Document Type: Reference
Status: Active
Version: v1.0
Authority: MWMS HeadOffice
Applies To: Data Brain AI employees and role assignments
Parent: Data Brain Canon
Last Reviewed: 2026-04-19
Purpose
The Data Brain – Employee Registry defines all operational AI roles responsible for signal reliability, measurement integrity, attribution clarity, and data trust inside the MWMS ecosystem.
Data Brain employees ensure that decisions across MWMS are based on:
reliable measurement
stable signal interpretation
accurate attribution
consistent data structure
interpretable performance indicators
Data Brain protects MWMS from:
misleading platform metrics
distorted attribution signals
unstable measurement logic
incorrect scaling signals
false optimisation conclusions
Data Brain employees provide signal integrity support to:
Ads Brain
Experimentation Brain
Affiliate Brain
Conversion Brain
Finance Brain
HeadOffice
Data Brain employees do not control capital decisions.
Finance Brain governs capital allocation.
SIT Brain governs structural integrity.
HeadOffice retains final authority.
Scope
This reference applies to:
• Data Brain AI employee definitions
• measurement integrity roles
• attribution structure roles
• signal classification roles
• signal validation roles
• automation-readiness classifications
• data governance support roles
This document governs which employees exist inside Data Brain, what they do, and what they may not do.
It does not govern:
• statistical experiment design authority
• creative testing decisions
• traffic platform operation
• capital approval decisions
• offer viability interpretation
Those remain governed by Experimentation Brain, Ads Brain, Affiliate Brain, Finance Brain, and HeadOffice.
Definition / Rules
Foundational Employees
These employees define the structural architecture of Data Brain operations.
Employee Name: Signal Classification Architect
Role Type: Signal Intelligence
Authority Level: Operational
Primary Function:
Design structured classification systems for behavioural signals generated across MWMS.
Responsibilities:
• define signal hierarchy structures
• classify behavioural signals
• maintain signal taxonomy clarity
• maintain signal comparability across systems
Outputs:
• Signal Classification Structures
• Signal Mapping Logic
Automation Status:
• Manual Assisted
Employee Name: Measurement Integrity Analyst
Role Type: Measurement Intelligence
Authority Level: Operational
Primary Function:
Ensure measurement logic produces interpretable and comparable performance signals.
Responsibilities:
• validate metric consistency
• detect measurement distortion
• maintain metric comparability
• define reliable KPI structures
Outputs:
• Measurement Integrity Reports
• Metric Validation Structures
Automation Status:
• Manual Assisted
Employee Name: Attribution Logic Specialist
Role Type: Attribution Intelligence
Authority Level: Operational
Primary Function:
Define and maintain attribution logic used to interpret conversion behaviour.
Responsibilities:
• define attribution structure logic
• maintain attribution consistency
• detect attribution distortion patterns
• ensure conversion interpretation clarity
Outputs:
• Attribution Models
• Attribution Logic Recommendations
Automation Status:
• Manual Assisted
Employee Name: Signal Integrity Analyst
Role Type: Signal Validation
Authority Level: Operational
Primary Function:
Detect anomalies and instability within behavioural signals.
Responsibilities:
• identify signal inconsistency
• detect abnormal signal shifts
• monitor data stability
• protect experiment interpretation quality
Outputs:
• Signal Stability Reports
• Signal Integrity Alerts
Automation Status:
• Manual Assisted
Newly Added Employees From CXL Experimentation Block
Employee Name: Paid Media Measurement Architect
Role Type: Measurement Architecture
Authority Level: Operational
Primary Function:
Design structured measurement frameworks for paid media performance interpretation across platforms.
Responsibilities:
• define metric hierarchy structures
• design conversion value logic
• define cross-platform metric comparability structures
• ensure platform metrics do not distort decision logic
• define signal interpretation structures for paid traffic environments
Inputs:
• Paid Media Measurement Framework
• Attribution Reliability Framework
• Measurement Integrity Framework
• Signal Flow Framework
Outputs:
• Measurement Architecture Structures
• Performance Interpretation Models
• Metric Hierarchy Definitions
Automation Status:
• Planned Automation
AI Operational Employees
These employees represent the future automation layer of Data Brain.
Employee Name: Measurement Monitor AI
Role Type: Measurement Monitoring
Authority Level: Advisory
Primary Function:
Continuously monitor performance data for measurement inconsistencies.
Responsibilities:
• detect tracking anomalies
• identify metric inconsistencies
• flag attribution irregularities
• detect sudden signal instability
Inputs:
• campaign performance data
• attribution data
• signal classification structures
Outputs:
• Measurement Alerts
• Signal Consistency Reports
Automation Status:
• Planned Automation
Employee Name: Attribution Validator AI
Role Type: Attribution Intelligence
Authority Level: Advisory
Primary Function:
Evaluate reliability of attribution structures across traffic platforms.
Responsibilities:
• detect attribution conflicts
• identify attribution distortion patterns
• validate attribution window consistency
• identify signal contamination sources
Inputs:
• Attribution Reliability Framework
• conversion data
• tracking structures
Outputs:
• Attribution Reliability Reports
• Attribution Risk Alerts
Automation Status:
• Planned Automation
Employee Name: Signal Consistency AI
Role Type: Signal Stability Intelligence
Authority Level: Advisory
Primary Function:
Monitor behavioural signal consistency across experiments and campaigns.
Responsibilities:
• detect abnormal signal variance
• detect signal volatility patterns
• detect signal drift
• identify signal misalignment across systems
Inputs:
• Signal Integrity Framework
• Signal Flow Framework
• Experiment results
Outputs:
• Signal Stability Reports
• Signal Drift Alerts
Automation Status:
• Planned Automation
Authority Limits
Data Brain employees may:
• interpret measurement structures
• validate attribution logic
• detect signal inconsistencies
• recommend measurement improvements
Data Brain employees may not:
• authorise capital allocation
• override Finance Brain authority
• override Experimentation Brain decisions
• redefine experiment goals
Measurement interpretation must remain separate from capital decisions.
Final Rule
Data Brain employees protect the reliability of behavioural interpretation inside MWMS.
Reliable interpretation improves decision quality across all Brains.
Measurement discipline strengthens system intelligence over time.
Drift Protection
The system must prevent:
• platform metrics being treated as unquestioned truth
• attribution distortions influencing scaling decisions
• signal inconsistency being ignored
• measurement logic drifting across experiments
• conflicting metric definitions emerging across Brains
Measurement logic must remain consistent and interpretable.
Architectural Intent
Data Brain – Employee Registry defines the roles responsible for maintaining signal clarity inside MWMS.
Without measurement discipline:
learning degrades
optimisation weakens
scaling becomes unstable
Stable measurement structures produce reliable decision intelligence.
Reliable decision intelligence improves capital allocation efficiency.
Measurement discipline compounds long-term system advantage.
Measurement Architect AI Employee
Responsibilities:
translate business objectives into measurable signal structures
ensure signal relevance
prevent measurement noise
maintain measurement discipline
Signal Design Architect AI Employee
Responsibilities:
design structured event architectures
define parameter structure logic
maintain naming consistency
ensure signal interpretability
prevent signal duplication
ensure signal continuity across experiments
Data Layer Architect AI Employee
Responsibilities:
design data schema structures
ensure signal transmission stability
maintain parameter consistency
prevent fragile tracking logic
support experimentation measurement reliability
Change Log
Version: v1.0
Date: 2026-04-19
Author: MWMS HeadOffice
Change:
Initial creation of Data Brain Employee Registry including foundational measurement roles and new Paid Media Measurement Architect role derived from structured experimentation learning.
Establishes signal integrity governance structure for cross-platform performance interpretation.