Senior Director, Applied Data & AI Solutions

Ally-Financial

Charlotte (NC)

Ibrido

USD 170.000 - 300.000

Tempo pieno

11 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

20 PTO days
11 holidays
401K with matching
Stock purchase plan
Tuition assistance

Descrizione del lavoro

Ally Financial seeks a visionary Senior Director of Applied Data & AI to lead a multidisciplinary team delivering data, analytics, AI, and intelligent automation solutions at scale. You will partner with executives to drive measurable business outcomes across the enterprise.

This role requires deep expertise in data ecosystems, AI platforms, and modern engineering practices, including cloud-native architectures and DevSecOps, to accelerate value creation and risk-managed growth.

Competenze

  • Significant technical experience leading data, AI, and software engineering in complex enterprise environments.
  • Experience partnering with business leaders to deliver technology solutions that drive measurable outcomes.
  • Deep expertise across modern Data & AI ecosystems including cloud platforms, data engineering, analytics, APIs, ML, generative AI, automation.

Mansioni

  • Lead Ally's Applied Data & AI engineering org delivering data, analytics, AI, and automation solutions.
  • Partner with business/tech leaders to translate opportunities into scalable capabilities.
  • Shape technology roadmaps and investment priorities for enterprise Data & AI adoption.

Conoscenze

Data & AI leadership
Cloud platforms
APIs
Machine learning
Generative AI
Automation technologies
Stakeholder influence

Formazione

Advanced degree preferred
High school Diploma or GED

Descrizione del lavoro

Ally Financial seeks a visionary Senior Director of Applied Data & AI to lead a multidisciplinary team delivering data, analytics, AI, and intelligent automation solutions at scale. You will partner with executives to drive measurable business outcomes across the enterprise.

This role requires deep expertise in data ecosystems, AI platforms, and modern engineering practices, including cloud-native architectures and DevSecOps, to accelerate value creation and risk-managed growth.

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