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 Requirements 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 #J-18808-Ljbffr