AI, Machine Learning and Platform Engineering Head

EastWest Bank; Taguig; Hybrid; PHP 400,000 - 650,000; Full time

Job summary

EastWest Bank in Taguig is seeking an AI/ML Platform Engineering Head to lead strategy, delivery, and operations of the Bank's AI/ML platforms and data services. You will oversee DevOps, MLOps, and DataOps, driving scale, security, and regulatory compliance.

You will collaborate with Technology, Risk, Infrastructure, Data Governance, and Data Science teams; build high-performing engineering teams; and champion enterprise AI/ML adoption across the organization.

Qualifications

• Bachelor's degree or higher in Computer Science, Data Science, Engineering, or related field.
• 12–15 years of technology leadership with 5+ years in senior/executive management roles overseeing cloud-based data and AI/ML platforms.
• Proven experience leading engineering, platform, and operations teams in regulated industries, preferably banking/finance.

Responsibilities

• Define strategic vision, roadmap, and delivery of AI/ML platforms and engineering capabilities.
• Lead scalable, secure, governed cloud-based platforms for ML lifecycle from development to production.
• Oversee platform operations, ensuring high availability, SLA compliance, and incident management.

Skills

AI/ML leadership

Cloud platforms

DevOps

MLOps

DataOps

CI/CD

Kubernetes

Databricks

Platform engineering

Regulatory compliance

Stakeholder management

People leadership

Education

Bachelor's degree in CS/DS/Engineering

Postgraduate studies in AI/Tech Management

Tools

Databricks

Kubernetes

Job description

About the Job

Location: Taguig

Corporate Title: Senior Assistant Vice President to Vice President

Work Arrangement: Hybrid

Our Enterprise Data team is looking for experienced professionals to join us in Taguig with the role of AI, Machine Learning and Platform Engineering Head.

In this role you will lead the strategy, delivery, and operational management of the Bank's AI/ML platforms, engineering pipelines, and data platform services, ensuring the scalability, resilience, and performance of critical systems that support enterprise-wide data science, analytics, and data product development. You will oversee DevOps, MLOps, and DataOps capabilities, drive AI/ML technology adoption and machine learning industrialization at scale, and collaborate with Data Governance, Risk, IT Operations, and Regulatory teams to deliver secure, compliant, and reliable platform services.

What the role will entail

• Define and execute the strategic vision, roadmap, and delivery of AI/ML platforms and engineering capabilities to advance the organization's AI and data maturity.
• Lead the design and optimization of scalable, secure, and governed cloud-based platforms that support the full machine learning lifecycle, from development and experimentation to production deployment.
• Oversee platform operations, ensuring high availability, performance, SLA compliance, job execution reliability, and effective incident management across AI/ML and data environments.
• Drive engineering excellence through the adoption of automation, observability, CI/CD, MLOps, DataOps, and DevOps best practices to enhance platform efficiency, reliability, and scalability.
• Collaborate closely with Technology, Risk, Infrastructure, Data Governance, and Data Science teams to ensure aligned delivery, regulatory compliance, and operational readiness of AI/ML initiatives.
• Build and develop high-performing engineering teams while fostering a culture of innovation, continuous improvement, and operational excellence.
• Provide leadership on enterprise AI/ML technology adoption, enabling the industrialization and scalable deployment of data-driven solutions across the organization.

What we're looking for

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; postgraduate studies in Technology Management, Artificial Intelligence, Machine Learning, or business leadership are an advantage.
• At least 12 to 15 years of experience in technology leadership, including at least 5 years in a senior or executive management role, with direct responsibility for cloud-based data and AI/ML platforms.
• Proven experience leading engineering, platform, and operations teams within a regulated industry, preferably in banking or financial services.
• Strong expertise in AI/ML infrastructure, cloud-native architectures, model lifecycle management, and the delivery of enterprise-scale MLOps and DataOps capabilities.
• Hands-on experience with cloud platforms, Databricks, Kubernetes, CI/CD pipelines, observability tools, and platform performance management, with relevant industry certifications considered an advantage.
• Strong understanding of data governance, information security, regulatory frameworks, strategic planning, stakeholder management, and people leadership, with the ability to drive large-scale technology transformation initiatives.

What you can expect from joining our team

• Career development and training opportunities
• Competitive salary package and benefits
• Performance-based incentives and recognition programs to reward high-performing individuals
• Opportunity to work with industry experts and be mentored by them
• Defined career progression paths to guide you in your professional growth