About this role
Job Classification 147517 Job Post End Date: 07 September 2026 Job Family Information Technology Career Stream IT Application Development Leadership Pipeline Manage Self Professional Job purpose Enable Marketing Operations and Delivery squads to become effective, self-managing and outcome-focused teams that deliver priority marketing missions with transparency, quality and predictable flow. The Scrum Master establishes and coaches fit-for-purpose Scrum, Kanban and agile marketing practices; connects squad execution to QBR, programme and release-train commitments; facilitates the removal of systemic impediments; strengthens delivery data and learning loops; and enables responsible collaboration between employees, agencies, specialists, automation and approved AI agents. Role boundaries The Scrum Master is accountable for the effectiveness of the agile system and coaching the team, not for line-managing squad members or assigning every task. Business and marketing owners remain accountable for value, priority, objectives, scope and acceptance decisions. Individuals and delivery disciplines remain accountable for completing and updating their work. The Scrum Master makes risk, dependency, capacity and flow information visible and facilitates decisions by the appropriate accountable owner. Key stakeholders MOPS mission squads and chapter leadership Marketing, Mission and Execution Leads; Insights, Journey and Optimisation disciplines Tribe and business stakeholders, agencies, vendors, Centres of Excellence and travelling experts Workforce Planning, Finance, Procurement, Risk, Compliance, Data, MarTech and technology partners Key accountabilities Squad effectiveness and agile coaching Establish a practical agile way of working suited to marketing campaign, service and optimisation work, using Scrum, Kanban or a deliberate combination. Coach teams in empiricism, focus, transparency, inspection, adaptation, shared accountability and self-management. Facilitate effective planning, daily coordination, reviews, retrospectives, discovery and backlog refinement when facilitation materially improves outcomes. Build facilitation capability within squads so that healthy rituals and decision-making do not depend solely on the Scrum Master. Demand readiness, backlog and sprint discipline Partner with accountable business and delivery leads to ensure epics and stories are clear, prioritised, sized, dependency-aware and meet agreed definitions of ready. Support realistic sprint or flow commitments based on priority, available capacity, skill constraints, dependencies and work already in progress. Maintain transparent backlog and board hygiene, including ownership, dates, status, acceptance criteria, links, risks and evidence required by MOPS standards. Challenge overcommitment, hidden work, excessive work in progress and unplanned demand through evidence and constructive facilitation. Programme, QBR and release-train alignment Translate QBR and programme priorities into visible squad plans, milestones, dependencies and delivery risks. Connect squad-level execution to integrated release-train and enterprise calendar commitments. Identify cross-squad, agency, specialist and technology dependencies early and facilitate ownership, sequencing, escalation and resolution. Provide concise, evidence-based programme updates without duplicating the accountability of delivery or business owners. Flow, impediments and delivery assurance Monitor flow and delivery signals such as readiness, starts, ageing, blocked work, carry-over, throughput, predictability and work in progress. Facilitate root-cause analysis and timely removal or escalation of impediments, with clear owners and follow-through. Embed agreed sprint-start and delivery assurance controls, making missed starts, displacement and downstream impacts visible. Use retrospectives and delivery evidence to drive specific, owned and measurable improvement actions. Collaboration across the marketing ecosystem Create effective collaboration across Marketing Leads, Mission Leads, Execution Leads, IJO, agencies, vendors, travelling experts, CoEs and business stakeholders. Facilitate conflict resolution, decision-making and trade-offs while maintaining psychological safety and constructive challenge. Enable transparent expectations, hand-offs, service dependencies and working agreements across internal and external contributors. Support stakeholder reviews that demonstrate completed outcomes, obtain feedback and improve alignment. Agentic and AI-enabled ways of working Help squads identify tasks suitable for approved AI assistance, workflow automation or governed AI-agent execution, while preserving human accountability for value, judgement and risk. Facilitate workflow decomposition, clear goals, context, inputs, outputs, acceptance criteria, exception paths and human approval points for agent-supported work. Apply responsible AI practices including authorised tools, data protection, access boundaries, output validation, traceability, monitoring and escalation. Design contained experiments with baseline measures and clear hypotheses; compare quality, cycle time, rework, risk and value before scaling. Make AI-generated or agent-executed work visible in the workflow and ensure it meets the same definition of done, quality and governance standards as human work. Coach teams in practical AI literacy, effective prompting and context provision, critical evaluation, safe delegation and human-agent collaboration. Metrics, learning and continuous improvement Create reliable, minimally sufficient dashboards and reports that support decisions rather than reward activity or encourage metric gaming. Interpret delivery trends with context and combine quantitative indicators with team and stakeholder feedback. Track improvement experiments and ensure retrospective actions have owners, due dates and observable outcomes. Share reusable practices and learning across squads and contribute to the evolution of MOPS agile standards. Governance, risk and professional development Maintain auditable workflow records and comply with applicable marketing, risk, privacy, security, procurement, financial and AI governance requirements. Escalate material delivery, conduct, data or control risks through the appropriate channels. Maintain current knowledge of agile marketing, facilitation, flow, change, digital work and responsible AI. Contribute to an inclusive, high-accountability and psychologically safe working environment. Candidate profile Essential qualification: Relevant diploma or degree (NQF Level 6 or 7, or equivalent demonstrated capability) in business, marketing, operations, project management, information systems or a related discipline. Essential certification: Recognised Scrum Master or agile practitioner certification, or demonstrably equivalent practical mastery. Examples include PSM, CSM or PMI-ACP. Preferred learning : Agile marketing, Kanban/flow, facilitation, coaching, change management, Jira or equivalent work management, data analytics, responsible AI or process improvement. Minimum experience: Typically 5 to 8 years in agile delivery, operations, campaign/programme delivery or project-based work, including at least 2 to 3 years operating as a Scrum Master, Agile Delivery Lead or equivalent. Experience in marketing, creative, agency, media, professional-services or another multi-partner delivery environment is advantageous. Essential experience Coaching cross-functional teams and improving team effectiveness beyond simply scheduling events. Managing backlogs, sprint or flow planning, impediments, dependencies and delivery reporting in a workflow platform. Facilitating difficult trade-offs and decisions across business, delivery and external partners. Using data to diagnose flow and improve delivery predictability without using metrics to judge individuals. Supporting programme or portfolio alignment across several teams or workstreams. Leading continuous-improvement, operating-model or ways-of-working change. Agentic and digital capability Understands generative AI, assistants, automation and AI agents at a practical business-workflow level. Can help define a bounded agent-supported workflow, human approval points, quality criteria, exception handling and monitoring. Can evaluate AI-supported outputs critically and coach others to identify errors, unsupported claims, privacy concerns and unsafe actions. Understands responsible AI, data protection, access control, auditability, transparency, intellectual property and third-party risk. Can use approved AI capabilities to improve planning, synthesis, risk identification, documentation or workflow insight without delegating accountable decisions. Coding is not essential; strong digital fluency, curiosity and the ability to collaborate with risk, data and technology specialists are required. Technical and professional skills Scrum, Kanban, agile marketing and flow principles Backlog design, story quality, acceptance criteria and definitions of ready and done Jira or an equivalent work-management platform; dashboard and reporting literacy Facilitation, coaching, conflict navigation and change enablement Programme planning, dependency management and delivery risk Data interpretation, root-cause analysis and improvement experimentation Clear business writing and executive communication --------------------------------------------------------------------------------------- Please contact the Nedbank Recruiting Team at +27 860 555 566