Director - Applied AI & Transformation
Director - Applied AI & Transformation
Michael Page- Posted a day ago
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Job Description
- Lead enterprise-wide AI transformation strategy
- Build and scale applied AI for big enterprise
Our client is a leading financial institution in Vietnam undergoing a major technology and digital transformation journey. The organization is investing significantly in AI, data, cloud, and emerging technologies to enhance productivity, automate processes, improve customer and employee experiences, and create new sources of business value.
Job Description
- Define and drive the enterprise AI strategy, roadmap, and target architecture, aligning AI investments with strategic business priorities.
- Lead the development and implementation of Generative AI, Agentic AI, and other applied AI use cases from ideation and experimentation through to production.
- Establish robust AI governance, Responsible AI standards, security controls, and operating frameworks covering areas such as privacy, explainability, fairness, risk, and model performance.
- Build scalable AI capabilities across cloud, data, ML/GenAI platforms, LLMs, vector databases, model management, orchestration, and monitoring.
- Drive the industrialization of AI through strong MLOps/GenAI Ops practices, including testing, versioning, deployment, monitoring, and continuous improvement.
- Partner with senior business and technology stakeholders to identify, prioritize, and deliver high-value AI opportunities with measurable business outcomes.
- Lead technology and vendor strategy across AI platforms, LLM providers, cloud technologies, and related solutions.
- Build and lead a high-performing Applied AI team, developing capabilities, career paths, and a strong AI community across the organization.
- Drive organizational adoption by embedding AI solutions into business processes, technology platforms, and operating models.
- Establish appropriate KPIs, OKRs, and value-realization mechanisms to measure the impact of AI investments and transformation initiatives.
- 7+ years of experience across technology transformation, digital transformation, process re-engineering, data, analytics, or AI, ideally within financial services.
- 5+ years of leadership experience, managing senior technology, data, AI, or transformation professionals.
- Strong track record of taking AI/analytics initiatives from concept or PoC through to scaled production and adoption.
- Hands-on experience with Generative AI, NLP, Machine Learning, RAG, LLMs and/or Agentic AI.
- Strong understanding of AI architecture, MLOps/GenAI Ops, AI governance, and Responsible AI.
- Experience with technologies such as Azure, Databricks, Azure ML, MLflow, Python, SQL, or equivalent platforms.
- Experience leading enterprise-wide AI adoption, change management, and transformation programs.
- Strong commercial and business mindset, with the ability to connect AI investments to measurable business value and productivity gains.
- Excellent stakeholder management and communication skills, with the ability to engage both C-level executives and technical teams.
- Fluency in English and Vietnamese.
- Experience with Microsoft 365/Copilot adoption at enterprise scale.
- Experience managing AI/technology vendors and LLM or AI platform partnerships.
- Exposure to vector databases, prompt management, AI evaluation frameworks, and AI safety/guardrails.
- Relevant certifications in Azure AI, data, cloud architecture, AI, or change management.
- Competitive salary ranging with relocation support for Vietnamese oversea.
- Opportunity to shape the AI agenda of a leading financial institution in Vietnam.
- Significant ownership across AI strategy, innovation, architecture, governance, and execution.
- Direct exposure to senior business and technology leadership.
- Opportunity to build and lead a dedicated Applied AI capability.
- Competitive leadership-level remuneration and benefits.
- A high-visibility role with the opportunity to deliver enterprise-scale AI transformation and measurable business impact.
More Info
Key Skills
Generative AI
LLMs
MLflow
AI architecture
Agentic AI
GenAI Ops
RAG
Responsible AI
AI governance
Vector databases
AI evaluation frameworks
AI safety guardrails
Microsoft 365 Copilot
Model management
