Chief Executive Officer - Galaxy AI

Galaxy Holdings, a digital technology group within the Sovico ecosystem, operates across multiple industries including banking, finance, securities, insurance, aviation, real estate, healthcare, and education. It serves as the Group's core technology platform, consolidating market-leading capabilities to drive digitalization, innovation, and scalable business growth across all member companies.

The CEO / Managing Director AI is the executive leader of Galaxy AI, responsible for defining

the vision, strategic direction, end-to-end operations, and commercialization of AI products and services across the entire Galaxy Group ecosystem. This role combines technology leadership and business management, with the mission to transform AI into a new growth engine, strengthen competitive advantage, and deliver sustainable economic value for the Group.

Responsibilities

AI Strategy & Development

Define the long-term vision, strategy, and organizational model for Galaxy AI over 3510 years.

Set strategic technology priorities, including AI platforms, Large Language Models (LLMs), Applied AI, Generative AI, Computer Vision, Predictive AI, and related domains.

Develop AI product portfolios and enterprise-wide AI-driven digital transformation roadmaps for group companies.

Demonstrates strong business excellence acumen, with real world achievement and ability to translate strategy into operational execution, drive performance, and deliver results.

Technology & AI Product Leadership

Approve and oversee the overall architecture of: AI Platforms/ Data Platforms & Big Data/ MLOps, AI Security, AI Governance/ Foundation Models or domain-specific AI models (finance, real estate, commerce, etc.)

Lead teams to build strategic AI products, including: AI assistants and next-generation chatbots/ Personalization and recommendation engines/ Scoring, risk assessment, and fraud detection systems/ Computer Vision, Voice AI, and industry-specific LLM applications

AI Capability & Team Building

Design and scale the AI organizational structure, including: AI Research, AI Engineering, Data Engineering, MLOps, and AI Product teams.

Recruit, develop, and retain top-tier AI talent (AI Scientists, Researchers, ML Engineers, etc.).

Establish a culture of innovation, scientific rigor, model quality standards, and AI risk management.

Operations & Governance

Own full P&L responsibility for the AI business.

Develop budgeting plans, optimize costs, and ensure strong ROI for AI investments.

Ensure stable and secure operation of AI platforms, complying with data security, privacy, and AI governance standards.

Manage AI-related risks, including bias, privacy, ethics, security, and regulatory compliance.

Business Development & AI Commercialization

Define target markets and business models for AI offerings, including: SaaS / AI Platforms/ AI-as-a-Service/ AI Consulting & System Integration

Lead Go-to-Market strategies for AI solutions.

Expand enterprise customers across industries such as real estate, finance, banking, commerce,

logistics, and services.

Identify and develop domestic and international business opportunities.

International Partnerships & Advanced Research

Build strategic partnerships with global Big Tech and AI leaders such as Google, Amazon, Microsoft, NVIDIA, OpenAI, Anthropic, and others.

Collaborate with research institutes, universities, and deep-tech startups.

Coordinate advanced AI research programs aligned with the Group's strategic direction.

Represent the Group at technology conferences, AI forums, and industry events.

Act as a strategic AI advisor to the Board of Management and member companies.

Report regularly to the Board of Directors on AI strategy, performance, and future direction.

Requirements

1215+ years of experience in technology, with at least 5 years in senior executive leadership roles.

Proven experience in building and operating AI models, AI Labs, Data Platforms, or AI products

within large organizations.

Deep expertise in: Machine Learning, Deep Learning, LLMs/ AI architecture, MLOps, Data

Engineering/ Cloud computing and AI infrastructure (GPU, distributed training)/ AI governance, data

governance, and security

Experience in Big Tech, AI companies, Fintech, PropTech, or diversified conglomerates is a

strong advantage.

Strong strategic mindset in applying AI to business growth and operations.

Proven ability to lead highly specialized technical and product teams.

Excellent communication, presentation, and stakeholder management skills with senior executives

and international partners.

Innovative, decisive, and capable of solving complex strategic challenges.

Long-term vision and pioneering mindset in AI.

Data-driven decision-maker; proactive and results-oriented.

Strong passion for technology, scientific thinking, and creativity.

Expected Outcomes / KPIs

Successful development and execution of a Group-level AI strategy.

Completion of AI Platform and Data Platform in line with the roadmap.

Achievement of revenue, profitability, and ROI targets for the AI business.

Successful deployment of AI solutions across group companies.

Development of a high-quality, international-standard AI team.

Establishment of a robust AI governance and risk management framework.

Working location: Galaxy Innovation Hub D1 Hi Tech Park, District 9, HCMC

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