AI & Data Product Manager/Owner

ATS Client

Johannesburg

On-site

ZAR 900,000 - 1,500,000

Full time

14 days+
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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

Job Description

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
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