AI Product Manager: Strategy, Data & Adoption

Dariel; Sandton; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Dariel is seeking an AI Product Manager to define the problem space, prioritise use cases and build the business case for AI-enabled products. You will own requirements, user journeys and data needs, working with researchers and engineers to evaluate model approaches and ensure measurable success.

You will translate use cases into a concrete roadmap, coordinate governance, and drive adoption across business and technical teams, ensuring value delivery and governance compliance.

Qualifications

• Experience in product management, product discovery, business analysis, SDLC practices and requirements elicitation.
• Proven ability to translate business needs into concrete product requirements and user stories.
• Foundational to intermediate AI/ML knowledge supported by relevant certifications.
• Experience with data governance, data readiness for analytics and AI use cases.

Responsibilities

• Define problem, target users, baseline, and business benefits; assess AI fit and prioritize use cases.
• Own PRD for each use case and translate expectations into deliverable requirements and acceptance criteria.
• Inform model and technology choices; collaborate with researchers and ML engineers to evaluate approaches.
• Define features and a product roadmap, including data prep, integration, and governance dependencies.
• Drive adoption, monitor performance, and coordinate governance and release readiness.

Skills

Product management

AI/ML knowledge

Data-driven products

Pilots/PoCs

Stakeholder engagement

Pricing strategies

Business cases / ROI

Change management

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business or related field

Certifications in Product Management (PSPO, CSPO, SAFe POPM)

Tools

Power BI

Tableau

Qlik

Azure Monitor

Application Insights

Job description

Dariel is seeking an AI Product Manager to define the problem space, prioritise use cases and build the business case for AI-enabled products. You will own requirements, user journeys and data needs, working with researchers and engineers to evaluate model approaches and ensure measurable success.

You will translate use cases into a concrete roadmap, coordinate governance, and drive adoption across business and technical teams, ensuring value delivery and governance compliance.