The Role
Lead enterprise data architecture strategy, governance, and design. Define target architectures, approve designs, ensure quality and continuous improvement, advise senior management, and manage talent, budgets, and large teams to deliver data initiatives.
Summary Generated by Built In
ACG_3604_JOB
Our client is a leading bank in Vietnam who is looking for a qualified candidate to join their firm:
1. Data Architecture Strategy and Governance
- 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.
3. Quality Management, Operational Excellence, and Continuous Improvement
- 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.
Requirements
1. Educational Qualifications
- Bachelor’s 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.
Contact: Huong Do
Due to the immense number of applicants, only shortlisted candidates will be contacted.
Skills Required
- Bachelor's degree in Information Technology, Computer Science, Applied Mathematics, or related discipline
- Minimum 10 years' experience in data management, governance, architecture, reporting, analytics, or machine learning
- Proven experience designing and implementing enterprise data solutions and delivering data management/analytics programs
- Experience managing projects and teams of 20+ members, including budgets, costs, productivity, and delivery timelines
- Strong knowledge of modern data architecture models: Data Lake, Data Warehouse, Data Lakehouse
- Strong knowledge of data governance, data management, data integration, and database engineering
- Expertise in data modeling: 3NF, Dimensional Modeling, Data Vault, and NoSQL modeling
- Knowledge of database technologies such as SQL, NoSQL, Oracle, Hadoop
- Experience with data processing technologies and ETL/ELT frameworks and data engineering tools (Spark, Python, Scala)
- Hands-on experience in delivering data warehousing, data modeling, and/or data analytics projects
- Experience working with and managing technology vendors and partners
- Talent development, coaching, and capability building experience
- Strong communication and stakeholder engagement skills
- Data programming and data engineering capabilities
- Logical and critical thinking; strong analytical and problem-solving skills
- Time and work management, negotiation, influencing, decision-making skills
- Professional proficiency in English (listening, speaking, reading, writing)
- Strong planning, adaptability, change management, and leadership capabilities
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The Company
What We Do
Aloha Consulting Group (ACG) is a consulting firm specializing in digital transformation, technology, marketing, investment, and financial services. Its mission is to make finding rewarding jobs easier and to be a leading firm in Southeast Asia by leveraging human elements and technology.
