Data Officer needed at MiWay Insurance Limited

Role Purpose

• Lead the strategic transformation of data capabilities by integrating actuarial expertise with data governance, MIS oversight, and modern data architecture. This role is pivotal in driving enterprise-wide data governance, modernizing the data warehouse to a cloud-based solution, and enabling data-driven decision-making across the short-term insurance business.

Key Responsibilities

• Data Strategy and Transformation: Develop and execute a comprehensive data strategy aligned with business goals, regulatory requirements, and digital initiatives. Champion the shift from legacy systems to a modern, cloud-based data warehouse.
• Enterprise Data Governance: Establish and lead a company-wide data governance framework (policies, standards, stewardship). Ensure data quality, consistency, privacy, and compliance with South African regulations (e.g., POPIA).
• MIS Oversight: Lead the MIS function to deliver accurate, timely, and actionable insights. Enhance reporting capabilities via automation, self-service BI, and advanced analytics, ensuring alignment with actuarial models and regulatory submissions.
• Actuarial Integration: Apply actuarial knowledge to design database structures supporting pricing, reserving, and risk modelling. Translate actuarial outputs into business-relevant insights and align data strategies with the Head of Actuarial.
• Cloud Data Modernization: Lead the migration of the data warehouse to a scalable, secure cloud-based platform. Evaluate and implement modern data technologies (e.g., Azure, AWS, Snowflake, Databricks) to support real-time analytics and machine learning.
• Stakeholder and Culture: Engage with executive leadership, business units, and technical teams to deliver impactful solutions. Promote a data-driven culture and advocate for data literacy across the organisation.
• Team Leadership: Manage and mentor a team of MIS analysts, data engineers, and governance specialists. Build internal capabilities for advanced analytics, data engineering, and governance.

Qualifications and Experience

• Bachelor’s degree in Actuarial Science, Data Science, Computer Science, or related field.
• Qualified or nearly qualified actuary (ASSA or equivalent) is required.
• +5 years’ experience in short-term insurance, with exposure to MIS, data governance, and actuarial modelling.
• 3+ years management experience.
• Experience in cloud data platforms and data warehouse modernization.
• Proven leadership in data strategy and cross-functional collaboration.

Skills and Competencies

• Strong knowledge of cloud data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
• Proficiency in data tools (SQL, Power BI, Python, R).
• Deep understanding of actuarial principles and insurance operations.
• Excellent communication, stakeholder management, and change leadership skills.
• Familiarity with data privacy and regulatory frameworks (e.g., POPIA, SAM).

Knowledge and Skills

• Data Standards and Procedures
• Data analysis and interpretation and trend analysis within complex business environment
• IT Data Analysis and Architecture
• Statistical analysis and data of sales and marketing performance
• Trend analysis and data interpretation