AI & Data Product Manager
Johannesburg, Gauteng, South Africa
InfyStrat Software Services
Job Description
Role: AI & Data Product Manager
Experience: 10-12 Years
Must have skills:
∙Strong understanding of AI/ML concepts, data pipelines, and analytics.
∙Experience with product management tools and Agile/Scrum methodologies.
∙Proficiency in SQL, Python, and familiarity with cloud platforms (AWS, Azure, GCP).
∙Ability to write clear product requirements and user stories.
∙Strong stakeholder management and communication skills.
∙Analytical thinking and problem-solving mindset.
∙Familiarity with MLOps, model monitoring, and version control.
∙Knowledge of data governance, security, and compliance frameworks.
∙Experience with BI tools like Power BI, Tableau, or Looker.
∙Passion for innovation, user-centric design, and responsible AI.
Good to have Skills:
∙Ruby on rails
∙Python
∙Kubernetes , docker
∙Java
∙Nvidia H200 GPU handling
∙Degree in MBA, Computer Science, AI, or related field
∙Proven experience in Business Analytics, Business administration
Requirements
Key responsibilities:
∙Define and own the product vision and roadmap for AI and data-driven solutions.
∙Translate business needs into data and AI product requirements.
∙Prioritize features and use cases based on business value and technical feasibility.
∙Collaborate with data scientists, engineers, and UX teams to build scalable products.
∙Manage the lifecycle of AI/ML models from development to deployment and monitoring.
∙Ensure ethical AI practices including fairness, transparency, and compliance.
∙Define and track product KPIs and success metrics.
∙Drive stakeholder alignment and communicate product strategy and progress.
∙Oversee data quality, governance, and integration with enterprise systems.
∙Coordinate A/B testing, model retraining, and performance optimization.
∙Ensure security, privacy, and regulatory compliance (e.g., POPIA in South Africa).
∙Lead product documentation, training, and user adoption initiatives.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile AWS Azure Business Analytics Computer Science Data governance Data pipelines Data quality Docker GCP GPU Java KPIs Kubernetes Looker Machine Learning ML models MLOps Pipelines Power BI Privacy Python Responsible AI Ruby Scrum Security SQL Tableau Testing UX
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