Sandton: AI & Automation Specialist – Debt Collections posted by Datonomy Solutions (Pty) Ltd

March 12, 2026 Jobs in Gauteng

Datonomy Solutions (Pty) Ltd

Gauteng

Education/Training

Job Description

We are seeking an AI, Machine Learning, Automation, Debt Collections, Recoveries, Decisioning Systems, Debt Manager, Jonas Software, Predictive Modelling, Financial Services, Data Engineering, SQL, Python, Java, .NET, Dataverse, Dynamics 365, DevOps, CI/CD, Docker, Kubernetes, Cloud, Real-Time Reporting, Analytics Automation.AI & Automation Specialist to drive the transformation of its debt collections and recoveries capabilities through intelligent automation and AI-driven decisioning.

The bank has recently implemented a modern debt collections and recovery platform and is looking for a specialist who can help unlock its full potential.

The successful candidate will be responsible for disrupting traditional spreadsheet-driven reporting processes and introducing AI-enabled automation, predictive insights, and real-time decisioning capabilities.

The goal is to move the business toward a self-service, real-time collections intelligence environment, where operational insights and recovery strategies can be accessed instantly.

About the Platform

The role will support our Debt Collections & Recoveries ecosystem.

The Debt Manager software is a specialised financial services platform designed to manage the full debt recovery lifecycle, including:

collections workflow management
automated account prioritisation
debtor segmentation
repayment strategy optimisation
recovery performance reporting

The platform enables financial institutions to optimise collections strategies, reduce non-performing loans, and improve recovery outcomes through automation and data-driven decisioning.

Key Responsibilities

AI & Automation

Design and implement AI-driven solutions that automate collections decisioning and reporting processes.
Develop predictive models to support collections prioritisation, debtor segmentation, and repayment forecasting.
Implement automation solutions that reduce reliance on manual reporting and spreadsheet-based processes.

Platform Optimisation

Work closely with business stakeholders to maximise the capabilities of the Debt Manager collections platform.
Design integrations between the collections platform and other enterprise systems.
Enhance platform usage through automation, APIs, and intelligent workflows.

Real-Time Insights & Reporting

Transform legacy reporting processes into real-time self-service analytics solutions.
Develop automated dashboards and reporting frameworks.
Enable business users to access operational insights at the click of a button.

Data & Integration

Design data models and integration pipelines to support AI-driven collections strategies.
Work with enterprise data environments such as Dataverse / Dynamics 365 and other banking data platforms.
Ensure data quality, governance, and security standards are maintained.

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Technology & Engineering

Develop backend services and automation tools using technologies such as Java or .NET.
Build and maintain CI/CD pipelines and modern DevOps practices.
Support containerised deployments using Docker / Kubernetes where applicable.

Required Skills & Experience

AI / Machine Learning

Experience designing and implementing AI or machine learning solutions in enterprise environments.
Experience with predictive modelling, decisioning engines, or automation systems.

Financial Services / Collections

Experience working within financial services, debt collections, credit risk, or recoveries environments.
Exposure to collections platforms such as Debt Manager, FICO, or similar systems is advantageous.

Data & Analytics

Strong data modelling and querying capabilities using SQL / NoSQL databases.
Experience designing automated reporting and analytics frameworks.

Technology Stack

Experience with some of the following:

Java / .NET
Python
SQL / NoSQL databases
Dataverse / Dynamics 365
API integrations
CI/CD pipelines
Docker / Kubernetes
Cloud environments (AWS / Azure / GCP)

Ideal Candidate Profile

The ideal candidate is a technically strong AI practitioner or automation engineer who enjoys solving complex operational problems through technology.

They will be comfortable working across AI, data, engineering, and business transformation, and will have a passion for modernising legacy processes through intelligent automation.

How to Apply

Click the green “Go Apply” button below to apply directly online with the employer.

About Education/Training Jobs in Gauteng

In Gauteng, South Africa, the education and training sector is a vibrant industry that offers various opportunities for professionals looking to make a meaningful impact. Typically, job seekers in this field can expect to find roles in schools, universities, vocational training institutions, and corporate training departments. Generally, these roles involve designing, delivering, and evaluating educational programs and services.

When it comes to salaries, education and training professionals in Gauteng typically earn broad ranges that vary depending on factors like experience, company size, and industry sector. Broadly speaking, salaries can range from R400 000 to R800 000 per annum for entry-level positions, with more senior roles potentially commanding higher salaries up to R1,5 million or more. However, it’s essential to note that actual salaries can differ significantly depending on the specific employer, location, and industry.

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Common skills required for education and training professionals in Gauteng include communication and interpersonal skills, the ability to design and deliver engaging educational content, technical expertise in areas like instructional design, learning management systems, or educational technology. Other essential skills often include project management, coaching, and adult learning principles. Proficiency in English, Afrikaans, or other official languages is also highly valued, depending on the specific role.

The education and training sector is a diverse field that employs professionals across various industries, including financial services, technology, manufacturing, healthcare, and more. In Gauteng, these roles are often found in corporate training departments, schools, universities, vocational training institutions, and government agencies. The financial services sector, for instance, frequently requires educators to develop training programs for employees, while the technology industry may hire trainers to educate staff on new software or systems.

For those interested in pursuing a career in education and training, there are numerous opportunities for development and advancement. Typically, professionals in this field can move into leadership roles, such as program managers, department heads, or even directors of training. Others may opt for specialized fields like instructional design, educational technology, or learning and development. With experience, it’s common for educators to transition into roles that leverage their expertise in adult learning principles, coaching, or mentoring.

This information provides general career guidance. Actual salaries and requirements vary by employer.

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