AI Implementation Project Manager

Apetan Consulting
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Information Engineering
Machine Learning
PRINCE2
Scrum
TensorFlow
AI Platforms
Information Technology
Machine Learning Operations

Job description

We are looking for an experienced AI Implementation Project Manager to lead the planning, execution, and delivery of AI-driven solutions across the organization. This role bridges business needs and technical teams, ensuring AI projects are delivered on time, within scope, and aligned with strategic goals., * Lead end-to-end delivery of AI/ML projects from initiation to deployment

  • Define project scope, timelines, budgets, and success metrics
  • Coordinate between data scientists, engineers, product teams, and stakeholders
  • Translate business requirements into technical project plans
  • Manage risks, dependencies, and change requests
  • Ensure data readiness, model deployment, and integration with existing systems
  • Monitor project progress and report status to leadership
  • Drive adoption of AI solutions across business units
  • Ensure compliance with data privacy, security, and ethical AI standards

Requirements

  • Bachelor's degree in Computer Science, Engineering, Business, or related field
  • 3-7 years of project management experience (preferably in tech or AI projects)
  • Strong understanding of AI/ML concepts and lifecycle (training, validation, deployment)
  • Experience with Agile, Scrum, or other project management methodologies
  • Excellent stakeholder management and communication skills
  • Ability to manage cross-functional teams, * Master's degree in AI, Data Science, or MBA
  • Certifications like PMP, PRINCE2, or Agile/Scrum
  • Experience with AI tools/platforms (e.g., TensorFlow, Azure AI, AWS AI services)
  • Familiarity with data engineering and cloud platforms
  • Knowledge of AI ethics, governance, and regulatory considerations, * Strategic thinking and problem-solving
  • Leadership and team coordination
  • Strong communication (technical + non-technical)
  • Decision-making under uncertainty
  • Adaptability in a fast-changing tech environment

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