Overview
Role: AI & Data Product Manager
Experience: 10-12 Years
Must-have skills
- 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.
Good to have skills
- 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
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.
- 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.