Head of AI Remote

Harnham โ€ข United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead and scale the AI organization across multiple domains and business units. Define the applied AI roadmap, focusing on real-world impact rather than research-driven experimentation. Manage senior managers, ML leads, and data science teams distributed across regions.

Key Highlights
Lead AI organization
Define applied AI roadmap
Manage senior managers and teams
Key Responsibilities
Lead and scale the AI organization
Define the applied AI roadmap
Manage senior managers, ML leads, and data science teams
Technical Skills Required
Machine Learning MLOps Model lifecycle management
Benefits & Perks
$220,000 โ€“ $260,000 base + bonus
Full Remote
No visa sponsorship

Job Description


Head of AI

Remote: Full Remote (based in the US)

Salary: $220,000 โ€“ $260,000 base + bonus

Visa: No sponsorship


Company


Global technology-driven enterprise operating within the digital services and industrial solutions space.The organization manages large volumes of operational, customer, and IoT data across multiple regions. Following significant investment in data infrastructure, the company is now accelerating its AI transformation to improve efficiency, forecasting, automation, and decision intelligence at scale.


The Role


  • Lead and scale the AI organization across multiple domains and business units.
  • Define the applied AI roadmap, focusing on real-world impact rather than research-driven experimentation.
  • Manage senior managers, ML leads, and data science teams distributed across regions.
  • Oversee model deployment, governance, and operational performance in production environments.
  • Collaborate with executive stakeholders to identify high-impact AI use cases across the group.


Desired Profile


  • 10+ years of experience in data science, machine learning, or AI engineering.
  • Demonstrated experience managing large teams and complex stakeholder environments.
  • Strong background in production AI, including MLOps, model lifecycle management, and scalability.
  • Experience working within large organizations or enterprise-scale transformations.
  • Strategic mindset combined with strong leadership, communication, and execution skills.


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