AI Performance & Adoption Lead

University of Miami

Coral Gables (FL)

Presencial

USD 90.000 - 150.000

Jornada completa

Hace 13 días

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Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

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Ventajas ofrecidas por este puesto de trabajo

Medical & dental benefits
Tuition remission

Descripción de la vacante

The University of Miami is seeking an AI Performance Manager to maximize the effectiveness and governance of enterprise AI initiatives. This role bridges business leaders, HR, IT, data teams, and end users to improve productivity, employee experience, and decision-making.

Responsibilities include developing performance metrics, monitoring value realization, and driving adoption strategies while ensuring ethical and compliant use of AI across the university.

Formación

  • Bachelor's degree in relevant field required.
  • Minimum 5 years of relevant experience in HR, analytics, or AI governance.
  • Demonstrated ability to learn new procedures, technologies, and protocols.
  • Strong written and verbal communication skills for stakeholders at all levels.
  • Experience partnering with legal, compliance, information security and privacy teams.

Responsabilidades

  • Develops and maintains enterprise AI performance metrics and success measures.
  • Monitors AI solution effectiveness and provides optimization recommendations.
  • Conducts AI impact assessments and value realization reviews.
  • Ensures AI tools comply with policies, regulations, and ethical standards.
  • Leads AI adoption initiatives and workforce capability-building efforts.

Conocimientos

Learning agility
Teamwork
Communication
Technical proficiency
HR experience

Educación

Bachelor's degree in relevant field

Descripción del empleo

The University of Miami is seeking an AI Performance Manager to maximize the effectiveness and governance of enterprise AI initiatives. This role bridges business leaders, HR, IT, data teams, and end users to improve productivity, employee experience, and decision-making.

Responsibilities include developing performance metrics, monitoring value realization, and driving adoption strategies while ensuring ethical and compliant use of AI across the university.

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