Analytics Success Manager

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

The key purpose of this role is to serve as a trusted partner to business stakeholders across Africa Zone and Global teams, enabling them to maximise value from Data Analytics & AI capabilities. The Success Manager will be responsible for driving adoption of analytics & AI solutions, ensuring stakeholders have the visibility and insights required to make informed decisions, and identifying opportunities to enhance business performance through data-driven strategies. The role acts as the bridge between business and technical teams, translating business needs into analytics & AI outcomes, championing user adoption, and ensuring emerging AI capabilities deliver measurable value across multiple functions and markets within Africa Zone.

Key Roles and Responsibilities:

• Analyse business processes and identify opportunities to enhance decision-making through advanced analytics, predictive insights and AI-enabled capabilities.

• Translate business objectives into technical requirements, delivery roadmaps and success metrics for analytics & AI use cases.

• Define and document requirements, KPI metrics, data definitions and business rules.

• Develop trusted relationships with business stakeholders across Africa Zone to understand strategic priorities, challenges, and success measures.

• Drive adoption and effective utilisation of analytics, and AI-enabled solutions across functions.

• Monitor customer satisfaction and proactively address barriers to adoption and value realisation.

• Ensure analytics solutions are designed to support future business growth, strategic objectives, advanced analytics, AI, and automation requirements.

• Support governance processes that improve trust and confidence in business reporting and insights.

• Support change management and user enablement activities to ensure successful adoption of analytics & AI solutions.

• Support the introduction of AI-enabled features, natural language querying, intelligent insights, and automation capabilities that enhance user experience and business visibility.

• Champion self-service analytics, AI and data literacy initiatives.

• Analytics Value Creation: Facilitate regular stakeholder engagement sessions to gather feedback, identify opportunities, and demonstrate value realised from defined analytics & AI initiatives.

• Analytics Value Creation: Measure, track and communicate the business impact of analytics and AI solutions.

• Analytics Value Creation: Track adoption, engagement, and value metrics to ensure stakeholders achieve desired outcomes.

Key Attributes and Competencies:

• Proven track record delivering projects within agreed timelines.

• Exceptional analytical thinking skills for converting data into insights.

• Well-articulated and structured communication skills are essential as the person will be pivotal in communicating with business from across the globe and development team.

• Comprehensive understanding of data modelling, administration, and visualisation.

• Capacity to perform in an atmosphere where agility and continual development are prioritised.

• Retains the pulse of domain or business area by remaining connected to various stakeholder groups.

• Demonstrable problem-solving skills with an ability to manage complexity and ambiguity.

• Strong understanding of Agile & Scrum with a proven track record of delivery.

• Business Analysis skills - requirement documentation and elicitation.

• Experience in designing, executing, and interpreting A/B tests and experimentation frameworks to support data-driven decision-making, measure business impact, and optimize product performance.

Minimum Requirements:

• Relevant 3-year university degree in Commerce, Computer Science, Engineering, Information Systems or related field.

• 3 Years Advanced proficiency in Reporting and Analytics Technologies, Databricks, SQL, Python, R, SAP, SYSPRO and PowerBI Certifications are beneficial.

• Experience in an FMCG is beneficial.

Additional Information:

• Band: VII

​ABInBev is an equal opportunity employer, and all appointments will be made in line with ABInBev employment equity plan and talent requirements. The advert has minimum requirements listed. Management reserves the right to use additional/ relevant information as criteria for short-listing.