AI Product Owner: Generative AI & Roadmap (Hybrid)

LabourLinq Recruitment

Gauteng

Hybrid

ZAR 276,750 - 461,250

Part time

14 days+
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Job summary

LabourLinq Recruitment in Johannesburg or Pretoria is seeking an experienced AI Product Owner to lead the strategy, roadmap, and delivery of AI and Generative AI products that drive business value, operational efficiency, and enhanced customer experiences.

You will define the product vision, own the backlog, identify high-impact AI use cases, and collaborate with business, data, AI engineering, and architecture teams to realise measurable outcomes.

Qualifications

  • Proven experience as a Product Owner in AI or data-driven products.
  • Strong knowledge of Agile and Scrum practices.
  • Experience delivering AI, data, or digital products.
  • Understanding of AI and Generative AI use cases.
  • Roadmap and backlog management experience.
  • Strong business analysis and stakeholder management skills.
  • Experience measuring product success via KPIs and value realisation.
  • SAFe Product Owner/Product Manager certification preferred.

Responsibilities

  • Define the AI product vision and roadmap.
  • Own and prioritise the product backlog.
  • Identify and prioritise AI and Generative AI use cases.
  • Collaborate with business, data, AI Engineering, and Architecture teams.
  • Monitor product adoption and business outcomes.
  • Drive stakeholder engagement and continuous product improvement.

Skills

Product Owner
Agile & Scrum
AI/Data products
AI & Generative AI
Backlog management
Stakeholder management
KPIs / value realisation
Financial Services experience
SAFe Product Owner/Product Manager

Job description

LabourLinq Recruitment in Johannesburg or Pretoria is seeking an experienced AI Product Owner to lead the strategy, roadmap, and delivery of AI and Generative AI products that drive business value, operational efficiency, and enhanced customer experiences.

You will define the product vision, own the backlog, identify high-impact AI use cases, and collaborate with business, data, AI engineering, and architecture teams to realise measurable outcomes.

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