.NET Engineering Manager

Manager, Technical Development Advisory

Ho Chi Minh - Viet Nam

Product

Collaborate with subject matter experts to develop technical learning solutions that address identified skill gaps and support NAB's capability development. Oversee the administration, configuration, and optimisation of learning management systems and related platforms to ensure effective content delivery and learner experience. Lead end-to-end program management for training initiatives, including needs analysis, design, development, delivery coordination, and evaluation. Collaborate with the Head of Technical Development Advisory and senior stakeholders to align learning initiatives with strategic priorities and transformation objectives. Implement and monitor quality assurance processes to maintain high standards across all learning content and delivery. Develop and report on key performance metrics, learning analytics, and program effectiveness to drive continuous improvement. Coordinate with regional and global teams to ensure consistent learning experiences across multiple locations.

Negotiation

Senior IT Product Manager (Business Workflow Platform)

Ho Chi Minh - Viet Nam

Outsource

• Product Management

Product Strategy & LeadershipDefine and drive product vision, roadmap, and strategic direction for enterprise workflow platforms Lead prioritization and investment decisions balancing business value, scalability, risk, and operational efficiency Drive continuous improvement, innovation, and AI-native product transformation initiatives Monitor market trends, emerging technologies, and enterprise workflow best practicesPlatform Modernization & Product DeliveryLead migration and modernization initiatives from legacy platforms to next-generation workflow solutions Collaborate with Product, Engineering, UX, and Architecture teams to deliver scalable enterprise capabilities Ensure high-quality product delivery through Agile product management and execution practices Drive operational excellence, standardization, and platform optimizationService Management & Operational GovernanceEnsure service reliability, platform performance, SLA alignment, and operational stability Implement data-driven monitoring, analytics, and KPI tracking to support decision-making Support governance, security, compliance, and risk management activities Collaborate with stakeholders to ensure smooth adoption and change managementTechnical & Stakeholder ManagementTranslate business needs into clear and scalable technical and product requirements Provide leadership on software architecture, cloud technologies, workflow platforms, and AI-driven capabilities Manage communication, alignment, and engagement across global business and technology stakeholders Collaborate with strategic vendors and technology partners to ensure long-term product and service qualityAgile Leadership & Team EnablementPromote Agile mindset, collaboration, and iterative product delivery practices Empower cross-functional teams to deliver value, improve continuously, and operate effectively Mentor teams and contribute to product management and operational best practices

Negotiation

Data and Insights Manager

Ho Chi Minh - Viet Nam

Product

• Data Analyst
• Business Intelligence
• Data Science
• Machine Learning

Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.

Negotiation