AI & Data Product Lead: From Strategy to Launch

ATS Client; Johannesburg; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

ATS Client is seeking an experienced AI & Data Product Manager to lead strategy, development, and delivery of AI- and data-driven products. You will own end-to-end lifecycles, collaborate with data science, engineering, and business teams, and ensure ethical, scalable outcomes.

Responsibilities include defining roadmaps, translating business objectives into PRDs, prioritizing features, and driving KPIs, data quality, and governance across platforms.

Qualifications

• Hands-on experience defining AI/ML product lifecycles and roadmaps.
• Ability to translate business problems into AI/data solutions.
• Strong cloud experience (AWS/Azure/GCP) and data platforms.
• Proven stakeholder management at senior/executive levels.

Responsibilities

• Define, own, and execute the product vision and strategy for AI & data products.
• Translate objectives into PRDs and user stories.
• Prioritize features based on value, feasibility, and risk.
• Lead cross-functional collaboration with Data Science, Engineering, and UX.
• Manage AI/ML lifecycle: development, deployment, monitoring, retraining.
• Ensure Responsible AI practices including governance and compliance.
• Define and track product KPIs and business outcomes.
• Oversee data quality, governance, integration, and analytics platforms.
• Coordinate stakeholder alignment and executive communication.
• Lead documentation, user enablement, and adoption initiatives.

Skills

AI/ML concepts

Data pipelines

Analytics platforms

SQL

Python

Cloud platforms (AWS/Azure/GCP)

Agile / Scrum

Tools

Kubernetes

Docker

Ruby on Rails

Java

Job description

ATS Client is seeking an experienced AI & Data Product Manager to lead strategy, development, and delivery of AI- and data-driven products. You will own end-to-end lifecycles, collaborate with data science, engineering, and business teams, and ensure ethical, scalable outcomes.

Responsibilities include defining roadmaps, translating business objectives into PRDs, prioritizing features, and driving KPIs, data quality, and governance across platforms.