Automation and AI Lead

Converge ICT Solutions Inc.; Pasig; On-site; PHP 4,000,000 - 8,000,000; Full time

Job summary

Converge ICT Solutions Inc. seeks an Automation and AI Lead to shape and execute the company’s AI strategy, driving the transition to an AI-first operating model. You will lead engineers, data scientists, and cross-functional teams, aligning AI investments with business goals.

You will govern ethics, manage vendors, and own ROI of intelligent automation initiatives, partnering with executives to scale enterprise AI products and sustain competitive advantage.

Qualifications

• Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a heavily quantitative field.
• Minimum of 12+ years of professional experience in software engineering, enterprise architecture, machine learning, or advanced data analytics.
• 5+ years of senior managerial experience, with a proven track record of leading multi-tiered teams (managing managers) and scaling engineering departments.
• Demonstrated experience in driving large-scale digital transformations or launching enterprise-grade AI products to market that yielded substantial business growth.

Responsibilities

• Provide strategic direction, mentorship, and leadership to engineering managers, principal architects, and data scientists across the Automation and AI division.
• Define and execute the long-term enterprise vision and roadmap for Generative AI (LLMs), predictive analytics, Machine Learning, and Intelligent Process Automation.
• Formulate and manage the annual operational and capital expenditures budget for the Automation and AI department; define KPIs to measure financial impact and cost reductions.
• Establish Responsible AI & Ethical Governance, policies for bias mitigation, data privacy, and explainability; ensure compliance with evolving standards.

Skills

Strategic vision

Executive presence

Change management

Analytical problem-solving

Technical capabilities

Enterprise MLOps & Architecture

Intelligent automation

Education

Master's or Bachelor's in CS/AI/Engineering

Quantitative field

Tools

Databricks

Snowflake

AWS

Azure/GCP

Job description

Role Summary

Automation and AI Lead responsible for shaping and executing the organization's overarching artificial intelligence and intelligent automation strategy. In this role, you will champion the transition from traditional workflows to an AI-first operating model, positioning the company at the forefront of technological innovation.You will be providing leadership to engineeris, data analysts, and cross-functional teams. You will align AI/ML investments with macro business goals, establish robust corporate governance for ethical AI, manage vendor relationships, and own the total value realization (ROI) of our intelligent automation portfolio

Qualifications

Qualifications and Experience

• Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a heavily quantitative field.
• Minimum of 12+ years of professional experience in software engineering, enterprise architecture, machine learning, or advanced data analytics.
• 5+ years of senior managerial experience, with a proven track record of leading multi-tiered teams (managing managers) and scaling engineering departments.
• Demonstrated experience in driving large-scale digital transformations or launching enterprise-grade AI products to market that yielded substantial business growth.

Certifications (Preferred)

Skills and Competencies

Soft Skills

• Strategic Vision: Ability to look beyond market hype and align AI technology with long-term, pragmatic commercial outcomes.
• Executive Presence: Outstanding communication and presentation skills, with the capability to confidently command boardroom discussions and influence senior executives.
• Change Management: Exceptional leadership skills to navigate organizational resistance and guide the enterprise through cultural shifts toward automation.
• Analytical Problem-Solving: Adept at diagnosing systemic organizational friction and prescribing highly scalable technical solutions.
• Technical CapabilitesAdvanced AI Understanding: Deep conceptual understanding of Generative AI (RAG pipelines, fine-tuning, foundational models), Neural Networks, and NLP.
• Enterprise MLOps & Architecture: Familiarity with modern MLOps governance, enterprise data warehouses (Databricks, Snowflake), and scalable cloud infrastructure (AWS, Azure, GCP).
• Intelligent Automation: Comprehensive knowledge of event-driven architectures, API orchestration engines, and Business Process Management (BPM) systems.

Key Responsibilities

Details

Departmental Leadership & Organizational Design

Provide strategic direction, mentorship, and leadership to engineering managers, principal architects, and data scientists across the Automation and AI division.Establish a high-performance engineering culture rooted in continuous innovation, operational excellence, and responsible experimentation.Oversee talent acquisition, global resource allocation, succession planning, and performance management for the department.

Enterprise AI Strategy & Technology Roadmap

Define and execute the long-term enterprise vision and roadmap for Generative AI (LLMs), predictive analytics, Machine Learning, and Intelligent Process Automation.Evaluate emerging AI/ML technologies, frameworks, and market trends to ensure the organization maintains a competitive advantage.Drive architectural standardization and platform selection across the global organization to eliminate technical silos and redundancy.

Financial Management & ROI Accountability

Formulate and manage the annual operational and capital expenditures (OpEx/CapEx) budget for the Automation and AI department.Define corporate KPIs and business metrics to measure, track, and report on the financial impact, efficiency gains, and cost reductions driven by AI initiatives.Construct comprehensive business cases for new AI/ML investments, defending proposals to the C-suite and Board of Directors.

AI Governance, Risk Management & Compliance

Establish and chair the organization's Responsible AI & Ethical Governance Board, defining policies for model bias mitigation, data privacy, and explainability.Ensure all automated systems and AI applications strictly adhere to evolving international standards and legal frameworks (e.g., EU AI Act, SOC 2, ISO 42001, GDPR).Collaborate with the Chief Information Security Officer (CISO) and Legal counsel to mitigate intellectual property risks, data leakage, and security vulnerabilities associated with Generative AI.

Corporate Stakeholder Management & Evangelism

Serve as the primary executive sponsor and evangelist for AI and Automation across the enterprise, influencing peers and business leaders to adopt automated solutions.Partner with Executive Vice Presidents and business unit heads (Product, Operations, Risk, Finance) to identify high-value strategic automation initiatives.Translate complex mathematical, data science, and infrastructural paradigms into clear, executive-level business outcomes and growth strategies.

Vendor Management & Strategic Partnerships

Lead negotiations, contractual evaluations, and service level agreements (SLAs) with global technology vendors, cloud providers, and specialized AI consultancies.Establish strategic relationships with leading AI research institutions, technology hyperscalers, and open-source communities to drive collaborative innovation.Orchestrate a balanced 'Build vs. Buy' framework for enterprise tools, ensuring optimal utilization of internal engineering resources.