Service Delivery Manager: Data & AI
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.
Introduction
Business Unit: Altron Digital Business
Department: Data & AI
Location: Gauteng
Appointment Type: Permanent
We are looking for an experienced Service Delivery Manager to lead the delivery and ongoing improvement of enterprise analytics and data managed services across complex client environments.
This is a senior, client-facing role responsible for service performance, operational governance and stakeholder management across Teradata, data integration, BI, analytics and related platforms, within a 24/7 production environment. The role also has a strong focus on using automation, AI and advanced analytics to improve service reliability, efficiency and client outcomes.
Required Tasks
Lead the end-to-end delivery of managed services and ensure agreed service levels and client commitments are achieved.
Lead multidisciplinary delivery teams operating within complex, 24/7 production environments.
Manage service performance across on-premises, cloud and hybrid environments.
Drive operational governance, service reviews, incident and problem management, risk management and continuous improvement.
Oversee services across Teradata, Hadoop, data integration, BI and analytics platforms.
Act as the key operational interface between clients, internal teams and third-party providers.
Lead critical incidents and escalations, ensuring effective resolution and stakeholder communication.
Identify and drive opportunities for automation, AI, predictive monitoring and advanced analytics to improve service delivery and business value.
Ensure effective transition of new solutions, releases and changes into production.
Requirements
Strong experience leading enterprise service delivery or managed services within a complex, client-facing technology environment.
Solid knowledge of IT service management and ITIL-aligned operational processes.
Experience leading multidisciplinary teams and third-party providers within a 24/7 production environment.
Strong understanding of data warehousing, big data, analytics platforms and supporting infrastructure.
Experience with Teradata, Hadoop, open-source technologies, ETL/data integration, BI and analytics applications.
Experience using operational metrics and analytics to improve service performance.
Working knowledge of Agile and Waterfall delivery approaches.
Practical understanding of AI, machine learning, generative AI and intelligent automation within enterprise data and analytics environments.
Strong client engagement, stakeholder management, leadership, communication and escalation-management skills.
General Comment/s
This role would suit an experienced Service Manager who combines strong operational leadership with a solid understanding of enterprise data and analytics environments and is passionate about improving how technology services are delivered.
Please note that this is an abbreviated job profile. The full job description will be shared with shortlisted candidates.