Chức danh công việc: Group Chief Data Scientist/Group Head of AI Factory
Strategic Leadership
- Define and implement the enterprise-wide data science and AI strategy aligned with business priorities.
- Advise C-level executives on opportunities to leverage data for business growth, risk mitigation, and operational efficiency.
Model Development & Innovation
- To executive high-value AI/ML initiatives across the organization.
- Lead the design, development, validation, and deployment of predictive models (e.g., credit scoring, fraud detection, risk forecasting, customer segmentation, personalized marketing).
- Oversee the governance and lifecycle management of all models to ensure accuracy, compliance, and sustainability
Data & Technology Architecture
- Collaborate with IT and Data Engineering to build scalable data platforms, pipelines, and AI/ML infrastructure (cloud, real-time analytics, data lakes).
- Ensure data quality, integrity, and accessibility across the enterprise.
Governance & Compliance
- Establish ethical AI practices and ensure compliance with data privacy, regulatory, and security requirements.
Business partnership
- Partner with business units to identify use cases and deliver measurable business impact.
- Translate complex analytical insights into clear, actionable recommendations for stakeholders.
People Management
- Implement the necessary leadership and management to enable direct and indirect subordinates to achieve the goals of the AI Factory.
- Head-count planning, human resource allocation. Work in collaboration with HR to develop recruitment, training, succession planning, career development roadmap, recognition employees, performance management for employees in the Department
Corporate Culture
- Act as a role model in building corporate culture. Ensure the correct and full implementation of corporate culture implementation plans;
- Employees understand and apply consistently corporate cultural values, behavioral standards of VPBank
Trình độ đào tạo/Educational Qualifications
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field.
Kiến thức/ Chuyên môn /kinh nghiệm liên Quan/Relevant Knowledge/ Expertise
- 10+ years of experience in data science or advanced analytics, including at least 5 years in a leadership role.
- Proven track record of building and deploying 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.
Các Kỹ Năng, Năng lực /Skills and Competencies
- Proficiency in programming languages (Python, R, SQL) and experience with distributed computing (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Strong leadership, stakeholder management, and communication skills, with the ability to influence at the executive level.
