Johannesburg North: Head of Home Loans Collections posted by Network Finance

• Lead the enterprise data and analytics strategy, aligning it with business priorities to deliver measurable impact.
• Champion data governance and quality, ensuring adherence to regulatory and ethical standards.
• Define and implement data management frameworks, including architecture, lineage, metadata, and master data management.
• Partner with IT to build and maintain data pipelines and infrastructure for scalable analytics execution.
• Oversee analytics use cases across functions such as Finance, Risk, HR, Compliance, and Actuarial.
• Drive a data-driven culture, embedding consistent practices across all business units.
• Lead and mentor a high-performing team, fostering collaboration and accountability.

Job Experience and Skills Required

• Bachelor’s degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or a related field (Master’s preferred).
• Minimum 8 years’ experience in data, analytics, or technology roles within banking, telecommunications, or insurance.
• At least 3 years in a leadership capacity with proven success in enterprise data initiatives.
• Strong expertise in Azure Synapse, SQL, and data integration, metadata, and master data management platforms.
• Deep understanding of data governance and compliance within South African regulatory frameworks.
• Demonstrated success translating business strategy into actionable data-driven solutions.

What’s in it for You

• Hybrid working model offering flexibility and autonomy.
• Opportunity to lead a high-impact data transformation within a respected organisation.
• Competitive package with executive-level exposure and career growth.
• Work alongside top industry leaders driving innovation in data and analytics.

Apply now!
For more exciting Finance and Actuarial vacancies, visit:
www.********.co.za
I also specialise in recruiting for:
– Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
– Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
– Risk Analysts (Credit, Market, Model Risk, Operational)
– Pricing Specialists (Insurance, Financial Products)
– Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
– Quantitative Specialists across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for any other suitable roles.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
Connect with me on LinkedIn: www.********.co.za