Head of AI Factory

Develop and execute enterprise-wide data science and AI strategy that aligns with business priorities.

Provide guidance to C-level executives on leveraging data for business growth, risk mitigation, and operational efficiency.

Promote the use of AI best practices among subsidiary companies.

Lead the development of Predictive AI, including data and feature engineering, and model lifecycle management.

Spearhead Generative AI initiatives, such as prompt frameworks, knowledge integration, and safety protocols.

Assess and implement model solutions based on business, cost, risk, and performance considerations.

Manage MLOps & LLMOps pipelines to ensure scalable deployment and automation for predictive and generative models.

Create reusable AI assets and platforms, such as feature stores, model registries, and inference APIs.

Work with IT and Data Architecture teams to create scalable data platforms, pipelines, and AI/ML infrastructure for both ML & GenAI, supporting both batch and real-time flow.

Drive experimentation and research to keep up with practical emerging AI technologies.

Establish ethical AI practices and ensure compliance with data privacy, regulatory, and security requirements.

Collaborate with business units to advise on the application of AI/GenAI for business.

Work with business and product owners to define problem statements, estimate value, build ROI models, and measure post-deployment outcomes.

Provide leadership and management to enable subordinates to achieve AI Factory goals.

Plan and allocate human resources and work with HR on recruitment, training, career development, and performance management.

Develop talent and organizational capability in AI/GenAI, providing coaching and leadership to team members.

Serve as a role model in building corporate culture and ensure consistent implementation of corporate cultural values.

A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field is required.

10+ years of experience in data science or advanced analytics, with a minimum of 5 years in a leadership role.

A proven track record of developing and implementing machine learning and AI models in large-scale production environments.

Expertise in statistical modeling, machine learning, deep learning, natural language processing, and big data technologies is essential.

Proficiency in programming languages such as Python, R, and SQL, as well as experience with distributed computing (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is preferred.

Strong leadership, stakeholder management, and communication skills are necessary, with demonstrated ability to influence at the executive level.

Salary and bonus are performance-based

Holiday and Tet bonuses are provided according to the bank's policy

Eligible for preferential loan policies subject to the bank's regulations

Annual leave entitlements depend on job level

Mandatory insurance under labor law with an option for premium insurance for employees and their family members

Access to training programs tailored to each position's training framework

Dynamic and friendly working environment with abundant opportunities for learning and development, participation in cultural activities such as sports competitions, talent contests, and teambuilding events

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666