Data Governance and Data Management

The Data Governance and Data Management acts under delegated authority from the Data Domain Lead to drive the execution and day-to-day implementation of enterprise data policies, standards, and data management practices within their respective business or support unit.

Responsibilities

• Operational Execution: Implementing data governance, data quality controls, and metadata standards on a day-to-day basis.
• Assisting in identifying, monitoring, and mitigating data risks (such as data quality, usage, and security risks) across the data lifecycle .
• Partnering with Unit Data Officers (UDOs) and data teams to facilitate data adoption, ingestion, and platform transitions (e.g., ADA and cloud migrations).
• Serving as the local focal point for data-related queries and helping bridge the gap between centralized data policies and local team execution.
• Why This Role is Required As DBS treats data as a strategic asset, effective governance is essential to prevent operational errors, regulatory breaches, and poor analytics outcomes.
• The Data Champion role is needed to: Bridge Strategy and Execution: While senior leaders set high-level data strategies, Data Champions provide the hands-on operational drive required to ensure policies are successfully implemented on the ground.
• Active management at the unit level helps prevent data quality degradation, improper data classification, and compliance vulnerabilities.
• With heavy reliance on data platforms, analytics, and cloud environments, local champions ensure that data hygiene, lineage, and cataloging are maintained to support fast, reliable business decisions.

Location

Jakarta Head Office Job: Data & AI Governance Schedule: Regular Employee Status: Full time