Head of Data Analytics

SUMMARY:
The Head: Data and Analytics is a strategic leadership role responsible for driving enterprise-wide data and analytics capabilities to support data-informed decision-making, innovation, and strategic growth. The role will oversee the development, implementation, and management of Data Governance, Business Intelligence, Advanced Analytics, Data Warehousing, and System Integration functions. The incumbent will lead a multidisciplinary team of data professionals and collaborate across departments to ensure data solutions align with business objectives and deliver measurable value.

POSITION INFO:
JOB DESCRIPTION INFORMATION:

Job Title: Head: Data and Analytics
Employment Type: Permanent
Work Model: Johannesburg


JOB CONTEXT:
Reporting directly to the Group Executive: Corporate Services, the Head: Data and Analytics will be the strategic brain behind the company’s data-driven transformation. In this dynamic role, you’ll lead the charge in shaping and managing our Advanced Analytics, Data Warehouse, Business Intelligence, Data Governance, and System Integration functions — all with the goal of unlocking the power of accurate, trusted data to drive smart decisions and bold strategies.
You’ll head up a talented squad of data scientists, analysts, and engineers — thinkers, builders, and problem-solvers — while collaborating closely with business leaders to craft data solutions that don’t just meet expectations but exceed them. Whether it’s influencing high-level strategy or streamlining stakeholder reporting, your work will ensure that data isn't just a byproduct — it’s a catalyst.


DUTIES AND RESPONSIBILITIES:
Data Warehousing, BI and Advance Analytics:

• Develop a cutting-edge, world class business intelligence and analytical function to support decision making, strategy formulation and stakeholder management
• Provide data to inform and guide businesses and act as an analytical powerhouse to be leveraged by critical internal and external stakeholders.
• Develop a group wide data strategy to determine and meet the data needs of the group.
• Use information, business intelligence and advance analytics to advise and inform business on issues impacting strategy and operations.
• Use data to monitor the implementation of performance management in accordance with the organizational strategy.
• Ensure that all system decisions and changes support the defined systems architecture
• Ensure that wherever possible, self - service reporting or pre-existing reports are utilized – thereby ensuring the number of requests for new reports or a new layout set are kept to a minimum.
• Review and approve BRD’s and changes that impact the analytics and data platforms to ensure that the requirements are met.
• Review and approve change requests that impact for RMA analytics and data platforms systems to ensure the correct solutions are implemented.
• Ensure changes to data warehouse, reporting and analytical platforms only impact those platforms as anticipated and planned for.
• Assist the business in the automation and optimization of processes and systems using automated BI reporting and predictive analytics.

• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Management information dashboards updated timeously.
• Datawarehouse analytics services in synch with application systems enhancements data structure.

• Oversee the administration and management of all enterprise data.
• Establish and maintain policies to manage enterprise data to ensure compliance, security and confidentiality of data (i.e. Enterprise Data Governance Policy).

• Policies approved by EXCO.
• Compliance with policies.
• Enterprise data dictionaries defined and managed.

• Ensure that the appropriate generation, use, retention and disposal of data and information is consistent with RMA policies.
• Coordinate appropriate procedures that satisfy specified information security requirements, including legal and statutory compliance obligations with the Financial Services Board, Promotion of Access to Information Act (PAIA), Protection of Personal Information Act (POPIA) and Electronic Communications and Transactions Act (ECTA).
• Ensure correct record keeping for each data element policy, data source, data provenance, data element business name, and data element definition.
• Coordinate activities with internal/external technology owners/service providers for the purposes of managing certificates, service upgrades, analysing impact and accountability for the continuous availability of required services.

• Information security procedures approved.
• Data elements documented.

• Manage the planning and coordinating of data integration projects from design to production implementation.
• Manage the technical aspect of API and ESB development/architecture.
• Manage and maintain mission critical services and batch integrations and develop new services.
• Collaborate with all stakeholders to successfully implement the Integration Strategy to enable digital transformation.

• Implemented structured data integration between RMA systems and third-party data providers.
• Documented and implemented functional API and ESB.

• Use appropriate templates and channels to report on progress on a weekly and monthly basis.
• Adhere to deadlines and ensure accuracy and quality.

• Deadlines met Quality of deliverables Accuracy of information.

• Identify talent within the team and develop employees through effective staff management and assist them in meeting their training requirements and achieving their career aspirations.
• Assist in identifying and recruiting new staff members.
• Ensure that financial resources are used efficiently and effectively.

• Thorough understanding of database management systems.
• Thorough understanding of data warehousing, advance analytics, data lakes, business intelligence and data reporting services and systems.
• Experience in complex system integration.
• Knowledge and understanding of business strategy formulation.
• Insurance or Financial Services experience.
• Knowledge of business policies, processes and procedures, legal compliance.

• Minimum 6 years managerial experience.
• At least 5 years of experience in strategic analysis and business insights.
• Experience implementing data governance.
• Experience in Data, BI, Advanced Analytics and Data warehousing.
• Experience in system integration services.
• NQF Level 8: Honours degree in Maths, Statistics, Computer Science or IT.
• Business Management Degree (e.g. MBA) preferred.

• Compensation will be determined based on qualifications, applicable experience, and previous earnings.