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AI & Data Product Manager
Job summary
A dynamic tech firm in Johannesburg seeks an experienced AI & Data Product Manager. In this role, you will define the product vision for AI and data-driven solutions, collaborating with diverse teams to deliver scalable products. Ideal candidates will have 10-12 years of experience and a deep understanding of AI/ML concepts, product management tools, and strong stakeholder management skills. Join us in driving innovation and responsible AI practices.
Qualifications
- 10-12 years of experience in AI and Data product management.
- Experience with BI tools like Power BI, Tableau, or Looker is a plus.
Responsibilities
- Define and own the product vision and roadmap for AI and data-driven solutions.
- Translate business needs into data and AI product requirements.
- Collaborate with data scientists, engineers, and UX teams.
Skills
Education
Tools
Role: AI & Data Product Manager
Experience: 10-12 Years
- Strong understanding of AI/ML concepts, datapipelines, 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 communications 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.
- RubyonRails
- Python
- Kubernetes, Docker
- Java
- Nvidia H200 GPU handling
- Degree in MBA, Computer Science, AI, or related field
- Proven experience in Business Analytics, Business administration
- 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.
- Drives stakeholder alignment and communicates 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.