HEAD: INSIGHTS & CLIENT ENABLEMENT

Network Finance; Randburg; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Network Finance is seeking an executive leader to drive insights, analytics, and client enablement across the organisation. The role focuses on AI-driven predictive analytics, business intelligence, and high-impact executive reporting.

You will develop client scorecards and performance frameworks, oversee quality assurance and workforce optimisation, and build strong relationships with C-suite stakeholders and key clients to translate data into strategic recommendations.

Qualifications

• Bachelor's degree in relevant field.
• 8+ years' experience in Collections Strategy, BI, or Operational Analytics.
• 3+ years in senior/leadership roles.
• Experience presenting to C-suite stakeholders and clients.
• Exposure to AI, automation, predictive analytics, BI, and reporting.
• Experience leading QA frameworks and workforce optimisation.
• Understanding of collections campaigns, dialler strategies, and client scorecards.
• Experience across full credit lifecycle: pre-delinquency to rehabilitation.

Responsibilities

• Lead the Insights & Client Enablement function with strategic direction across analytics, reporting, quality, and performance.
• Drive AI-enabled predictive analytics and executive reporting capabilities.
• Develop and optimise client scorecards and commercial interventions.
• Lead workforce optimisation and quality assurance initiatives.
• Build relationships with executive stakeholders and clients, translating data into actionable insights.
• Drive reporting automation, governance, and continuous improvement.
• Identify performance opportunities across the collections lifecycle using analytics.
• Lead and develop analytics and client enablement teams.

Skills

AI analytics

Executive reporting

BI tooling

Data storytelling

Stakeholder management

Quality assurance

Workforce optimisation

Analytics leadership

Education

Bachelor's Degree in Business Administration, Credit Management, Collections, Risk Management, Analytics, Strategy, or related field

Job description

Key Responsibilities:

• Lead the Insights & Client Enablement function, providing strategic direction across analytics, reporting, quality, and operational performance.
• Drive AI-enabled predictive analytics, business intelligence, and executive reporting capabilities.
• Develop and optimise client scorecards, performance frameworks, and commercial interventions.
• Lead workforce optimisation and quality assurance initiatives to improve operational outcomes.
• Build strong relationships with executive stakeholders and key clients, translating complex data into actionable business recommendations.
• Drive reporting automation, governance standards, and continuous improvement initiatives.
• Utilize analytics to identify performance opportunities across the collections lifecycle from pre-delinquency through to recoveries.
• Lead and develop high-performing analytics and client enablement teams.

Job Experience and Skills Required:

• Bachelor's Degree in Business Administration, Credit Management, Collections, Risk Management, Analytics, Strategy, or a related field.
• Minimum 8 years' experience within Collections Strategy, Business Intelligence, Operational Analytics, Performance Management, or a similar environment.
• Minimum 3 years' experience at Senior Management, Head of Department, or equivalent leadership level.
• Proven experience engaging with C-Suite stakeholders and presenting strategic insights to executive audiences and clients.
• Strong exposure to AI, automation, predictive analytics, business intelligence, and reporting solutions.
• Experience leading quality assurance frameworks and workforce optimisation initiatives.
• Strong understanding of collections campaigns, dialler strategies, operational reporting, and client scorecards.
• Essential exposure across the full credit lifecycle, including pre-delinquency, collections, recoveries, and rehabilitation.
• Strong commercial acumen, strategic thinking, stakeholder management, and data storytelling capabilities.
• Advanced experience using business intelligence and analytics tools.