Manager, Ad Data Operations

Sirius XM Radio • New York, NY

2d • Hybrid

About The Position

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are. This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM's vision to life every day. SiriusXM Media is the gateway for marketers to the largest digital audio advertising ecosystem in North America. As the combined advertising revenue organization of Sirius XM Holdings Inc., SiriusXM Media spans across leading owned and operated audio platforms Pandora and SiriusXM; innovative ad tech solutions powered by AdsWizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBCUniversal, SoundCloud, and many more. Reaching more than 150 million listeners each month, SiriusXM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe. As a Manager, Ad Data Operations, you'll design, maintain and optimize technical solutions for the foundation of our semantic layer. You'll collaborate closely with product management, product analytics, engineering, and executive stakeholders to design and manage a semantic layer that enables faster, data driven decision-making across the company. You'll shape how teams access, interpret, and act on KPIs, empowering both data-savvy analysts and non-technical stakeholders. Your ability to bridge business and technology will be instrumental in driving transformation initiatives and delivering measurable impact.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees