Data Product Manager: Drive Data-Driven Retail Value

Pick n Pay; Cape Town; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Pick n Pay is seeking a Data Product Manager to own and deliver data products that drive measurable business value across the retail organisation. You will bridge business stakeholders with data, analytics, and data science teams to translate priorities into actionable solutions.

The role emphasises governance, data quality, and fast delivery while maintaining high standards and clear success metrics. You will collaborate across Commercial, Store Ops, Finance, Marketing and more.

Qualifications

• Bachelor’s degree or equivalent practical experience in a related field.
• Project Management certification or equivalent; Agile certification preferred.
• 5+ years’ experience in data, analytics, BI, or technology environments.
• Experience translating business needs into data/analytic outputs.
• Experience working with senior stakeholders and prioritising multiple domains.

Responsibilities

• Act as primary engagement point for business stakeholders across Retail domains.
• Translate business questions into clear data, analytics and data science briefs.
• Own the vision, roadmap, and backlog for data products.
• Coordinate delivery across data engineers, analysts, data scientists, and partners.
• Ensure data products are adopted and deliver measurable business outcomes.
• Monitor KPIs and continuously improve data products.

Skills

Data product management

Stakeholder engagement

Requirements translation

Delivery & project management

Data governance & quality

Communication & facilitation

Strategic thinking

Cross-functional collaboration

Education

Bachelor’s degree in Information Systems/Business/Analytics/Commerce

Project Management certification (Agile preferred)

Job description

Pick n Pay is seeking a Data Product Manager to own and deliver data products that drive measurable business value across the retail organisation. You will bridge business stakeholders with data, analytics, and data science teams to translate priorities into actionable solutions.

The role emphasises governance, data quality, and fast delivery while maintaining high standards and clear success metrics. You will collaborate across Commercial, Store Ops, Finance, Marketing and more.