Senior Vice President, Data & AI Enablement

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 talent 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.

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 talent 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 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.