Head of AI Automation

Work Setup: Monday to Friday, Dayshift; Onsite Location: Ortigas Industry: Telecommunications Key Responsibilities: Lead the development and implementation of AI-driven automation solutions to improve operational efficiency, customer experience, and service delivery within a fiber broadband and telecommunications environment. Identify and automate business processes across customer service, technical support, billing, sales, and network operations using AI, machine learning, generative AI, and robotic process automation (RPA). Oversee the integration of AI tools, automation platforms, and intelligent systems with existing network infrastructure, CRM, ERP, and operational support systems. Drive AI-powered initiatives for network monitoring, fault detection, predictive maintenance, service optimization, customer analytics, and workflow automation. Lead AI and automation teams, manage technology partners and projects, and establish governance frameworks and performance metrics to ensure secure, scalable, and cost-effective solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field; a master's degree is an advantage. At least 8 years of experience in AI, automation, software engineering, or digital transformation, including 3–5 years in a leadership role, preferably within an internet service provider (ISP), telecommunications, or technology company. Strong knowledge of artificial intelligence, machine learning, generative AI, large language models (LLMs), robotic process automation (RPA), APIs, and workflow automation platforms. Proven experience implementing AI and automation solutions for customer operations, network management, technical support, or enterprise business processes, preferably in a fiber broadband or telecommunications environment. Strong leadership, strategic planning, and project management skills, with the ability to lead cross-functional teams, manage technology vendors, measure business impact, and ensure responsible AI implementation.