Data Warehousing Manager
3 months ago
Data Warehousing Manager
Prudential's purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
- This role will lead a team of data warehouse engineers in designing, building and maintaining our data warehouse. You will also be responsible for working with stakeholders to identify and prioritize data warehousing needs.
**Accountability**
(1) Deliver data quality of Data Warehouse team
(2) Build & develop capability of data warehouse team
(3) Deliver data service which act as a feasible, reliable, transparent data source for advanced analysis & AI/ML models purpose.
(4) Contribute & driven in enhance data security & data governance framework.
**Key Responsibilities**
**(1) Maintain and Enhance Data Quality**:
- Contribute, & enforce data quality standards and guidelines to ensure accurate, reliable, and robust data warehouse services.
**(2) Build, Deliver & Monitor Data Services**:
- Define data warehouse models, build and deliver reliability and efficiency data warehouse services, ensure adherence to quality standard, and optimize for analytics purpose.
**(3) Collaborate and Advise**:
- Monitor team's resource(budget, personnel, hardware, software,...), communicate & work with IT team, to ensure the stability of infrastructure for data science projects & data warehouse services.
- Work closely with data science, data analysis, and data delivery team to identify and prioritize data warehousing needs.
- Communicate quality standards to teams and provide training and support as necessary.
**(4) Documentation**:
- Ensure thorough documentation of data quality standards, procedures, and guidelines.
**(5) Continuous Development**:
- Involve in team's activity & strengthen team's engagement.
- Manage a team up to 4 members, provide guidance support in task delivery & skillset improvement.
- Identify & develop required skillset that best fit for company & personal career path.
**Demand & Productivity driver**
- 5 years or experience working in Data Engineer with 2 years at project lead level.
- Strong technical understanding & experience of data modeling, data warehousing architecture and ETL process.
- Strong programming skills (e.g., Python, SQL,...)
- Strong Technical understanding of Big Data technology and open source system.
- Experience in hands-on, planning, organizing, and managing resource in deliver data warehouse project.
- Strong understanding of data quality delivery(term, process, framework, tools,...).
- Well communicate skill with internal team and external client stakeholder.
- Experience with cloud computing platforms.
**Education**
- Bachelor's degree in Computer Science, Information Technology Engineer, or equivalent fields.
- Master's degree in Computer Science, Financial analysis business fields (e.g. MBA, Finance, Business Analytics, etc.) would be considered as a strong plus
**Key Stakeholders**
- Internal Data Platform team
- Regional Data Community of Practice
Job ID 24080509
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