Head of AI Automation

People Matter PH; Eastern Manila District; On-site; PHP 4,000,000 - 7,000,000; Full time

Job summary

People Matter PH is seeking a Head of AI Automation to lead the end-to-end strategy and execution of AI-driven automation within a leading fiber broadband and telecommunications company. This role focuses on ML, GenAI/LLMs, and RPA to maximize operational efficiency, elevate customer experience, and reduce cost-to-serve.

You will drive governance, manage AI initiatives across customer service, billing, sales, and network operations, and lead AI/ML engineers and data scientists while overseeing

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• 8+ years of technical AI/automation experience in relevant sectors.
• 3–5 years in a managerial or leadership role.
• Experience in ISP/telecom or tech infrastructure environments preferred.
• Expert knowledge of AI/ML, GenAI, LLMs, APIs, microservices, and RPA platforms.

Responsibilities

• Define and execute the enterprise AI and automation roadmap across departments.
• Identify bottlenecks and deploy AI/ML, GenAI, and RPA solutions.
• Oversee AI initiatives for real-time monitoring, predictive maintenance, and analytics.
• Integrate automation platforms and LLMs into CRM, ERP, Billing/BSS, OSS, and core network.
• Lead cross-functional teams and manage vendor relationships and SLAs.
• Establish governance, data privacy and security frameworks, ROI tracking.

Skills

AI/ML algorithms

Generative AI

RPA

Vendor negotiation

Agile delivery

Cross-functional leadership

Education

Bachelor's degree in CS/IT/DS/Engineering

Tools

UiPath

Automation Anywhere

Microsoft Power Automate

Job description

About the role

The Head of AI Automation will drive the end-to-end strategy, development, and execution of AI-driven automation and intelligent systems within a leading fiber broadband and telecommunications company. This role is responsible for modernizing business and network operations through Machine Learning (ML), Generative AI / LLMs, and Robotic Process Automation (RPA) to maximize operational efficiency, elevate customer experience, and reduce cost-to-serve.

Key responsibilities

• Define and execute the enterprise AI and automation roadmap across customer service, billing, sales, technical support, and network operations


• Identify operational bottlenecks and deploy targeted AI/ML, GenAI, and RPA solutions across front-office and back-office functions


• Oversee AI-driven initiatives for real-time network monitoring, predictive maintenance, automated fault detection, customer analytics, and intelligent workflow routing


• Lead the seamless integration of automation platforms, LLM frameworks, and custom AI models into existing telecommunications platforms (CRM, ERP, Billing/BSS, OSS, and core network architecture)


• Direct cross-functional teams of AI/ML engineers, developers, and data scientists while managing technology vendor relationships, solution delivery, and SLAs


• Establish responsible AI governance, data privacy protocols, security frameworks, and ROI/KPI tracking mechanisms to demonstrate clear business impact

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field


• Minimum 8+ years of technical experience in AI, software engineering, digital transformation, or process automation


• 3–5 years in a managerial or leadership role


• Prior leadership experience within an Internet Service Provider (ISP), Telecommunications enterprise, or major Tech infrastructure firm is strongly preferred


• Expert knowledge of AI/ML algorithms, Generative AI, Large Language Models (LLMs), APIs, microservices, and RPA platforms (e.g., UiPath, Automation Anywhere, Microsoft Power Automate)


• Direct experience automating enterprise telecom processes—specifically customer operations, dispatch systems, billing engines, and network management platforms (OSS/BSS)


• Strong track record in vendor negotiation, agile project delivery, cross-departmental stakeholder management, and scalable system deployment