IntellectEU

AI Program Manager

IntellectEU

full-time

Posted on:

Origin:  • 🇧🇪 Belgium

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerETLGoogle Cloud PlatformKubernetes

About the role

  • Define and execute the AI Program’s vision, strategic roadmap, and budget while aligning with company goals.
  • Head IntellectEU AI practice and drive initiatives in Payment Modernization and Capital Markets Innovation.
  • Define and oversee annual and semi-annual program goals in collaboration with key stakeholders.
  • Collaborate with the Sales team to achieve revenue and profit targets, support presale efforts, and provide training.
  • Define, monitor, and control KPIs that align with strategic plans and financial targets.
  • Oversee program performance including budget management and project marginality tracking.
  • Develop and maintain resource planning and forecasting models with Finance; allocate and manage program resources.
  • Facilitate smooth transitions of resources across programs and approve hiring or termination requests.
  • Cultivate innovation and measurable business impact through stakeholder engagement and program leadership.

Requirements

  • Bachelor’s or Master’s degree in information technology, computer science, engineering, management, or a related field.
  • 5+ years of experience in an AI leadership role, such as team lead, project manager, Product Manager, or similar capacity.
  • Fluent English written and spoken.
  • Experience in client management and relationship building.
  • Strong technical background with knowledge of Software development processes, IT infrastructure and related technologies and relevant technologies in Payments Modernization.
  • In-depth understanding of AI usage in payments, securities, and trade finance.
  • Strong knowledge of AI/ML fundamentals (classification, NLP, generative models).
  • Solid grasp of Model lifecycle management (training, evaluation, deployment, monitoring).
  • Deep understanding of MLOps practices such as CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
  • Fluency in data governance, data pipelines (ETL/ELT), feature engineering, and scalable infrastructure design.
  • Strong negotiation skills to manage client expectations.
  • Excellent communication skills to articulate ideas clearly and effectively.
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