Manager: Data Integration and Operations (Re-advertisement)

Job description

• Data Integration, Operations, and Service Reliability - Ensure effective data management, formulate quality data collection techniques, implement efficient and secure procedures for data handling and analysis, and establish data sharing rules and proper governance. Monitor and analyse information and data systems, troubleshoot data-related problems, and ensure data security and integrity. Ensure data integration in the Enterprise Data Warehouse. Define and implement access and security controls in the data warehouse environment. Create efficient ETL Extract Transform and Load jobs to transform data. Define and implement effective data pipeline jobs to extract, transform and load data. Ensure smooth and efficient execution of all data pipelines. Ensure the day-to-day operation and management of data. Collaborate with expert teams to design and maintain data architectures that support business needs. Evaluate and recommend data management tools and technologies. Implement and manage master data management solutions for core data entities. Ensure consistent and accurate master data across the organization. Establish data quality standards and processes to maintain high data integrity. Lead data profiling, cleansing, and validation initiatives. Monitor and report on data quality metrics and drive continuous improvement. Design and maintain data architectures that support business needs in collaboration with expert teams. Analyse and interpret large amounts of data. Ensure training on all relevant data management and automation products and service users on the applicable compliance and governance requirements. Conduct regular data security audits and risk assessments. Ensure timely compilation and submission of all the required reports internal and external to ensure compliance. Collaborate with expert teams to design and maintain data architectures that support business needs. Lead and manage the delivery of enterprise data integration operations, ensuring consistent, reliable, and high-performing data services across all business-critical systems. Establish and enforce service management frameworks, including SLAs, OLAs, KPIs, and performance benchmarks for data integration services. Implement and oversee advanced monitoring, observability, and alerting capabilities, enabling proactive identification and resolution of issues. Direct incident management, root cause analysis, and problem management processes to minimise downtime and prevent recurrence of issues. Drive the implementation of Data Ops practices, including automation of deployment pipelines, testing, and operational workflows to improve efficiency and speed. Ensure robust business continuity and disaster recovery strategies, including failover mechanisms and recovery procedures for critical data services. Continuously assess and optimise system performance, scalability, and resource utilisation to support growing data volumes and complexity. Establish a culture of operational excellence and continuous improvement, leveraging metrics, feedback, and innovation to enhance service delivery
• Enterprise Data Integration Strategy and Roadmap - Lead the development, socialisation, and execution of a forward-looking enterprise data integration strategy, ensuring full alignment with organisational strategy, digital transformation priorities, and regulatory obligations. Translate complex business, operational, and regulatory requirements into a prioritised, multi-year integration roadmap, balancing quick wins with long-term strategic initiatives. Establish and govern enterprise integration principles, patterns, and reference architectures, ensuring consistency and reuse across all integration initiatives. Drive the identification, evaluation, and adoption of modern integration approaches e.g., API-led, event-driven, real-time streaming to support evolving business needs. Embed integration strategy within the broader enterprise data ecosystem, ensuring alignment with data governance, data architecture, and analytics strategies. Define and track strategic performance metrics and value realisation indicators, ensuring measurable impact on business outcomes. Lead strategic engagements with executive stakeholders to secure buy-in, funding, and prioritisation of integration initiatives. Continuously assess internal capabilities and external trends to adapt and evolve the integration strategy, ensuring long-term sustainability and competitiveness. Manage end-to-end delivery of data integration projects by engaging with business to identify key areas for data integration opportunities, developing associated roadmaps, and managing resources
• Data Architecture and Platform Enablement - Provide overall leadership for the design and evolution of enterprise data integration architecture, ensuring it supports scalability, interoperability, security, and performance across complex environments. Define and standardise integration frameworks, patterns, and toolsets, enabling consistent and efficient delivery across projects and teams. Oversee the end-to-end implementation of data pipelines, ETL/ELT processes, API integrations, and streaming solutions, ensuring alignment with architectural standards. Ensure that integration platforms support hybrid and multi-environment deployments on-premises, cloud, and edge, enabling flexibility and future growth. Drive the adoption of platform engineering principles, including modular design, reusable components, and infrastructure automation. Collaborate with enterprise architecture, security, and infrastructure teams to ensure cohesive and compliant technology solutions. Lead initiatives to modernise legacy integration environments, reducing technical debt and improving performance and maintainability. Establish governance and oversight mechanisms to ensure architecture compliance, solution quality, and adherence to best practices
• Interoperability and Enterprise Data Flow Optimisation - Lead initiatives to enable seamless interoperability across systems, platforms, and business domains, ensuring efficient data exchange. Identify and address data silos, redundancies, and inefficiencies in data movement across the enterprise. Define and implement standard integration patterns and protocols, including APIs, messaging, and streaming technologies. Enable secure and efficient data exchange with external stakeholders, partners, and regulatory bodies. Drive continuous optimisation of data flows to improve performance, reduce latency, and enhance data accessibility
• Governance, Compliance, Standards, Risk Management, Security, and Reporting - Develop, implement and communicate relevant policies and processes to enable effective management of data. Implement data practices in the organisation in line with regulation and ensure compliance. Identify key risks and develop and implement effective mitigating plans and actions. Ensure compliance with data privacy regulations e.g., POPIA, HIPAA and industry-specific requirements. Ensure that effective data recovery plans are in place to ensure business continuity in case of a disaster or potential threats. Provide the required documents to support effective auditing processes. Ensure adherence and compliance with the ATNS regulatory framework. Integrate and enforce data governance principles within data integration processes, ensuring data quality, lineage, and traceability are maintained. Define, implement, and monitor adherence to data integration standards, policies, and best practices across the organisation. Ensure that all data integration activities comply with data protection, security, and regulatory requirements, including POPIA and relevant aviation standards. Collaborate with data governance and security teams to ensure consistent data classification, metadata management, and access control practices. Support audit and compliance activities by ensuring transparent, traceable, and well-documented data flows and