Business Analyst / Product Owner - Data Product - Digital Tranformation Project
Ngân Hàng TMCP Quốc Dân (Ncb)
28C-28D Bà Triệu, Phường Hàng Bài, Hà Nội
Hết hạn
Xóa tin
Chi tiết tuyển dụng
Mức lương:
Thỏa thuận
Khu vực:
Hà Nội
Chức vụ:
Nhân viên
Hình thức làm việc:
Toàn thời gian
Lĩnh vực:
Khác
Mô tả công việc
Job Summary:
The Business Analyst / Product Owner - Data Product will lead the development and execution of data product strategies that align with the bank's digital transformation initiatives. This role involves designing, building, and implementing data products and features to support various use cases, such as Loan Origination Systems (LOS), Customer Relationship Management (CRM), Anti-Money Laundering (AML), and Artificial Intelligence/Machine Learning (AI/ML) platforms. The candidate will collaborate with stakeholders, manage resources, and ensure the seamless integration and performance of data products across the bank's digital landscape.
Accountable and Responsibilities:
- Strategic Roadmap Development:
Develop a strategic roadmap for data product offerings aligned with the bank's digital transformation goals and customer target segments.
- Data Product Development:
Design, build, and implement data products and features to support digital transformation initiatives.
- Stakeholder Collaboration:
Collaborate with stakeholders and relevant units/departments to gather requirements and understand use cases for the development of data pipelines, data features, and analytics use cases.
Collaborate with stakeholders and relevant units/departments to integrate and deploy data products as part of go-to-market plans and initiatives.
- Business Requirements Documentation (BRD):
Develop comprehensive BRDs that capture business objectives, functional requirements, data sources, and expected outcomes for each use case related to data feeding for digital transformation use cases: LOS, CRM, AML, Internal Fraud, AIML.
- Resource Management:
Organize and manage resources effectively, including human resources and digital systems, to support the development and delivery of data products.
- Performance Monitoring and Evaluation:
Monitor and evaluate the performance and impact of data products and features, making adjustments as necessary to optimize results.
- User Experience Support:
Support relevant business units/departments in addressing user experience issues and resolving problems related to digital data features during implementation.
- Training and Development:
Responsibility for personnel training within the team, ensuring team members have the necessary skills and knowledge to execute their roles effectively.
The Business Analyst / Product Owner - Data Product will lead the development and execution of data product strategies that align with the bank's digital transformation initiatives. This role involves designing, building, and implementing data products and features to support various use cases, such as Loan Origination Systems (LOS), Customer Relationship Management (CRM), Anti-Money Laundering (AML), and Artificial Intelligence/Machine Learning (AI/ML) platforms. The candidate will collaborate with stakeholders, manage resources, and ensure the seamless integration and performance of data products across the bank's digital landscape.
Accountable and Responsibilities:
- Strategic Roadmap Development:
Develop a strategic roadmap for data product offerings aligned with the bank's digital transformation goals and customer target segments.
- Data Product Development:
Design, build, and implement data products and features to support digital transformation initiatives.
- Stakeholder Collaboration:
Collaborate with stakeholders and relevant units/departments to gather requirements and understand use cases for the development of data pipelines, data features, and analytics use cases.
Collaborate with stakeholders and relevant units/departments to integrate and deploy data products as part of go-to-market plans and initiatives.
- Business Requirements Documentation (BRD):
Develop comprehensive BRDs that capture business objectives, functional requirements, data sources, and expected outcomes for each use case related to data feeding for digital transformation use cases: LOS, CRM, AML, Internal Fraud, AIML.
- Resource Management:
Organize and manage resources effectively, including human resources and digital systems, to support the development and delivery of data products.
- Performance Monitoring and Evaluation:
Monitor and evaluate the performance and impact of data products and features, making adjustments as necessary to optimize results.
- User Experience Support:
Support relevant business units/departments in addressing user experience issues and resolving problems related to digital data features during implementation.
- Training and Development:
Responsibility for personnel training within the team, ensuring team members have the necessary skills and knowledge to execute their roles effectively.
Quyền lợi được hưởng
Nghỉ phép năm
,#Đào tạo chuyên sâu về nghiệp vụ và kỹ năng
,#Lộ trình thăng tiến rõ ràng. CBNV được tạo điều kiện phát triển thế mạnh cá nhân
,#Đào tạo chuyên sâu về nghiệp vụ và kỹ năng
,#Lộ trình thăng tiến rõ ràng. CBNV được tạo điều kiện phát triển thế mạnh cá nhân
Yêu cầu kỹ năng
Business Analysis, Data Management, Product Development, Data Architecture, Data Pipeline
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