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Element Fleet Management

Applied AI Lead

Element Fleet Management

Applied AI Lead responsible for embedding AI in leasing strategies at Element. Improving operational performance, client outcomes, and decision-making in a cross-functional team setting.

Posted 7/23/2026full-timeDublin • 🇮🇪 IrelandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Applied AI and Machine Learning, with a strong focus on developing AI-powered product features and solutions. Proven ability to lead technical teams and deliver AI solutions in production environments while aligning with business strategies and continuous improvement objectives.

Highest-signal resume keywords
Applied AIMachine LearningAI-Enabled Product DevelopmentTeam LeadershipFinance Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Use Case IdentificationAI Roadmap DevelopmentModel EvaluationLifecycle ManagementProduct Feature Development
Soft Skills
Cross-Functional CollaborationMentoring
Industry Keywords
Continuous ImprovementProduction EnvironmentsBusiness Strategy

About the role

Key responsibilities & impact
  • Identify high-value AI use cases by partnering with business functions to understand operating priorities and pain points.
  • Develop and maintain a prioritized Applied AI roadmap that aligns with Continuous Improvement objectives, business strategy, and enterprise priorities.
  • Lead the design, development, and deployment of AI-powered product features and internal solutions.
  • Partner with functional leads and their teams align priorities, dependencies, and delivery timelines.
  • Establish and promote best practices for experimentation, model evaluation, and lifecycle management.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience)
  • 5+ years of experience in applied AI, machine learning, or AI-enabled product development
  • Experience leading or mentoring technical teams
  • Experience delivering AI solutions into production environments
  • Experience working cross-functionally within product, engineering, and data organizations
  • Experience in the Finance industry is preferred

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities