[ref. r92736022] Data Manager - Energy at Work

Leadership & Strategy Development:

• Design, develop, and implement a group-wide Rewards and Loyalty Programme.
• Define a cohesive data strategy that aligns with business objectives and coalition partner requirements.

Data Architecture & Cloud Solutions:

• Build and manage a cloud-based data infrastructure using modern platforms (AWS, Google Cloud, Azure).
• Implement data lakes, data warehouses, and big data platforms for real-time insights.

Data Governance & Compliance:

• Implement frameworks ensuring data quality, integrity, and compliance with GDPR and POPI.
• Manage data security and privacy for customer and partner data.

Team Leadership:

• Lead a cross-functional team of Data Engineers, Data Scientists, and ML Engineers.
• Guide team growth, deliver high-quality data products, and foster a data-driven culture.

Advanced Analytics & ML Solutions:

• Deploy machine learning (ML) and artificial intelligence (AI) for predictive models, enabling hyper-personalisation for engagement and fraud prevention within the loyalty programme.

Stakeholder Engagement:

• Work closely with C-suite executives, coalition partners, and business leaders to drive data-driven decisions.
• Present insights and strategies to senior management and board members.

Cost Optimisation & Reporting:

• Optimise data architecture and software costs; administer reporting platforms (Tableau) and develop dashboards for tracking performance and ROI.

Innovation & Continuous Improvement:

• Stay up-to-date with big data, ML, and cloud technology trends; drive best practices for continuous improvement.

Educational Background:

• Bachelors Degree in Data Science, Computer Science, or related field.
• Postgraduate qualifications or certifications in Cloud Solutions, Data Warehousing, or AI/ML preferred.

Experience:

• 10+ years in data management, business intelligence, and cloud-based architecture, focusing on big data, AI/ML, and data governance.
• Proven success managing cross-functional data teams in Financial Services, FinTech, or Telecom.
• Experience with AWS, Google Cloud, or Azure for large-scale projects.

Technical Skills:

• Expertise in data architecture, warehousing, and data lakes (Redshift, Snowflake, Databricks).
• Proficiency in big data tech (Spark, Kafka, Hadoop) and ETL tools (AWS Glue, Fivetran, Airflow).
• Strong SQL, Python, and other data analytics and ML programming skills.

Soft Skills:

• Strong leadership and team management, with a focus on talent development.
• Excellent presentation and communication skills for engaging senior leaders and stakeholders.
• Problem-solving focus on operational efficiency and business outcomes.

If youre ready to make a big impact and shape the future of our Rewards & Loyalty Programme, apply today!