AI Engagement Lead

Air Liquide•Radnor, PA
•Onsite

About The Position

The AI Engagement Lead orchestrates end-to-end delivery of critical AI initiatives, ensuring they are completed on time, within budget, and to a high standard. The role coordinates expert teams to advance Air Liquide’s AI vision and supports the company’s transformation by solving complex challenges and delivering effective solutions. The position offers the potential to progress into senior leadership roles such as Program Director or Department Manager. The role works closely with teams across the Digital & IT community—including Digital Delivery Services, Platforms, the CIO Office, AI teams, and Data Platform teams—and business partners in Industrial Direction and Business Service Centers. The position reports to the PMO of AI Activation and involves approximately one to two trips per year.

Requirements

  • An engineering degree in Information Systems or a related field.
  • At least 8 years of experience managing increasingly complex IT projects.
  • Strong motivation to drive business transformation through technology and AI.
  • A focus on improving Air Liquide’s efficiency and operational performance through ongoing improvements.
  • Broad knowledge of IT ecosystems, including ERP and CRM systems, IT infrastructure services, AI and Data product management, and Data platforms.
  • Familiarity with ITSM and ITFM principles for IT services governance.
  • A result-oriented mindset, resilience, and adaptability.

Nice To Haves

  • Expertise in both waterfall and agile project management methodologies; certifications are a plus.
  • A curious and innovative mindset combined with strong organizational skills.

Responsibilities

  • Drive AI project execution, ensuring technical teams meet deadlines and quality commitments.
  • Develop and execute comprehensive rollout plans for new AI initiatives to support successful adoption.
  • Manage relationships and coordinate deliverables with Digital and IT stakeholders, external vendors, and partners.
  • Build and maintain relationships with senior leadership and act as a trusted advisor on AI project status, including through recurring steering committee meetings.
  • Use and adapt a robust tracking and reporting system to provide visibility into project milestones, risks, and achievements.
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