AI Adoption Specialist

at  Katoen Natie

JOB DESCRIPTION

Opportunity Description: Seeking an AI Adoption Specialist to bridge AI and business, ensuring our AI solutions meet business goals.
USP of the Opportunity: This role is central to our AI-driven business transformation, offering a chance to support and foster AI adoption and innovation.

BUSINESS SKILLS

• Communication: Clearly articulate AI concepts and deliver impactful programs.
• Coaching: Mentor and guide colleagues on AI-related topics.
• Project Management: Manage AI projects and collaborate across functions.
• Innovation: Continuously improve and stay updated with AI advancements.
• Problem-solving: Address AI-related challenges effectively.
• Adaptability: Manage changing AI priorities and workloads.
• Open-mindedness: Embrace new AI ideas and perspectives.

TECHNICAL SKILLS

• AI Familiarity: Knowledge of AI and machine learning technologies.
• Industry Tools: Stay informed about AI-specific tools and technologies.
• Data Modeling and Analytics: Understand AI program and project management methodologies.

REQUIRED EXPERIENCE

7 years

• Educate and Build Trust: Conduct AI workshops and training, create transparency around AI projects, and address biases, privacy, and ethics.
• Collaborate and Coordinate: Work with business, project managers, and technical teams; manage cross-functional teams and relationships with clients and vendors.
• Facilitate Communication: Bridge gaps between technical and non-technical teams regarding AI.
• Bridge Teams: Translate AI concepts into business insights and ensure AI solutions align with business strategies.
• Oversee AI Programs: Manage AI-related programs, promote AI literacy, and drive organizational change.
• Mentorship and Legal Collaboration: Guide junior team members on AI, foster continuous learning, and ensure compliance with AI regulations.
• Identify Improvements: Find opportunities for sustainable AI improvements.
• Promote Ethics and Innovation: Advocate for ethical AI practices, monitor compliance, encourage creative AI applications, and stay updated with AI trends.
• User-Centric Design and Performance Monitoring: Ensure AI solutions are user-friendly, evaluate and optimize AI systems.
• Risk Management and Community Engagement: Identify and mitigate AI deployment risks, participate in external AI communities and events