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AI & Data Product Manager

InfyStrat

Johannesburg, Gauteng, South Africa contract

Posted: June 18, 2025

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Quick Summary

AI & Data Product Manager is responsible for developing and managing AI and data products, with a strong focus on data governance, MLOps, and stakeholder management.

Job Description

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.

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