Senior AI Actuary

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well.

The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

This role is intended to bring Actuarial rigour to identifying, prioritising, valuing and delivering AI and Automation opportunities and to evaluate and leverage third-party AI solutions effectively. The incumbent leads the Process Intelligence Engineer squads, owns portfolio prioritisation, value realisation, governance and vendor relationships, as well as quantifies and communicates impact to executives across the AI Automation Strategy (Process Intelligence) and all other AI initiatives.

Matric (Essential)

Honours degree in Actuarial Science and/or Mathematical Statistics (Essential)

Qualified Actuary – FASSA or AMASSA, or equivalent (Essential)

6+ years of experience in Actuarial, strategic analytics or data science roles, including people management and a proven track record of identifying, delivering and quantifying strategic business outcomes (Essential)

Experience leading AI, automation or process improvement initiatives, evaluating and implementing third-party technology solutions, and working in short-term insurance operations (e.g. claims)- (Preferred)

Lead and execute the AI Automation Strategy as Process Intelligence Lead, including the gated, squad-by-squad roll-out.

Identify, size, prioritise and value AI, automation and process intelligence opportunities, supported by robust business cases.

Own portfolio prioritisation, governance and capacity planning across the process intelligence squads and the broader AI team.

Own value realisation: set baselines, KPIs and benefit-tracking frameworks, measure capacity released and savings after go-lives, and evidence of value before scaling.

Evaluate, select and leverage third-party AI and process/task mining solutions (build-vs-buy, POC design, commercial assessment) and manage software vendor relationships where appropriate.

Lead, coach and develop the Process Intelligence Engineers, ensuring end-to-end ownership from discovery through to value realisation.

Partner with Systems, Operations and business stakeholders to standardise processes before automating, and apply AI only where it improves the intervention.

Design experiments (e.g. A/B tests, control groups) to rigorously assess the impact of AI interventions.

Communicate impact and progress to Exco, committees and senior stakeholders through clear, executive-ready reporting.