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Enterprise OperationsTechnologyData Governance & Quality

Data Quality Agent

Continuously monitors data quality and quarantines bad data before it spreads.

Profiles every feed, learns a per-feed baseline of 'normal', and detects schema drift, unit changes and null-rate spikes against it. It quarantines the bad batch before it reaches a risk model or regulatory report and notifies the feed owner with the diff and suspected root cause.

Authority

Act within policy

Team role

Monitors and escalates

Handoffs

Named collaborators

The role

What it owns and where its authority ends

Desk

Data Governance & Quality

Desk workflow

Ingest, then profile, then quality checks, then lineage capture, then catalog and certify. Bad batches are quarantined before they reach downstream models, reports and agents.

Collaboration

Coordinates parallel monitors or workers

Decision boundary

Acts only within an explicit policy, permission and escalation boundary.

Systems and capabilities involved

  • Data pipeline / warehouse API

    read batches, quarantine

  • Profiling + anomaly sandbox

  • Data-contract registry

  • Owner notification channel

Handoffs

What this role gives and receives

Capabilities offered

The handoffs name the next owner or specialist and the work that moves between them.

External handoff

Data owners in Markets and Risk for upstream fixes

Context

What the role needs to do the work

Current work
The current batch profile vs. the learned baseline.
Prior interactions
Prior quality incidents per feed and their root causes.
Policies and reference
Data contracts, expected schemas, business validation rules.
Working method
Not specified for this role.

Illustrative workflow

How the work moves

Starting point

Nightly market-data feed loads; one instrument's prices arrive 100x expected.

  1. 01

    Profile the batch; detect a 100x scale anomaly on a single symbol vs. baseline.

  2. 02

    Confirm it's a unit error (cents vs. dollars), not a real move, via cross-source check.

  3. 03

    Quarantine the affected rows before they hit the valuation model.

  4. 04

    Notify the feed owner with the diff and suspected root cause.

Result

Bad batch quarantined pre-ingestion; the risk model runs on clean data; the feed owner receives a root-caused alert with the diff.

Checks and boundaries

What must be tested or reviewed

  1. 01Quarantine actions are reversible and logged; false-quarantine rate tracked.
  2. 02Drift detection on the baseline itself: alert if 'normal' shifts too fast.
  3. 03Critical regulatory feeds (BCBS 239) require an oversight-agent gate to release after quarantine.

Human authority

Acts only within an explicit policy, permission and escalation boundary.

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