Assistant Manager - AI

Key Responsibilities

  • Partner with all departments to identify business processes and operational challenges that can be enhanced through Artificial Intelligence solutions.
  • Conduct business requirement gathering, process analysis, and feasibility assessments for AI initiatives.
  • Recommend suitable AI technologies, automation solutions, and digital innovations aligned with organizational objectives.
  • Lead and coordinate the implementation of AI projects across the organization, ensuring delivery within agreed scope, timelines, and budget.
  • Identify opportunities to implement AI tools and intelligent automation to support the planning, coordination, and execution of racing events, improving operational efficiency and service delivery where applicable.
  • Work closely with Racing Operations, Hospitality, Security, Finance, HR, Marketing, and other departments to identify event-specific AI use cases and implement practical solutions.
  • Coordinate with external vendors, consultants, and technology partners for the design, implementation, and ongoing support of AI solutions.
  • Collaborate with the IT team to ensure seamless integration of AI applications with existing enterprise systems.
  • Monitor the effectiveness, performance, and user adoption of implemented AI solutions, recommending enhancements where required.
  • Ensure all AI implementations comply with organizational IT policies, cybersecurity standards, data privacy requirements, and AI governance principles.
  • Identify opportunities to automate repetitive tasks and streamline workflows using AI technologies.
  • Develop business cases, project plans, implementation roadmaps, and management reports for AI initiatives.
  • Deliver training, awareness sessions, and user support to promote successful adoption of AI technologies across the organization.
  • Research emerging AI technologies and industry best practices, recommending innovative solutions to support continuous business improvement and digital transformation.
  • Develop AI governance guidelines, standards, and best practices to ensure the responsible, secure, and effective use of Artificial Intelligence.
  • Support organizational change management activities to facilitate successful AI adoption.
  • Perform any other duties assigned by the IT Manager.


Skills

Qualifications

  • Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
  • Professional certifications in Artificial Intelligence, Machine Learning, Cloud Technologies, Digital Transformation, or Project Management are desirable.

Experience

  • Minimum 3 years of experience in Information Technology, including experience in AI implementation, digital transformation, business process automation, or related technology initiatives.
  • Experience coordinating cross-functional technology projects and engaging with business stakeholders.
  • Experience implementing enterprise AI platforms, Generative AI solutions, intelligent automation tools, or analytics platforms is preferred.

Knowledge & Skills

  • Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), and intelligent automation technologies.
  • Knowledge of enterprise AI platforms such as Microsoft Copilot, Azure AI, OpenAI, Google AI, or equivalent technologies.
  • Strong business process analysis and requirements gathering skills.
  • Excellent project coordination and stakeholder management capabilities.
  • Knowledge of AI governance, cybersecurity, and data privacy principles.
  • Excellent communication, presentation, analytical, and problem-solving skills.
  • Ability to manage multiple projects simultaneously and work collaboratively across business functions.

Key Competencies

  • Business Partnership
  • Innovation & Digital Transformation
  • AI Solution Delivery
  • Project Coordination
  • Stakeholder Management
  • Analytical Thinking
  • Change Management
  • Customer Focus
  • Planning & Organizing
  • Accountability & Results Orientation


See also

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