The IT & AI Automation Manager is responsible for leading the organization's digital transformation through the strategic implementation of information technology infrastructure and AI-driven automation solutions. This role oversees IT operations, develops automation frameworks, and drives efficiency across business processes by leveraging artificial intelligence, machine learning, and robotic process automation (RPA) technologies.
Responsibilities:
IT Infrastructure & Operations Management
- Oversee day-to-day IT operations, systems administration, network infrastructure, and cybersecurity.
- Develop and maintain IT policies, standards, and procedures to ensure system reliability and data security.
- Manage IT vendors, contracts, and SLAs to ensure cost-effective service delivery.
AI & Automation Strategy
- Define and execute the organization's AI and automation roadmap aligned with business objectives.
- Identify opportunities for process automation and AI integration across departments.
- Lead the evaluation, selection, and implementation of automation tools (RPA, AI/ML platforms, workflow engines).
Project & Team Leadership
- Lead and mentor a team of IT professionals, automation engineers, and AI specialists.
- Manage AI and automation projects end-to-end, from ideation to deployment and continuous improvement.
- Collaborate with cross-functional stakeholders to ensure successful adoption of new technologies.
Data & AI Governance
- Establish data governance frameworks to support AI model development and deployment.
- Ensure responsible AI practices, compliance with data privacy regulations (PDPA, GDPR), and ethical use of AI.
- Monitor AI model performance and oversee continuous improvement cycles.
Budget & Resource Management
- Develop and manage the IT and automation budget.
- Track ROI of automation initiatives and report on technology investment outcomes to senior leadership.
Qualifications:
- Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or related field.
- Minimum 5 years of experience in IT management, with at least 3 years in AI/automation-focused roles.
- Proven experience implementing RPA tools (e.g., UiPath, Automation Anywhere, Microsoft Power Automate).
- Hands-on experience with AI/ML platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI).
- Strong knowledge of IT infrastructure, cloud platforms (AWS, Azure, GCP), and cybersecurity principles.
- Project management experience; PMP or equivalent certification is a plus.
- Experience in budget planning and vendor management.
Required Skills:
- Strategic thinking with the ability to translate business needs into technology solutions.
- Strong leadership and team management skills with a collaborative mindset.
- Excellent communication and stakeholder management abilities across all levels.
- Data-driven mindset with strong analytical and problem-solving skills.
- Familiarity with Agile/Scrum methodologies and iterative delivery practices.
- Knowledge of PDPA, GDPR, or relevant data privacy and compliance regulations.
- Adaptable, results-oriented, and able to thrive in a fast-paced environment.