AI Governance Specialist

About TrueMoney

TrueMoney is a leading international fintech brand providing innovative payment and financial services across seven countries in Southeast Asia. With its user-friendly digital platform, extensive agent network, and comprehensive offline and online services, TrueMoney empowers millions of users to make easy, secure payments and enjoy a more convenient financial lifestyle.

Since its establishment, TrueMoney has grown to become the most popular digital financial application in the region, playing a central role in expanding access to financial services and improving quality of life for individuals and MSME communities.

TrueMoney is part of Ascend Money, a regional digital financial services company founded in 2013, which reached a major milestone by becoming Thailand's first fintech unicorn in 2021.

Job Purpose

Provide end-to-end AI governance oversight to ensure AI initiatives are compliant, ethical, secure, and risk-managed, while enabling responsible innovation.

Key Responsibilities

• Own and maintain the organization's AI Governance framework, policies, and standards aligned with regulatory and business expectations
• Act as the central authority for AI risk decisions, including approval, rejection, and escalation of AI use cases
• Establish and operate an AI risk classification and assessment process aligned with EU-style risk-based governance
• Maintain a centralized AI inventory covering internal, external, and vendor-provided AI systems
• Define minimum Responsible AI controls covering human oversight, transparency, data governance, security, and fairness
• Review AI use cases across the lifecycle (design, build, deploy, operate) and ensure required controls are implemented before go-live
• Coordinate with Legal, Compliance, Security, and Data Governance on AI-related risks and regulatory obligations
• Oversee third-party and vendor AI risk assessments and contractual governance requirements
• Monitor deployed AI systems for ongoing risk, incidents, and material changes, and manage escalation and remediation
• Ensure AI documentation, record-keeping, and evidence are audit-ready and regulator-ready
• Prepare and present AI risk posture, key issues, and decisions to management and relevant committees
• Promote awareness and understanding of Responsible AI principles across business and technical teams

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, Cybersecurity, or a related field; a Master's degree in Cybersecurity, Technology Risk, Data Science, or IT Governance is an advantage
• Minimum 7 years of hands-on experience in IT risk management, technology risk, information security, compliance, data governance, or audit within a regulated or financial services environment
• Practical, end-to-end understanding of the AI/ML lifecycle (use-case intake, data preparation, model development, deployment, monitoring) and associated risks such as bias, explainability, data quality, model drift, and misuse
• Proven experience working with regulators, internal/external audits, and regulatory frameworks (e.g. banking regulations, data protection, model risk, technology risk)
• Strong capability in producing governance artifacts including policies, risk assessments, control frameworks, inventories, approval records, and audit evidence
• Demonstrated ability to coordinate across technical and non-technical stakeholders (business, data science, legal, compliance, security, vendors)
• Experience in financial services, banking, fintech, insurance, or other highly regulated industries
• Solid familiarity with EU-style, risk-based AI governance concepts (e.g. prohibited vs high-risk AI, human oversight, transparency, post-deployment monitoring), even if implementation experience is emerging
• Relevant professional certifications such as CISA, CISM, CISSP, CRISC, ISO/IEC 27001 LA, CDPSE, or AI-focused credentials such as IAPP AIGP, ISO/IEC 42001 (AI Management System), or equivalent
• Ability to translate complex technical AI risks into clear business, risk, and regulatory language for senior management and decision-making committees

Key Competencies

• Risk-based thinking
• Independent judgment
• Clear communication
• Balanced mindset: governance without blocking innovation

Reporting Line

• Reports to: AI Governance Lead
• Works closely with: Business, Data Science, Tech , Legal, Compliance,DGO , Security