Manager, Data & Analytic Unit

This role is to enforce absolute data integrity ensuring every reported figure is traceable, verified, and correct while building and leading the expert team to sustain it.

Deadline
November 30, 2026
Location
Phnom Penh
Experience
Minimum 5 years
Work Level
-
Employment
-
Positions
-

This role is to enforce absolute data integrity ensuring every reported figure is traceable, verified, and correct while building and leading the expert team to sustain it.

Main Duties

  • Own the report register: every report the division produces, its consumer, its frequency, its cost in hours,
  • and the single agreed source for each figure.
  • Design and agree the data access model with Risk and Compliance: a masked, read-only reporting layer; access granted per role, logged and reviewable. This is the first deliverable, because the function cannot operate without it and today nobody is empowered to say yes.
  • Own the measurement layer for the transformation — workload, exception volumes, automation effect — and defend those figures when they are challenged.
  • Own the development plan for the internal engineer and the analysts. Knowledge transfer milestones are part of this role’s objectives, not an aspiration.
  • Consolidate regulatory reporting production progressively, in agreement with Finance 

Skill/Requirements

  • 5+ years in banking data, reporting or analytics, of which at least 2 owning a reporting or data team’s output having produced the figures personally, not only supervised them.
  • Strong SQL on Oracle or SQL Server: be able to write and review production queries without assistance.
  • Proven experience introducing BI or reporting capability where none existed, on-premise, and specifically detailing what failed technically or culturally during the initial rollout, and how you adapted.
  • Understands regulatory reporting in a supervised institution — any regulator; NBC specifics can be learned.
  • Be able to tell a senior stakeholder that a published figure is wrong, and hold the position.
  • Working Python and ML literacy: be able to review a model’s logic, challenge its output, and own the register of models in production — what each one decides, on what data, and when it was last validated.
  • Desirable: experience running JasperReports Server or a comparable on-premise reporting platform.
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