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Hướng dẫn ứng tuyển
Bước 1: Điền vào Mẫu thông tin ứng viên LOTTE Finance, tải mẫu tại đây,
Bước 2: Chọn nút "Nộp đơn" bên trên và làm theo hướng dẫn.
Bước 3: Sau khi hoàn tất bước ứng tuyển, nếu đã ứng tuyển thành công, Bạn sẽ nhận được Thư xác nhận ứng tuyển thành công từ LOTTE Finance. Vui lòng đọc email để nắm các thông tin hướng dẫn tuyển dụng tại LOTTE Finance.
Chúc Bạn Sức khỏe và Thành công.
1. Data, Analytics & AI Strategy
- Define and drive the enterprise-wide Data Analytics & AI strategy aligned with overall business objectives.
- Promote and embed a data-driven culture across all levels of the organization.
- Identify and prioritize opportunities to apply Advanced Analytics and AI to generate business value, operational efficiency, and competitive advantage.
- Oversee the design, implementation, and governance of enterprise data platforms, including data lakes, data warehouses, and analytics tools.
2. Data Platform & Analytics Enablement
- Lead the development of dashboards, management reporting, and self-service analytics capabilities.
- Ensure data quality, integrity, and compliance with applicable regulations (e.g., GDPR, local banking and financial regulations).
3. AI/ML & Advanced Analytics
- Lead the research, development, and deployment of machine learning models, natural language processing, computer vision, and other AI techniques.
- Partner with business functions (e.g., Risk, Credit Scoring, Customer Engagement, Fraud Detection, Operations) to design and implement AI-driven use cases.
- Build and scale MLOps capabilities to ensure robust model lifecycle management, monitoring, and continuous improvement.
4. People, Stakeholder & Vendor Management
- Lead, mentor, and develop high-performing teams of Data Scientists, Data Engineers, and Analysts.
- Collaborate closely with the CIO and senior business leaders to translate business challenges into scalable Data & AI solutions.
- Manage vendor relationships and evaluate emerging technologies, tools, and strategic partnerships.
5. Governance, Risk & Compliance
- Establish and maintain data governance and AI governance frameworks, ensuring ethical and responsible AI practices.
- Ensure compliance with data security, privacy, and data usage regulations.
- Identify and manage risks related to AI adoption, including model bias, explainability, and accountability.
6. Other tasks as assigned by the manager.
1. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field; PhD is preferred.
2. Experience:
- Minimum 8 years of experience in data, analytics, or AI roles, with at least 5 years in leadership or management positions.
- Proven experience leading AI/ML initiatives in a business environment, preferably within financial services, fintech, or consumer-focused industries.
- Demonstrated track record of delivering measurable business impact through analytics- and AI-driven solutions.
3. Skills & Professional Competencies:
- Strong expertise in big data platforms, cloud technologies (AWS, Azure, GCP), and modern data architectures.
- In-depth knowledge of data governance, AI ethics, and regulatory compliance requirements.
- Excellent leadership, stakeholder management, and communication skills.
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Ha Noi, Ho Chi Minh
Salary: Competitive
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Ha Noi
Salary: Negotiable
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Ha Noi
Salary: Negotiable
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Ha Noi
Salary: Negotiable
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Ha Noi, Ho Chi Minh
Salary: Negotiable
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Ha Noi
Salary: Negotiable