Head of Data Architect
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Experience Required:
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Job Summary
- Accountable for defining action plans related to Data Architecture and associated strategic initiatives.
- Accountable for establishing governance frameworks operating procedures and supporting documentation for Data Architecture activities including the Data Architecture Board (DAB) / Design Approval Board.
2. Enterprise Data Architecture Design and Delivery
- Accountable for defining and proposing the target Enterprise Data Architecture for VPBank at the conceptual design level.
- Accountable for designing target data architecture solutions for specific Change Requests (CRs) and projects at the logical and physical design levels.
- Collaborate with teams within the Enterprise Data Architecture function and relevant stakeholders to deliver data-related initiatives projects and change requests.
- Provide strategic advisory to senior management on emerging data technologies and recommend suitable solutions for VPBank.
- Ultimately accountable for establishing quality assurance and control mechanisms as well as overseeing and approving work execution outcomes.
- Ultimately accountable for measuring team performance and continuously improving processes productivity and operational efficiency.
4. Talent and Team Management
- Ultimately accountable for talent and team management within Enterprise Architecture.
- Ultimately accountable for talent and team management within Data Architecture.
- Ultimately accountable for talent and team management in other architecture-related disciplines as assigned.
5. Additional Responsibilities
- Lead and deliver special projects and strategic initiatives assigned by senior management.
1. Educational Qualifications
- Bachelors degree or above in Information Technology Computer Science Applied Mathematics or other related disciplines.
2. Relevant Knowledge / Expertise
- Strong knowledge of modern data architecture models including Data Lake Data Warehouse and Data Lakehouse.
- Strong knowledge of data governance data management data integration and database engineering.
- Strong expertise in data modeling including 3NF Modeling Dimensional Modeling Data Vault Modeling and NoSQL Modeling.
- Strong knowledge of database technologies such as SQL NoSQL Oracle Hadoop and other related platforms.
- Strong knowledge of data processing technologies including ETL/ELT frameworks and data engineering languages/tools such as Spark Python and Scala.
3. Skills
- Logical and critical thinking.
- Strong communication and stakeholder engagement skills.
- Data programming and data engineering capabilities.
- Teamwork and collaboration skills.
- Time and work management skills.
- Strong analytical and problem-solving skills.
- Negotiation influencing and decision-making skills.
4. Relevant Experience
- Minimum 10 years of experience in data management data governance data architecture reporting analytics or machine learning.
- Proven experience in designing and implementing enterprise data solutions.
- Hands-on experience in delivering data management and analytics programs.
- Experience in data warehousing data modeling and/or data analytics.
- Experience managing projects and teams of 20 members.
- Experience managing budgets costs productivity and delivery timelines.
- Strong capability in solving complex business and technology problems while maximizing organizational value.
- Experience working with and managing technology vendors and partners.
- Experience in talent development coaching and capability building.
- Proven track record in process and system improvement initiatives.
5. Required Competencies
- Professional proficiency in English including listening speaking reading and writing.
- Strong learning agility with the ability to research adopt and apply emerging technologies.
- Strong planning adaptability change management and leadership capabilities.
Required Skills:
Education Bachelors degree or higher. Experience Minimum 3 years of experience in debt collection. At least 3 years of management experience. Professional Knowledge Strong understanding of Vietnamese legal regulations related to debt collection. Good knowledge of financial/credit products. Solid expertise in debt collection operations and processes. Core Competencies Customer Analysis: Ability to gather and analyze customer information to assess financial capability repayment capacity and behavior. Legal Knowledge: Strong ability to interpret and apply legal regulations in debt collection practices. Collection Process Expertise: Deep understanding of collection workflows and ability to improve processes and tools. Communication Skills: Strong presentation and influencing skills including handling complex discussions confidently. Negotiation & Influence: Ability to negotiate effectively and influence stakeholders using data and business insights. Problem-Solving: Strong analytical mindset with the ability to resolve complex issues systematically. Leadership Competencies Strategic thinking Change and innovation mindset Team collaboration Talent development Results-oriented mindset Personal Attributes Integrity and humility Resilience adaptability and emotional control High commitment and ability to work under pressure Strong persuasion and progressive mindset Contact: Huong Do Due to the immense number of applications only shortlisted candidates will be contacted.
