Head of Data & CRM

Reference: 11022 MLR
Consultant: Michelle le Roux

Job Description:

• Data Strategy & Leadership
  • Define and lead the data strategy across digital products and the estates they support
  • Build, develop and mentor a high-performing Data & CRM team
  • Establish and implement best practices for data governance, modelling, and analytics
  • Promote and encourage a data-informed culture across product, marketing, and operational teams
  • Partner with the estate teams to advise on data-driven marketing and sales strategies
  • Manage the data roadmap by prioritising stakeholder projects, requests, and analytical deep dives, and assigning work across the teams
  • Ensure compliance with GDPR and POPIA, with strong data governance and privacy practices across the group

• Analytics & Business Insights
  • Translate complex data into clear insights that inform commercial and operational decisions
  • Define new metrics and analyse performance across Ecommerce, hospitality, and visitor experience
  • Design and maintain dashboards, regular reporting, and analytical models
  • Provide strategic analysis on topics such as:
  • Ecommerce performance
  • Customer behaviour and segmentation
  • Pricing and demand trends
  • Marketing effectiveness
  • Operational initiatives and business experiments

• Stakeholder Collaboration
  • Collaborate closely with estate leadership, product managers, and engineering teams
  • Run workshops and discussions to identify data needs and prioritise analytical work
  • Communicate insights clearly to technical and non-technical audiences
  • Provide ad hoc analytical deep dives into specific business problems and opportunities.

• Data Platform & Infrastructure
  • Support the engineering team to ensure reliable, secure data pipelines and scalable data architecture
  • Ensure that analytics infrastructure supports fast, accurate decision-making
  • Oversee the integration of data across multiple systems, including:
    • Ecommerce platforms
    • CRM and marketing tools
    • Booking and admissions systems

• AI & Advanced Analytics
  • Identify opportunities to apply AI and machine learning to business problems
  • Encourage the team to leverage AI tools to improve analytical workflows
  • Explore and implement predictive and other machine learning models in value-adding areas

Qualifications:

• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field
• Demonstrated leadership experience managing or mentoring analysts or data scientists
• 5-10 Years of experience working in data analytics, data science, or data leadership roles
• Ability to translate data into practical marketing levers, demonstrating a strong marketing mindset.
• Strong SQL and experience working with large datasets
• Experience with data visualisation and BI tools
• Ability to operate both strategically and hands-on

How to Apply:

• Email your comprehensive CV to exceedhr@exceed.co.za.
• If you are already registered, please forward your CV and the relevant reference number to the consultant with whom you are currently registered in order to avoid duplicity on our system.
• We reserve the right to only conduct interviews with candidates of choice.
• Applicants who have not received feedback within 30 days from the closing date must please accept their application as unsuccessful.

Submit CV

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