We are seeking a highly experienced AI & Data Product Manager to lead the strategy development and delivery of cutting-edge AI- and data-driven products. This role sits at the intersection of business data science and engineering owning the end-to-end lifecycle of AI/ML products while ensuring ethical scalable and value-driven outcomes.
Key Responsibilities
Define own and execute the product vision roadmap and strategy for AI & data products
Translate business objectives into clear Product Requirement Documents (PRDs) and user stories
Prioritize features use cases and backlogs based on business value feasibility and risk
Lead cross-functional collaboration with Data Science Engineering UX and Business teams
Manage the full AI/ML lifecycle: development deployment monitoring retraining and optimization
Ensure Responsible AI practices including fairness transparency governance and compliance
Define and track product KPIs success metrics and business outcomes
Oversee data quality governance integration and analytics platforms
Drive stakeholder alignment executive communication and product evangelism
Coordinate A/B testing experimentation and continuous improvement initiatives
Ensure security privacy and regulatory compliance (e.g. POPIA and global standards)
Lead documentation user enablement training and adoption initiatives
Must-Have Skills & Competencies
Strong understanding of AI/ML concepts data pipelines and analytics platforms
Hands-on experience with SQL Python and cloud platforms (AWS / Azure / GCP)
Proven Product Management expertise using Agile / Scrum methodologies
Experience writing PRDs managing backlogs and owning roadmaps
Strong stakeholder management communication and leadership skills
Familiarity with MLOps model monitoring version control and deployment practices
Good-to-Have Skills
Experience with Kubernetes Docker and scalable architectures
Exposure to Ruby on Rails and/or Java
Knowledge of NVIDIA H200 GPU environments or high-performance AI infrastructure
Experience in Business Analytics or Business Administration
MBA Computer Science AI or related advanced qualification
Screening Focus Must-Have Validation
Hands-on experience managing AI/ML product lifecycles
Proven ability to translate business problems into AI/data solutions
Strong experience in cloud-based data and AI platforms
Demonstrated stakeholder management at senior/executive level
Required Skills:
Must-Have Skills & Competencies Strong understanding of AI/ML concepts data pipelines and analytics platforms Hands-on experience with SQL Python and cloud platforms (AWS / Azure / GCP) Proven Product Management expertise using Agile / Scrum methodologies Experience writing PRDs managing backlogs and owning roadmaps Strong stakeholder management communication and leadership skills Familiarity with MLOps model monitoring version control and deployment practices Good-to-Have Skills Experience with Kubernetes Docker and scalable architectures Exposure to Ruby on Rails and/or Java Knowledge of NVIDIA H200 GPU environments or high-performance AI infrastructure Experience in Business Analytics or Business Administration MBA Computer Science AI or related advanced qualification Screening Focus Must-Have Validation Hands-on experience managing AI/ML product lifecycles Proven ability to translate business problems into AI/data solutions Strong experience in cloud-based data and AI platforms Demonstrated stakeholder management at senior/executive level
IT Services and IT Consulting