Introduction:

As the Senior Manager: Data & Analytics, your role is to lead and embed a data-driven culture across RMA by developing and executing data and analytics strategy that enables informed decision-making, enhances customer outcomes, ensures regulatory compliance (e.g., COIDA), and drives operational efficiency.

Description:

THE JOB AT A GLANCE

As the Senior Manager: Data & Analytics, your role is to lead and embed a data-driven culture across RMA by developing and executing data and analytics strategy that enables informed decision-making, enhances customer outcomes, ensures regulatory compliance (e.g., COIDA), and drives operational efficiency. Your role is accountable for transforming data into strategic insights that support RMA’s mandate as a social insurer while delivering measurable business value across COIDA administration, Life products and AIT services.

WHAT YOU WILL DO

Strategic Leadership

• Execute enterprise-wide data & analytics strategy aligned to RMA’s social insurance mandate


• Champion data-driven decision-making at a leadership level.


• Translate business strategy into actionable analytics priorities.

Organisational Influence & Impact

• Serve as a trusted advisor to senior leadership on data-led opportunities and risks


• Drive enterprise-wide adoption of data governance and analytics standards


• Influence business units to embed analytics into operational processes.

Data Governance & Compliance

• Ensure compliance with COIDA reporting requirements and insurance regulatory standards


• Implement data governance frameworks covering quality, integrity, security and privacy (POPIA)


• Oversee audit readiness and regulatory submissions.

Analytics & Insights Delivery

• Lead development of predictive models for claims trends, risk profiling and fraud detection


• Enable customer intelligence (segmentation, retention, service optimization)


• Deliver actionable dashboards and insights to business stakeholders.

Operational Excellence

• Oversee data platforms, pipelines and business intelligence tools


• Ensure scalable and secure data architecture


• Manage budgets, vendor relationships and project delivery.

People Leadership

• Build and lead high-performing analytics and data management teams


• Develop skills pipelines (data science, BI, engineering)


• Foster a culture of continuous learning and innovation.

Innovation & Value Creation

• Identify opportunities to monetize data or improve cost efficiency


• Leverage emerging technologies (AI, automation, cloud analytics)


• Drive digital transformation initiatives aligned to corporate strategy.
  
  
  
  
  

WHAT YOU WILL GET IN RETURN

We offer great opportunities for personal and professional development in a stable company that is 132 years strong. The role comes with a competitive salary package and various benefits. Furthermore, you will be part of a dedicated group of colleagues who value teamwork and collaboration.

Turnaround time

The shortlisting process will only start once the advert due date has been reached. The time taken to complete this process will depend on how far you progress within the recruitment process and the availability of our managers. Kindly note that should you not receive a response within 21 days, please consider your application unsuccessful.

Closing date: 18th June 2026

Our Commitment to transformation:

In accordance with the employment equity plan of Rand Mutual Assurance and its employment equity goals and targets, preference may be given, but is not limited, to candidates from under-represented designated groups.

Requirements:

WHAT YOU'LL BRING TO THE TABLE

• Bachelor’s Degree in Data Science, Statistics, Actuarial Science, Computer Science or related field


• Postgraduate qualification (Honours/Master’s) – preferred


• Business or Leadership qualification (e.g., MBA) – advantageous


• 5 – 8 or more years in data & analytics, preferably within insurance, financial services, or regulated sectors


• Minimum 4–5 years in senior leadership roles


• Proven experience in:
  
  
  
  • Insurance analytics (claims, underwriting, actuarial support)
  
  
  • Regulatory reporting (COIDA, insurance frameworks)
  
  
  • Data governance & enterprise analytics strategy
  
  
  • Leading multidisciplinary data teams
  
  
  
  


• Experience with social insurance or public sector regulatory frameworks – advantageous.