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Senior Manager, Data Architecture

Category:  Data and Analytics Division
Job Type: 
Facility:  Data & Analytics


- The job holder develops, implements and manages enterprise business and technical metadata, including data dictionaries, data lineage and all associated metadata initiatives.

Key accountabilities (1)

A. Metadata Management
Delivers a modern architecture capable of advancing the overall analytic performance and data-driven strategy of the bank
Manage and approve list of Critical Data Elements (CDEs) including providing domains with guidelines and support for prioritizing CDEs.
- Establish, monitor and enforce business processes and standards for data, metadata management and compliance.
Provide template for structuring business data and its metadata (e.g.,business definitions, security/access levels, data quality rules) and technical data and its metadata (e.g., technical / physical data elements, data lineage).
- Approve changes to data flows and manage the architecture delivering insights and access.
- Approve changes to metadata and manage new demand for metadata.
- Approve business definitions and data lineage developed by domains.
- Define standards for business and technical data and its metadata and ensure compliance.
- Develop, implement and manage an enterprise-wide data and data dictionary.
- Support selection and implementation of tools for data, data-lineage and metadata.
- Aggregate domain data dictionaries, lineage and data flows into a unified enterprise data platform inclusive of data, lineage, metadata, catalog.
B. Projects Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
C. Stakeholders Management
- Manage strategic relationships with other tribes and squads, ensuring that overall business objectives are being achieved through the translation of strategic plans into operational plans and guiding the execution of said plans.
D. Talent Development
- Ensure resource and capability sufficiency and quality to deliver on the Data và Analytics Tribe strategy.
- Coach and mentor employees on functional knowledge and skills to perform effectively within the Tribe.
- Coach and mentor employees on stakeholder engagement develop strong business knowledge and partnerships.

Success Profile - Qualification and Experiences

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, Statistic, Data Science or other related technical disciplines
12 to 15 years of relevant experience in IT, with industry knowledge including 5 years of managerial experience
English proficiency requirements are pursuant to Techcombanks policy
Very strong familiarity with (business and technical) big-data and its metadata related issues and processes
Proven track record of delivering scalable, resource intensive, integrated and operational analytical solution; experience creating point of views, roadmaps, and process diagrams
Hands-on experience working with open-source big-data/data-lake like Hadoop, Spark, Kafka, SQL/NoSQL K-V/Columnar/Graph, ESB and analytical technologies like R/Python, TensorFlow and/or BI tools like Tableau/Power BI; Cloud analytics platform experience preferred
Proven track-record in leading company-wide digital transformation initiatives and change management
Mastery in Data và Analytics and is an industry expert on the latest data-related technology trends

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