Head of Measurement & Advertising Impact (Equity)

Ativesite; New York (NY); Presencial; USD 339.000 - 484.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Six-month paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Paid sick leave

Descripción de la vacante

Spotify is seeking a Head of Measurement & Advertising Effectiveness based in New York to define and lead how we prove advertising value. You will shape measurement, guide investments with cross-functional teams, and position Spotify as a leading voice in industry standards.

You will build a high-performing global team and drive methodological rigor across incrementality, experimentation, attribution, and marketing mix modeling, aligning with product, data science, and commercial leadership.

Formación

• Senior leader with proven impact in advertising measurement at scale.
• Expertise in incrementality, causal inference, experimentation, attribution.
• Strong communicator with executive presence and cross-functional influence.

Responsabilidades

• Define and lead Spotify's global measurement and effectiveness vision across brand, performance, and full-funnel advertising.
• Advance measurement science including incrementality, experimentation, and marketing mix modeling.
• Build capabilities to translate evidence into advertiser growth and stronger partnerships.

Conocimientos

Incrementality

Causal inference

Experimentation

Attribution

Marketing effectiveness

Advertising measurement

Leadership

Cross-functional collaboration

Descripción del empleo

Spotify is seeking a Head of Measurement & Advertising Effectiveness based in New York to define and lead how we prove advertising value. You will shape measurement, guide investments with cross-functional teams, and position Spotify as a leading voice in industry standards.

You will build a high-performing global team and drive methodological rigor across incrementality, experimentation, attribution, and marketing mix modeling, aligning with product, data science, and commercial leadership.