Data Architect (Gig Role) Hybrid JHB (Contract)
IT
Johannesburg – Gauteng
ABOUT THE ROLE
Our client is seeking an experienced Data Architect to join their Information Technology division on a contract basis in Bryanston, Gauteng. The successful candidate will lead the governance, operations, innovation and analytics agenda for enterprise data, providing expert guidance across data, integration and AI architecture while ensuring alignment with business and technology strategy.
KEY RESPONSIBILITIES
1. Governance: Advising on, Monitoring and Governing Enterprise Data
- Develop, coordinate and implement data strategies that support the business’s development plans and capture new opportunities
- Implement data privacy policies and comply with data protection regulations
- Ensure compliance with regulatory and privacy requirements
- Regulate how the business captures, maintains, presents and applies data and information within the business to support business processes and measure performance
- Manage the lifecycle of data and information to comply with the business’s requirements
- Partner closely with IT leadership responsible for data analytics, custodianship and infrastructure, ensuring alignment with the Data and Analytics department and avoiding conflicting activities
- Act as an authority within the Data and Analytics department, promoting industry-leading trends and new data management technologies
2. Operations: Enabling Data Usability, Availability and Efficiency
- Reduce costs and redundancies resulting from duplication of data functions across the business
- Establish the Data Platform & Engineering operating model and architecture to support both traditional reporting and advanced analytics requirements
- Establish the service model and relevant service level agreements with business stakeholders invested in the data platforms
- Enable an environment that makes data and information accessible to all departments and personnel
- Establish the strategic direction for building the business’s data management programme and optimising internal and external data use
- Provide the data analytics infrastructure that supports and achieves operational business requirements
- Oversee cross-functional data governance while ensuring adoption of and adherence to data quality and process governance in collaborating departments
- Lead the design and governance of enterprise data, integration and AI architectures, providing expert guidance and final approval on data, analytics, machine learning and AI models (IBM and Microsoft platforms)
- Maintain strong technical credibility through deep hands-on expertise in data architecture, integration patterns, platforms and emerging AI capabilities
3. Innovation: Driving Digital Transformation, Cost Reduction and Revenue Generation
- Leverage opportunities to monetise data and insights
- Establish and continuously improve agile ways of working in the delivery of platform-related enhancements
- Enable strong business performance by utilising existing data as well as new and innovative data sources
- Oversee the strategic data priorities of the department and identify new business opportunities based on existing data
4. Analytics: Supporting Analytics and Reporting on Products, Customers, Operations and Markets
- Define and drive all analytics and business intelligence initiatives within the Data and Analytics department
- Define appropriate analytical models to support use cases such as customer segmentation, leveraging predictive insights and analytics
- Guide the Data and Analytics team on which data to store, analyse and exploit for the business’s benefit
5. People Management
- Train, mentor and coach subordinates based on identified development needs
- Set and agree performance areas with subordinates and manage employee performance in accordance with HR policy and procedure
- Delegate work to subordinates to maximise productivity
- Manage staff resources and productivity, minimising absenteeism
- Address staff conduct in accordance with organisational codes and procedures so that improvement is shown
- Facilitate communication through appropriate structures and systems
TECHNICAL COMPETENCY REQUIREMENTS
- Highly skilled in the design, development and validation of descriptive, predictive, prescriptive and applied analytics
- IT quality assurance processes
- Robust knowledge of security architecture
- Business analysis
- Project management
- System architecture
- Systems design
- Technology infrastructure design and planning
- Software development
- Database management
- IT security management
- Service provider assessment and evaluation
- In-depth knowledge of pension fund administrative procedures and processes
- Knowledge of pension benefits
- Knowledge of benefits systems
MINIMUM EDUCATION / TRAINING
- Bachelor’s degree in Computer Science, IT or a related discipline
- Data certifications highly advantageous
MINIMUM WORK EXPERIENCE
- At least 8 years of job-related experience, including at least 2 years in a management role
- Experience applying Data Platform and Engineering in a life insurance or financial services context is advantageous
BEHAVIOURAL COMPETENCY REQUIREMENTS
- Leadership
- Self-mastery
- Executes with excellence
- Customer centric
Agile
If you do not hear from us with 2 weeks, kindly consider your applcation as unsuccessful this time.
