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.

Key responsibilities include:

- Operational Execution: Implementing data governance, data quality controls, and metadata standards on a day-to-day basis.

- Risk & Compliance Management: Assisting in identifying, monitoring, and mitigating data risks (such as data quality, usage, and security risks) across the data lifecycle .

- Collaboration & Support: Partnering with Unit Data Officers (UDOs) and data teams to facilitate data adoption, ingestion, and platform transitions (e.g., ADA and cloud migrations).

- Advisory & Escalation: 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.

- Mitigate Data Risks Early: Active management at the unit level helps prevent data quality degradation, improper data classification, and compliance vulnerabilities.

- Support Digital & AI Scale: 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