Manager, Privacy Engineering

GCash; Metro Manila; On-site; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Career growth opportunities

Dynamic, collaborative team

Competitive and flexible compensation

Job summary

GCash is a leading FinTech company in the Philippines focused on delivering innovative and convenient financial solutions. This role focuses on privacy engineering, AI governance, and regulatory compliance across products and data systems.

Join a fast-paced team balancing technical excellence with ethical AI practices, data protection, and governance responsibilities, contributing to nationwide financial inclusion and customer trust.

Qualifications

• Experience in privacy, regulatory compliance and AI governance.
• Ability to translate mandates into technical requirements and system designs.
• Familiarity with privacy-enhancing technologies (PETs) and responsible AI concepts.

Responsibilities

• Assess regulatory and AI requirements and translate them into technical specs.
• Lead Privacy Impact Assessments and risk reviews for new products.
• Perform AI risk assessments for privacy, security, and ethics.
• Develop and integrate PETs and advanced AI solutions with compliance.
• Provide technical direction for AI system development with fairness and transparency in mind.
• Implement AI governance processes and controls for risk management.
• Engineer automation for regulatory compliance monitoring and auditing.
• Oversee data lifecycle and ML model management with privacy in mind.
• Create monitoring, metrics, and dashboards for privacy controls.
• Develop standards and guidelines for privacy, regulatory, and AI governance.
• Engage stakeholders and promote adoption of PETs and governance best practices.
• Support incident response and forensic investigations for privacy/regulatory issues.
• Carry out other tasks to enhance privacy governance.

Skills

Privacy engineering

AI governance

RegTech

Data lifecycle

Risk assessment

Compliance automation

Ethical AI

Tools

PIAs / Privacy impact assessments

Job description

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Key Responsibilities

• Technical Assessment of Regulatory and AI Requirements Evaluate and translate privacy, regulatory, and AI mandates (e.g., explainability, algorithmic fairness, data localization, consent management, accountability) into technical requirements and robust system designs.
• Privacy Impact Assessments (PIAs) & Technical Risk Reviews Lead and conduct Privacy Impact Assessments and technical reviews of new products, systems, or significant changes, ensuring identification and mitigation of privacy and compliance risks in line with global data protection requirements.
• AI Risk Assessments Perform risk assessments for AI systems to evaluate and mitigate privacy, regulatory, security, and ethical concerns associated with AI development and deployment, in compliance with recognized frameworks and industry standards.
• Privacy-Enhancing and AI Technology (PET/AI) Development & Integration Architect, develop, and deploy privacy-enhancing technologies (PETs) such as pseudonymization, encryption, and differential privacy, as well as advanced and trustworthy AI solutions ensuring compliance, fairness, and security.
• AI Solution Development Provide technical direction for the engineering of AI systems (e.g., machine learning models, automated decision engines) to ensure design and operation meet principles of fairness, transparency, accountability, and privacy.
• AI Governance Implementation Develop and maintain operational processes and technical controls for AI governance, including risk assessments, monitoring, performance and impact evaluation, and compliance mapping to relevant regulatory and ethical frameworks.
• Compliance Automation & RegTech Solutions Engineer automation tools for regulatory and AI-specific compliance monitoring, reporting, documentation, versioning, and audit functions (e.g., model cards, consent records, bias detection).
• Data Lifecycle and ML Model Management Work with data engineers and ML specialists to ensure strong privacy, security, and AI controls throughout data and model lifecycles (including collection, preprocessing, training, deployment, retention, deletion).
• Monitoring, Metrics, and Continual Improvement Create monitoring systems, dashboards, and key metrics for privacy, regulatory, and AI controls; proactively identify and address areas of technical non-compliance or exposure.
• Policy, Standard, and Guideline Development Contribute to the creation and review of technical standards, guidelines, and policies addressing privacy engineering, regulatory compliance, and AI governance requirements.
• Stakeholder Engagement and Technical Enablement Act as a technical advisor for business, legal, compliance, data science, and engineering teams, driving adoption of PETs, regulatory and engineering best practices, responsible AI, and ethical technology.
• Incident Response and Technical Forensics Support incident investigations, root-cause analyses, remediation, and reporting for privacy breaches, regulatory failings, and AI system malfunctions.
• Other Tasks as Required Carry out other responsibilities and tasks as may be assigned to support and enhance privacy, regulatory, and AI governance operations across the organization.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package