VP, AI & ML Strategy & Scale

Confidential

United States

On-site

USD 180,000 - 280,000

Full time

3 days ago
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Job summary

Confidential in the United States seeks a VP, AI & Machine Learning to lead the strategy, implementation, and scaling of AI capabilities across the business. This executive will translate business priorities into production-ready AI solutions and drive measurable business impact.

The role requires leading cross-functional teams of AI/ML, data science, and engineering, establishing governance, and partnering with leaders to drive AI adoption and transformation.

Qualifications

  • 10+ years of experience in technology, AI/ML, data science, or digital transformation.
  • Proven experience implementing and scaling AI solutions in an enterprise environment.
  • Strong understanding of GenAI, LLMs, machine learning, data platforms, and AI architecture.
  • Experience leading large-scale cross-functional teams and executive stakeholders.
  • Strong business orientation with a track record of turning AI strategy into production deployments and measurable results.

Responsibilities

  • Lead enterprise AI/ML strategy, roadmap, and implementation.
  • Identify and prioritize high-value AI use cases across the business.
  • Oversee deployment and scaling of Generative AI, ML, LLMs, and AI automation into production.
  • Partner with business and technology leaders to drive AI adoption and transformation.
  • Build and lead high-performing AI/ML, data science, and engineering teams.
  • Establish AI governance, responsible AI, model risk, and data standards.
  • Measure AI investments through business outcomes, adoption, and ROI.

Skills

AI/ML leadership
Executive leadership

Job description

Confidential in the United States seeks a VP, AI & Machine Learning to lead the strategy, implementation, and scaling of AI capabilities across the business. This executive will translate business priorities into production-ready AI solutions and drive measurable business impact.

The role requires leading cross-functional teams of AI/ML, data science, and engineering, establishing governance, and partnering with leaders to drive AI adoption and transformation.

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