Job Opportunities API

Everyone is talking about AI but very few are actually implementing it end-to-end. This role is not about building models in isolation. This is a senior transformation role focused on enterprise adoption of AI and intelligent automation , not a pure technical AI research or model-building position. Candidates with strong backgrounds in digital, data, automation, or large-scale transformation — and recent exposure to AI-driven initiatives — are highly relevant, even if their career did not start in “AI-specific” roles. What You Will Actually Be Solving (Not Just Managing) Disconnected AI pilots that never scale beyond POCs Legacy systems blocking AI integration High OPEX in customer support, network operations, and manual workflows Lack of AI strategy alignment between tech, product, and business units Pressure from leadership to modernise while maintaining operational stability This is a transformation mandate, not a research role. Core Responsibilities 1. Enterprise AI Strategy & Execution Define and drive AI transformation roadmap across business units (Network, CX, Digital, Operations) Identify high-impact AI use cases tied directly to revenue, efficiency, and customer retention Partner with C-suite to align AI investments with commercial priorities 2. AI Use Case Deployment (Real, Not Theoretical) Lead implementation of AI initiatives such as: Predictive network maintenance AI-driven customer service automation Churn prediction and retention models Intelligent pricing & personalisation engines AI-enabled fraud detection and risk systems You will be accountable for scaling solutions beyond pilot stage. 3. Cross-Functional Stakeholder Leadership Work with CTO, CDO, Product, and Operations teams Translate technical AI capabilities into business language Align vendors, internal AI teams, and external partners Navigate organisational resistance to change (very real in telco) 4. Vendor & Ecosystem Management Evaluate AI vendors, platforms, and solutions (GenAI, MLOps, automation tools) Avoid overinvestment in hype-driven tools with low ROI Build scalable AI partnerships within the telco ecosystem 5. Operational Transformation & Cost Optimisation Reduce manual workflows using AI automation Improve operational efficiency across network and service operations Drive measurable KPIs (cost savings, speed, CX improvements) Requirements Experience & Background 10–15+ years of experience in Digital Transformation, Data, Technology, Product, or Enterprise Change roles within Telco, Tech, Consulting, or large-scale enterprise environments Proven track record leading complex, cross-functional transformation programmes (e.g. digitalisation, automation, data transforma