Manager, Ad Data Operations

• Translate complex business and product KPIs into scalable semantic models using dbt, SQL, and Snowflake
• Lead the design and maintenance of dimensional models that support standardized metric definitions across teams
• Act as a key contributor in semantic layer architecture discussions and tool selection
• Collaborate with product managers, architects, product analysts and data engineers to ensure clear and actionable KPIs and data requirements
• Manage the modeling of KPIs and business logic through a semantic layer that supports self-service analytics and consistency across reports and dashboards
• Act as a thought partner to analysts and business leads, helping them access and interpret data effectively
• Own development standards including CI/CD workflows, model testing, performance optimization, and code reviews
• Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
• 5+ years of experience as a technical analyst or data modeling in cloud data platforms
• Expertise in SQL, dbt, and Snowflake
• strong understanding of data warehousing and ELT architecture
• Deep knowledge of dimensional modeling, metric standardization, and semantic layer principles
• Experience working with modern data platforms (Snowflake preferred) and modeling tools like dbt
• Strong stakeholder management skills
• able to explain complex data logic to non-technical audiences
• Familiarity with CI/CD, version control (Git), scripting (Python/Shell), automated testing, and analytics workflow orchestration
• Excellent communication skills and a collaborative mindset
• Experience driving metric governance at scale (e.g., shared definitions, metric catalogs, audit logs)
• Must have legal right to work in the U.S.

discretionary short-term and long-term incentives