Digital Insights Product Owner

About the Role

AB InBev Africa is looking for a Digital Insights Product Owner who can shape and deliver data-led products that support commercial growth across the Africa Zone. This role sits at the intersection of Commercial, Digital, Data Science, Data Engineering, and Technology, turning business challenges into scalable analytics products, machine learning use cases, decision-support tools, and tailored customer experiences.

The position is focused on enabling personalised and automated engagement across BEES touchpoints, with the goal of improving distribution, volume, market share, customer retention, and overall commercial productivity.

Product Strategy and Vision

• Set, own, and clearly communicate the product vision, roadmap, and strategic focus for the assigned Digital Insights products.
• Convert commercial goals into scalable digital and analytics product opportunities.
• Work with senior commercial leaders to uncover growth possibilities through data, AI, automation, and customer personalisation.
• Build and maintain a roadmap that stays aligned with the company’s wider strategic priorities.
• Make sure every product investment can be tied back to measurable business outcomes and value creation.

Product Ownership and Delivery

• Take ownership of the product backlog and rank initiatives based on business value, technical effort, expected return, and strategic relevance.
• Ensure outputs satisfy business needs, technical expectations, and operational standards.
• Act as the main decision-maker for scope, prioritisation, and release planning.
• Balance immediate business demands with the long-term stability and scalability of the platform.

Stakeholder Management

• Serve as the key link between Commercial teams and technical delivery groups.
• Question and sharpen stakeholder requests so the team delivers solutions with the highest possible impact.
• Share product direction, progress, risks, and results with leadership stakeholders.

Product Performance and Value Realisation

• Define key performance indicators and success measures for the product.
• Create measurement approaches that show the commercial value delivered.
• Keep looking for ways to improve and optimise the product over time.

Key Attributes and Competencies

• Understanding of programming fundamentals, along with classical optimisation and search methods.
• Strong command of backlog management and prioritisation techniques.
• Proven ability to manage documentation effectively.
• Experience leading technical specialists such as data scientists and data engineers.
• Ability to lead cross-functional routines and project work.

Minimum Requirements

• A bachelor’s degree, a 3-year qualification, or an equivalent technical qualification is required.
• At least 5 years of combined technical and commercial experience.
• A solid mathematical background, ideally including deeper study of differential and integral calculus, linear algebra, combinatorial analysis, probability, and statistics.
• Working knowledge of SQL, Python, and PySpark, which are used in the day-to-day work of the data science and engineering teams.

Additional Information

Band: VI

AB InBev is an equal opportunity employer. All appointments will be made in line with the company’s employment equity plan and talent requirements. The minimum criteria listed in this advert apply, and management may consider additional relevant information during shortlisting.