About the position
Ready to lead the data revolution in one of the world’s most iconic industries? Join a true giant in alcohol and beverages manufacturing and distribution as the DS & BI Lead for the Connected Brewer / Smart Brewery ecosystem.
You’ll sit at the heart of Digital & Technology, driving advanced analytics and business intelligence that turn raw brewery data into smarter, more efficient operations at global scale. The best part? Flexibility — base yourself in Stellenbosch or Sandton.
Reporting to the Manager AI Development, you’ll lead BI Developers and Data Scientists, set the standards, and deliver high-impact analytical products that make breweries smarter.
What You’ll Own
As the DS-BI Lead within the D&A Product Organisation, you are responsible for leading the DS/BI Development / Advanced Analytics capabilities within the Smart Brewery ecosystem.
Embedded within the D&A Product, you work closely with Product Leads, Business Analysts, Data Engineers, and Developers to ensure the delivery of high-quality, scalable analytical products and advanced analytics solutions. You act as the technical and capability lead for BI Developers and Data Scientists, guiding how data is transformed into actionable insights, robust dashboards, and advanced analytical models.
You play a key role in shaping standards, best practices, and ways of working across analytics and data science, ensuring consistency, scalability, and business value delivery at global scale.
A key part of your role is reinforcing Agile Ways of Working, supporting squads with expertise, enabling high-quality delivery, and driving continuous improvement across these capabilities.
Key Responsibilities:
RequirementsSkills & Experience
Essential:
• Strong experience in DA/BI Development and/or Data Science (typically 5+ years).
• Proven experience leading or mentoring DA/BI Developers and/or Data Scientists.
• Expertise in BI tools (Power BI, Grafana), including semantic modelling and KPI design.
• Strong SQL skills and understanding of analytical data modelling.
• Experience with data science tools and languages (e.g., Python, R) and advanced analytics techniques.
• Strong understanding of the end-to-end analytics lifecycle.
• Ability to translate business challenges into analytical and data science solutions.
• Experience working in global, cross-cultural environments.
• Fluent English (written & spoken).
You thrive at the intersection of data, analytics, and business, enabling teams to turn data into actionable insights and scalable solutions that make breweries smarter and more efficient.
We Go Places! How about you?
Desired Skills:
- Power BI
- SQL
- Python
- Modelling
- ML
- Lead
- Agile
Desired Qualification Level:
- Degree
About The Employer:
