Senior Vice President, Data & AI

Who We Are:

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

SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM’s platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.

How you’ll make an impact:

As the Senior Vice President, Data & AI Enablement, you will report directly to the Chief Product & Technology Officer and lead SiriusXM’s enterprise Data & AI strategy, shared foundation, governance, enablement capabilities, and measurable business impact.

You will bring together the capabilities needed to make data trusted, reusable, accessible, and actionable across the company, including Data Platform & Governance, Applied ML and Experimentation, Enterprise AI Standards, Agent and LLM Platforms, and Responsible AI and Adoption. You will establish common platforms, standards, controls, and usage practices while enabling domain teams to retain ownership of the business and product outcomes they support.

You will partner closely with the Chief Product & Technology Officer, Chief Financial Officer, Executive Leadership Team, and leaders across the business to align Data & AI priorities, investments, operating models, and value realization across SiriusXM.

What you’ll do:

Enterprise Data & AI Strategy 

• Design and build the Data & AI Solutions organization, including its leadership structure, capability model, federated partnerships, decision rights, and operating model that aligns with the direction and oversight of the Data leadership council.
• Partner closely with the Chief Financial Officer and other Finance leaders to shape enterprise data strategy, investment choices, financial and operating measurement, and Data & AI  value realization.
  

Data Platform, Architecture & Enterprise Data Products

• Own SiriusXM’s shared data and ML foundation, including core platform capabilities across storage, ingestion, streaming, orchestration,  relevant modeling, APIs, BI, and ML workflows.
• Establish the architecture, standards, and operating practices required to ensure shared data platforms are secure, reliable, observable, cost-efficient, and scalable, while retiring redundant legacy technologies.
• Partner with the CTO, CIO, Architecture, Security, Privacy, and domain engineering leaders to align platform roadmaps, technical capacity, enterprise architecture, and key operating dependencies.
• Manage shared data capabilities as enterprise products with clear ownership, roadmaps, service expectations, adoption measures, lifecycle management, and retirement plans.
• Build reusable data products and self-service capabilities, including enterprise metrics and semantic definitions, identity frameworks, experimentation and measurement infrastructure, curated datasets, APIs, cataloging, and enablement.
• Propose a governed enterprise framework for high-value metrics and data definitions, with clear ownership, business rules, calculation logic, versioning, and approved use cases in partnership with Finance and business leaders for approval by the Data Leadership Council.
  

Data Governance, Quality & Responsible AI

• Own the the execution of SiriusXM’s enterprise framework for data governance, quality, privacy, access, retention, permitted use, and control automation in partnership with Finance, Privacy, Legal, Security, and domain leaders.
• Establish clear accountability for critical data, enterprise definitions, quality standards, monitoring, issue resolution, and escalation, with governance embedded through scalable standards and automation for approval by the Data Leadership Council.
• Lead enterprise AI standards and responsible AI practices, including approved tooling, risk frameworks, data-use expectations, human oversight, model monitoring, auditability, and post-launch measurement.
• Integrate data and AI governance into a coherent enterprise operating model that enables innovation while preserving clear decision rights, regulatory compliance, and security.
• Drive responsible AI adoption across SiriusXM by translating governance into practical, scalable operating practices that support secure innovation, measurable impact, and human-centered use of AI in partnership with People & Culture.
  

Data Science, Applied ML & Enterprise AI Enablement

• Establish the enterprise Data Science and Applied ML discipline, including standards for model development, experimentation, evaluation, MLOps, production adoption, performance management, and talent development.
• Drive Applied ML and Experimentation for assigned areas.Enable product-embedded ML teams through shared platforms, reusable capabilities, governance, evaluation frameworks, and communities of practice, while preserving accountability within Product and Engineering.
• Build and scale SiriusXM’s Agent and LLM platform and enterprise AI enablement model, including approved tools, reusable patterns, training, adoption mechanisms, and ongoing support.
• Working with People & Culture drive AI-enabled ways of working across Product & Technology and the broader enterprise, with clear measures of adoption, productivity, quality, speed, and organizational capacity.
• Partner with the People & Culture org and functional leaders to evolve roles, skills, and operating models so AI transformation strengthens organizational leverage, workforce readiness, and appropriate governance.

Business, Product & Domain Partnerships

• Build durable partnerships across SiriusXM’s major product and business domains, including listener experiences, personalization and discovery, automotive, advertising and MarTech, subscriptions and growth, content and programming, and enterprise operations.
• Enable domain analytics and applied science teams to translate business priorities into actionable insights, experimentation, recommendations, and production capabilities that drive measurable outcomes.
• Establish a clear federated operating model in which domain and product leaders retain accountability for business outcomes and priorities, while Data & AI Enablement provides shared capabilities, standards, governance, talent practices, and enterprise-wide coordination.
  

Investment, Measurement & Executive Accountability

• Partner with the CPTO, CFO, and Finance leadership to align Data & AI priorities, investment decisions, enterprise metrics, platform economics, and value realization with broader business and technology priorities.
• Establish an enterprise Data & AI scorecard that measures business impact, data trust, platform performance, adoption, risk and control health, workforce effectiveness, and realized value.
• Define clear executive measures of effectiveness, including speed from approved business need to trusted decision or production capability, while distinguishing realized benefits from forecasts and surfacing material risks and variances.
• Provide regular executive reporting on progress, investment performance, trade-offs, dependencies, risks, decisions, and measurable outcomes.

Organization, Leadership & Talent

• Establish a strong functional home for Data & AI talent working with People & Culture, with clear career frameworks, leadership expectations, talent development, and succession planning across critical disciplines.
• Build the leadership capacity and organizational mechanisms required to manage a broad, enterprise-wide mandate with clarity, accountability, and effective decision-making.
  

What you’ll need:

• Typically has 20 or more years of progressive leadership experience across enterprise data, analytics, artificial intelligence, machine learning, data platforms, technology, or a comparable complex technology-enabled environment.
• 10–15 years of progressive leadership experience, including significant experience leading senior teams and complex organizations.
• Bachelor’s degree in computer science, engineering, mathematics, statistics, business, or a related field; advanced degree is a plus.
• Significant executive leadership experience across data, analytics, AI, technology, or enterprise enablement, with accountability for strategy, execution, talent, investment, and measurable business outcomes.
• Deep experience shaping enterprise data strategy and modernizing shared platforms, governance, data quality, and self-service capabilities.
• Proven success leading federated operating models that balance enterprise standards, platforms, controls, and talent practices with domain-level ownership and execution.
• Strong expertise across modern Data & AI capabilities, including applied ML, experimentation, MLOps, generative AI and LLM platforms, responsible AI, and enterprise adoption.
• Strong understanding of data architecture, identity, semantic models, metadata and lineage, privacy, security, compliance, and operational reliability.
• Track record of translating Data & AI investments into measurable customer, financial, and operating outcomes, including growth, retention, engagement, personalization, efficiency, and improved decision-making.
• Demonstrated ability to partner with senior executives across Product, Technology, Finance, and the business to set priorities, evaluate investments, resolve trade-offs, and drive enterprise outcomes.
• Experience leading large, complex organizations through transformation, operating-model change, and organizational scaling.
• Exceptional executive presence and communication skills, with the ability to translate complex technical and analytical topics into clear decisions and action.
• A pragmatic, enterprise-minded leader who knows what to centralize, what to federate, and how to create leverage without unnecessary bureaucracy.
• A strong people leader who develops senior talent, builds organizational capability, and fosters a culture of accountability, innovation, inclusion, and continuous improvement.
• Deep commitment to responsible AI, data stewardship, privacy, security, and the trust required to scale Data & AI across the enterprise.
• Experience in media, advertising, subscriptions, consumer technology, automotive, connected services, or another complex multi-domain business preferred.
• Must have legal right to work in the U.S.

At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $342,000 to $416,000 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.

Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.

The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

R-2026-09-27