Head of Data Analytics and Personalisation

Empowering Africa’s tomorrow, together…one story at a time.

Job Summary

The Head of Data Analytics and Personalisation is responsible for driving data-driven decision-making and customer personalisation strategies to enhance business growth, operational efficiency, and customer experience. This role will lead the development and execution of advanced analytics, AI-driven insights, and customer segmentation strategies to optimise engagement, product offerings, and business outcomes.

Job Description

1. Data Analytics Strategy & Execution

• Develop and implement a comprehensive Data Analytics strategy that aligns with business objectives.
• Lead advanced data modelling, machine learning, and AI initiatives to generate actionable insights.
• Ensure that analytics drive operational efficiencies, revenue growth, and risk management.

2. Customer Personalisation & Engagement

• Design and implement AI-driven personalisation models to enhance customer engagement across digital and traditional channels.
• Leverage predictive analytics to drive customer segmentation, targeting, and hyper-personalised experiences.
• Establish frameworks to measure the impact of personalisation on customer satisfaction, retention, and lifetime value.

3. Leadership & Team Development

• Build, lead, and mentor a high-performing data analytics and personalisation team.
• Foster a culture of innovation, continuous learning, and data-driven decision-making.
• Collaborate with cross-functional teams, including marketing, digital, product, and technology, to embed analytics into strategic initiatives.

4. Data Infrastructure & Governance

• Partner with teams to ensure a scalable, secure, and efficient data infrastructure.
• Promote and enforce data governance, quality, and ethical AI practices.
• Oversee data privacy compliance and ensure adherence to regulatory requirements.

5. Performance Measurement & Business Impact

• Define and track KPIs to measure the impact of analytics and personalisation on business performance.
• Continuously refine strategies based on insights, market trends, and evolving customer needs.
• Provide executive-level reporting and storytelling to communicate data-driven strategies and outcomes.

Key Requirements:Qualifications & Experience

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 10+ years of experience in Data Analytics, AI, customer insights, or personalisation strategy.
• Proven experience in leading Data analytics and AI-driven personalisation initiatives in a customer-centric organisation.
• Strong background in data science, machine learning, and predictive modelling.
• Experience working with big data platforms, cloud technologies, and personalisation engines.

Skills & Competencies

• Strategic Thinking & Problem-Solving: Ability to translate data insights into actionable business strategies.
• Technical Expertise: Proficiency in data analytics tools (SQL, Python, R, Power BI, etc.) and cloud platforms (AWS, Azure).
• Leadership & Stakeholder Management: Strong ability to influence and collaborate with C-suite executives, business leaders, and technology teams.
• Customer-Centric Mindset: Deep understanding of customer behaviour and data-driven engagement strategies.
• Data Storytelling & Communication: Ability to present complex data insights in a clear, compelling manner for diverse stakeholders.

Education

Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised