AI / Automation / MI Specialist at Datonomy Solutions

About the position

The mandate of this role is to unlock the full value of this debt recovery platform by embedding AI-enabled automation and real-time reporting capabilities.

To transform the Debt Collection & Recovery reporting function from a reactive, spreadsheet-based monthly reporting model to a real-time, AI-driven self-service insight environment.

This role is not about maintaining reporting — it is about fundamentally redesigning how operational performance is measured, accessed, and used to drive recovery outcomes.

Key Focus Areas Within Debt Recovery Context

Collections Performance Automation

• Automate real-time tracking of:
• Recovery rates
• Roll rates
• Cure rates
• Promise-to-pay adherence
• Collector productivity


• Build dynamic dashboards for:
• Team leaders
• Operations managers
• Executive oversight

 Portfolio Intelligence

• Create AI-enabled segmentation views:
• Risk bands
• Delinquency buckets
• Legal vs pre-legal accounts


• Develop predictive insights around:
• Likelihood of recovery
• Optimal contact strategies
• Early intervention triggers

Self-Service Reporting

Move from:

• “Please send me last month’s pack”

To:

• “Click a few buttons and view live portfolio performance”

Enable:

• Drill-down from portfolio level ? team ? individual collector ? account
• Automated daily/weekly performance views
• Exception reporting
• Automated alerts for KPI deviations

Operational Workflow Optimisation

• Automate reporting tied to:
• Case allocation
• Call queues
• Settlement approvals
• Legal escalation


• Reduce manual reconciliations between operational teams and MI reporting.

 
Core Responsibilities 

AI & Automation

• Leverage Jonas Software’s debt collection modules to build automated reporting layers.
• Identify embedded AI features within the platform and optimise their usage.
• Design intelligent performance triggers (e.g., auto-flags for underperforming segments).
• Integrate reporting outputs into BI tools where required.

Data Architecture & Integration

• Map the data structures within the debt recovery system.
• Ensure correct data extraction from:
• Debtor master data
• Transaction logs
• Call activity records
• Payment histories


• Work with IT to enable API-driven or database-driven integrations.

Reporting Disruption

• Decommission redundant spreadsheet-based reporting.
• Standardise definitions for:
• Recovery rate
• Roll rate
• Cost-to-collect
• Net collections


• Embed governance around KPI ownership.

Change & Adoption

• Upskill operational managers to use real-time dashboards.
• Redefine management meeting structures around live reporting.

Reduce reporting preparation time across the function

The bank’s Debt Collection & Recovery function operates within a specialist vertical solution provided by Jonas Software. This platform is purpose-built for:

• End-to-end debt collection lifecycle management
• Case management and account tracking
• Payment arrangement monitoring
• Performance tracking of collectors and teams
• Recovery strategy optimisation
• Commission and incentive tracking
• Regulatory and compliance reporting
• Operational workflow management

While the system enables structured data capture and AI-driven capabilities, the business is still heavily reliant on:

• Manual Excel-based monthly MI packs
• Static reports
• Offline reconciliations
• Delayed performance insights

Required Experience

• Strong experience within:
• Banking collections
• Debt recovery operations
• Credit lifecycle environments


• Experience transforming operational reporting functions.
• Hands-on experience with collections systems (advantage).
• Proven automation of MI in high-volume operational environments.
• Experience shifting business users away from Excel dependency.

Desired Skills:

• AI Specialist
• Automation Specialist
• Management Information Specialist