AI Product Manager (OVA5989)

Ovations Talent Sourcing; Johannesburg; Hybrid; ZAR 1,000,000 - 1,400,000; Part time

Job summary

Ovations Talent Sourcing seeks an AI Product Manager to drive strategy, development, delivery, and improvement of AI-enabled products. You will bridge business needs, UX, data science and engineering to deliver measurable business outcomes.

The role requires coordinating with data scientists, ML engineers, and stakeholders to define data requirements, validate models, and ensure governance and responsible AI practices are embedded throughout the lifecycle. Hybrid work in Johannesburg is offered.

Qualifications

• Experience in product management, business analysis, or SDLC practices.
• Proven experience in product roadmap development, backlog prioritisation, Agile methodologies, and cross-functional delivery.
• Foundational to intermediate knowledge of AI, ML, and Generative AI, supported by relevant certifications.
• Experience with data governance, data modelling, and data readiness.
• Exposure to pilots, PoCs, A/B testing, and model evaluation frameworks.
• Proficiency in analytics and monitoring tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, and pricing strategies.
• Strong stakeholder management, communication, analytical, and problem-solving skills.

Responsibilities

• Identify and prioritise AI opportunities based on business value, feasibility, data readiness, cost, and risk.
• Define product requirements, user stories, features, acceptance criteria, and product roadmaps.
• Collaborate with data scientists, ML engineers, researchers, architects, and development teams to guide AI product development.
• Assess AI models and technology solutions against product requirements, performance, cost, security, and scalability.
• Define data requirements and coordinate data readiness, quality, access, and governance.
• Establish evaluation frameworks, performance metrics, pilot programmes, PoCs, and testing strategies.
• Monitor product performance, adoption, quality, costs, and business outcomes to drive continuous improvement.
• Ensure responsible AI practices, governance, privacy, risk management, and regulatory compliance throughout the product lifecycle.
• Develop business cases, ROI assessments, value propositions, and pricing strategies for AI-enabled products.
• Drive stakeholder engagement, change management, user adoption, and benefits realisation.

Skills

Agile methodologies

Data-driven products

Cross-functional delivery

Analytics tools

Education

Bachelor's degree in Computer Science / Information Systems / Engineering / Data Science

Tools

Power BI

Tableau

Qlik

Azure Monitor

Application Insights

Job description

WE'RE HIRING: AI PRODUCT MANAGER

WE'RE HIRING: AI PRODUCT MANAGER

Location: Johannesburg-Hybrid 3 days in the office

Employment Type: 12 Months Contract

Are you passionate about Artificial Intelligence, product innovation, and delivering technology solutions that create measurable business value?

We are looking for an experienced AI Product Manager to drive the strategy, development, delivery, and continuous improvement of AI-enabled products. The successful candidate will bridge the gap between business needs, user experience, data science, and technical delivery to ensure AI solutions deliver meaningful business outcomes.

Key Responsibilities

• Identify and prioritise AI opportunities based on business value, feasibility, data readiness, cost, and risk.
• Define product requirements, user stories, features, acceptance criteria, and product roadmaps.
• Collaborate with data scientists, ML engineers, researchers, architects, and development teams to guide AI product development.
• Assess AI models and technology solutions against product requirements, performance, cost, security, and scalability.
• Define data requirements and coordinate data readiness, quality, access, and governance.
• Establish evaluation frameworks, performance metrics, pilot programmes, proof of concepts (PoCs), and testing strategies.
• Monitor product performance, adoption, quality, costs, and business outcomes to drive continuous improvement.
• Ensure responsible AI practices, governance, privacy, risk management, and regulatory compliance are incorporated throughout the product lifecycle.
• Develop business cases, ROI assessments, value propositions, and pricing strategies for AI-enabled products.
• Drive stakeholder engagement, change management, user adoption, and benefits realisation.

Minimum Requirements

• Experience in product management, business analysis, or software development lifecycle (SDLC) practices.
• Proven experience in product roadmap development, backlog prioritisation, Agile methodologies, and cross-functional delivery.
• Foundational to intermediate knowledge of AI, Machine Learning, and Generative AI, supported by relevant certifications.
• Experience with data-driven products, data quality, data governance, data modelling, and data readiness.
• Exposure to pilots, proof of concepts, A/B testing, and model evaluation frameworks.
• Proficiency in analytics and monitoring tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies.
• Strong stakeholder management, communication, analytical, and problem-solving skills.

Advantageous Qualifications

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field.
• Certifications in Product Management, Agile delivery, Business Analysis, AI, or Data disciplines, such as PSPO, CSPO, SAFe POPM, CBAP, or equivalent.
• Experience delivering AI, analytics, digital transformation, or enterprise technology initiatives within large organisations.