- Workplace
- Onsite
- Type
- Full-time
- Experience
- 8+ years
- Education
- Master
- Closing date
- Today
- Source
- CareersPage
Description
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.