shape programs that connect data, technology, people, and commercial strategy, and leave behind operating models that continue to create value long after the initial build is complete.
- This role sits within Customer Growth & Insights (CGI), the team responsible for expanding program depth and network scale across ’s most strategic accounts. You will work closely with customers to design and operationalize their collaboration programs across three connected pillars: Data and technology: data hygiene, identity, privacy, governance, levers for scale (eg, API, MCP) and cloud architecture People and operating model: partner collaboration model, roles, workflows, building a Center of Excellence, tradeoffs between custom and scalable offerings Go-to-market: Ensuring the above two pillars reinforce the underlying value proposition
- The specific plays we run vary by customer, but the objective is consistent: build a program the customer’s team can operate, scale, and improve independently, with as a strategic partner.
- If you are energized by complex, high-stakes program builds, thrive at the intersection of technical depth, operating model, and commercial strategy, and take genuine satisfaction in leaving customers stronger than you found them, this role is for you.
- RESPONSIBILITIES
- Partner with strategic customers to translate their ambitions into end-to-end data collaboration programs built on ’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 in the room
- Recommend the best solution at the intersection of ’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 , embracing them with a high-value first clean room experience Feed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input
- CORE QUALIFICATIONS
- 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 tradeoffs Analytics 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 differentiator Marketing and data collaboration expertise. Strong familiarity with at least one of the following domains: Publisher monetization Retail / commerce media Brand data strategy, or Measurement and analytics
- You understand the business models, analytics priorities, data requirements, and technical decisions that drive value for both sides of a data collaboration Stakeholder 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.
- To all recruitment agencies : does not accept agency resumes. Please do not forward resumes to our jobs alias, employees or any other company location. is not responsible for any fees related to unsolicited resumes.
Другое
- is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. is headquartered in San Francisco, California, with offices worldwide. Learn more at .com .