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