Data Manager

2 months ago

Johannesburg, South Africa Jobted ZA C2 Full time

Key Responsibilities:
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.

Key Requirements:
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

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