AI & Data Product Manager/Owner

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