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Old Mutual is seeking a Head of Engineering to lead the development, modernization and maintenance of applications, systems and platforms. You will translate technology strategy into stable, secure and scalable solutions, embedding AI-assisted engineering practices across the lifecycle to deliver AI-enabled products and platforms for the business.
The role covers software and product engineering, platform and DevOps, data engineering and analytics, AI, ML and automation, security, quality
Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
The Head of Engineering will be accountable for leading the development, modernisation and maintenance of applications, systems and platforms, and will be expected to translate the technology strategy into working systems that are stable, secure, resilient, cost-conscious and capable of supporting digital, data and AI-enabled business outcomes. This is an AI-native leadership role: the successful individual will be expected to embed AI-assisted engineering practices into the software development lifecycle itself, in addition to delivering AI-enabled products and platforms for the business.
The role is particularly important where legacy platforms, complex integrations, regulatory expectations and increasing business demand create pressure on delivery and operational resilience and the successful individual must be able to improve delivery speed and quality while maintaining production stability, security and governance.
This is a leader of leaders role that sets standards, establishes delivery discipline, builds engineering capability, and holds teams accountable for measurable outcomes.
Develop and maintain quality procedures and engineering standards; oversee testing, , certification of technology processes and quality controls for products and platforms.
Manage delivery of major engineering programmes and take personal accountability for a small number of business-critical projects.
Collaborate on the digital roadmap and lead execution of workflows, processes and enablers that allow new applications, products and services to be delivered quickly while maintaining legacy applications and IT operations at optimal levels.
Execute the strategy to grow engineering and digital talent through development plans, coaching, mentoring and improved employee experience.
Create the capability to proactively identify opportunities to improve digital products, services and user experiences over the long term.
Document complex current-state and target-state processes and define the changes required to migrate to the target capability.
Translate function strategy into clear actions for teams; explain the link to organisational mission, vision and values; and motivate people to deliver local business goals.
Set objectives for direct reports, manage performance, hold individuals accountable and take corrective action where required to achieve annual business objectives.
Define the business impact of security incidents and drive recommendations to prevent recurrence, in partnership with security and risk stakeholders.
Manage departmental budget plans and ensure delivery and modernisation choices are cost-conscious and value-led.
Assess capability gaps, prioritise development activity, implement formal development frameworks and strengthen the engineering talent pool.
Oversee complex existing and new applications by identifying areas for modification and improvement, and ensuring new applications meet customer and business requirements.
Define and maintain the roadmap for complex application software development and prioritise engineering work in line with business needs.
Provide authoritative specialist advice to senior managers to support policy implementation, projects and change initiatives.
Drive organisation-wide adoption of AI-assisted development tools (coding assistants, agents, automated testing and code review) across the software development lifecycle, and track their impact on delivery speed, quality and engineering capacity.
Build and scale a self-service internal developer platform with golden paths, reusable components and automated guardrails, reducing cognitive load on engineering teams and accelerating time to production.
Partner with risk, compliance and data stakeholders to embed responsible AI practices, model risk management and data governance controls into engineering delivery, ensuring AI and automation capabilities move from pilot to production safely and with appropriate oversight.
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