Location: Bryanston, Head Office

Qualification: Bachelor’s Degree or Equivalent / MBA or Masters degree in Marketing optional

Experience:  12+ years in Consumer Insights, Marketing Analytics, Data Science, or ML/AI, including leadership in multinational FMCG

Closing Date: 20 April 2026

Position Summary

To drive human-centricity by amplifying the voice of consumers and shoppers, guiding strategic direction, and harnessing technology from foundation to advanced analytics to fuel growth at speed and scale.

A day in the life of the Head of Consumer Insights:

• Lead end-to-end insights: segmentation, brand health, shopper behaviour, category trends, competitive intelligence
• Deliver yearly research plan across all five CMIA pillars (Foundation, I&R, Measurement, Data Engineering, Advanced Analytics)
• Identify knowledge gaps via CMIA Knowledge Gap Framework; prioritise research investments
• Deploy foundational tools: 4Us, Category Growth Drivers, Target Portrait, Core Insight, Value Equation, Consumer Journey
• Ensure 100% consumer validation on Tier 1 innovation Big Bets (Bronze / Silver / Gold tiering)
• Shift from descriptive to predictive and prescriptive analytics
• Lead pricing elasticity modelling, demand forecasting, and trade promotion optimisation
• Run post-campaign and post-launch reviews; feed learnings into planning cycles
• Build single source of truth across syndicated, first-party, and cross-functional data
• Manage data provider relationships (Nielsen, Kantar, Intage, Circana, etc…)
• Sit on country leadership team; present in ICP, MBP, MOR, innovation gates
• Partner with Marketing on brand/portfolio strategy; lead RFPs for external research
• Raise the profile of CMIA: showcase wins, demonstrate value, build coalitions
• Build high-performing team; drive maturity toward Foresight Partner (L4)
• Activate community: forums, knowledge sharing, zone rhythms

What will make you successful

• Bachelor's required; MBA or advanced degree preferred.
• 12+ years in Consumer Insights, Marketing Analytics, Data Science, or ML/AI, including leadership in multinational FMCG
• Expertise in Marketing Mix Modelling, attribution, sales lift measurement
• Track record leading cross-category, multi-market teams
• Proven change management: coaching, training, embedding new frameworks
• Budget management and vendor portfolio oversight
• Deep experience with syndicated, first-party and cross-functional data integration