Innovation Hub Manager
Company: Kaelo
Role summary
Innovation Hub Manager is a role at Kaelo in Sandton, Gauteng, South Africa (on-site). Posted 2026-10-21. Experience level: 10+.
- Job title
- Innovation Hub Manager
- Company
- Kaelo
- Location
- Sandton, Gauteng, South Africa
- Work arrangement
- on-site
- Category
- Healthcare Support
- Experience level
- 10+
- Date posted
- 2026-10-21
You’ll love this opportunity to spearhead high-impact healthcare initiatives at a company dedicated to real social change in South Africa. It’s a perfect fit for an experienced leader who enjoys building new frameworks from the ground up and wants to see their strategic vision directly improve people's wellbeing.
Job description
Company Description
About Kaelo
Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes.
Job Description
REQ-02
Role Purpose
The Innovation Hub Manager builds and runs Kaelo’s research and development capability. The department exists to identify, prove and industrialise new product concepts, agentic and AI-based capability, and emerging technology that can create commercial advantage for the organisation. It works ahead of the production estate, taking ideas from opportunity through to a proven, de-risked solution that graduates into Systems Solutions for production ownership.
This is a management role rather than a hands-on engineering role. The incumbent supports the IT Executive in executing the AI and innovation strategy, acting as an enabler, and is accountable for the quality of the innovation pipeline, the rigour with which ideas are tested and the commercial return the portfolio generates. They achieve this by building a capable team from a largely greenfield base, empowering the AI Architect to own technical direction, and holding the portfolio to account through stage-gated governance, documented operating procedures and honest reporting of results.
Key Responsibilities
1. Managing & Team Capability
Manage the Innovation Hub, setting into action the direction set by the IT Executive, prioritising initiatives, establishing ways of working and maintaining a culture in which disciplined experimentation and early stopping are treated as productive outcomes.
Manage the team from a largely greenfield base; develop and retain scarce AI, analysis and design skills.
Delegate technical ownership appropriately, empowering the AI Architect to set reference architecture and engineering standards.
Set objectives, manage performance and manage departmental budget, capacity, partners and vendors.
Develop and maintain standard operating procedures (SOPs) for the Innovation Hub, including stage-gate, experimentation and handover procedures.
Operationalise and enforce Kaelo’s policies within the department, including responsible AI, information security and data protection policies, and address non-compliance.
2. Innovation Strategy & Portfolio
Translate the AI and innovation strategy set by the IT Executive into a sequenced portfolio of initiatives balancing near-term return against longer-horizon capability.
Run stage-gated governance through the Project Manager so that initiatives are funded incrementally and stopped decisively when evidence does not support them.
Horizon-scan emerging technology, particularly in artificial intelligence, and assess its applicability to health insurance and financial services.
Report portfolio progress, learning and realised benefit to the IT Executive and business leadership.
3. Opportunity Identification & Commercial Validation
Engage business and executive stakeholders to identify opportunities of genuine commercial or member value.
Ensure every initiative has a framed use case, value hypothesis, success criteria and measurement approach before build effort is committed.
Ensure realised benefit is measured honestly after solutions reach production.
Build relationships with external partners, vendors, start-ups and academic institutions where they accelerate capability.
4. Responsible AI & Risk
Establish responsible AI practices covering fairness, bias, explainability, human oversight, data provenance and model risk.
Ensure the use of member or production data in experimentation is governed, minimised, anonymised where possible and formally approved under POPIA.
Ensure third-party and model supply chain risk from AI vendors and foundation model providers is assessed and managed.
Ensure security requirements are considered from the outset, in partnership with the Security Engineer, rather than retrofitted at handover.
5. Graduation to Production
Agree with the Systems Solutions Manager the acceptance criteria and boundary of responsibility for solutions entering production.
Ensure graduating solutions carry the documentation, test coverage, observability and operational runbooks required for production acceptance.
Ensure productionisation work is planned and resourced jointly with Systems Solutions.
6. Stakeholders & Governance
Act as a trusted partner to the business, building demand for the Hub’s work while setting realistic expectations of what AI can deliver.
Identify, record and escalate delivery, ethical, regulatory and vendor risks.
Maintain the records required to evidence governance of the innovation portfolio to internal audit and regulators.
7. Alignment, Reporting & Escalation
Align the department’s work to, and execute, the direction and strategy set by the IT Executive.
Communicate progress to the IT Executive, and escalate issues, risks and decisions requiring direction promptly and transparently.
Qualifications
REQ-02
Qualifications & Experience
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science or a related field.
Postgraduate qualification, or formal training in artificial intelligence, product or innovation management, advantageous.
Essential Experience
Minimum 8 years’ experience in technology, including at least 3 years managing teams in a research, innovation, product or advanced engineering function.
Demonstrated experience taking new technology concepts from idea through proof of concept to production adoption.
Practical, current knowledge of the AI landscape, including large language models, agentic systems and machine learning operations.
Experience establishing governance for exploratory work, including stage gating an