#Sgunited Jobs Senior Manager, AI (Networks)

Job Summary Lead AI-driven transformation of network operations by identifying automation opportunities, managing AI use cases end-to-end, and driving cross-functional collaboration to optimize workflows and realize measurable financial and operational benefits. Responsibilities Lead AI-driven redesign of network operational processes across mobile, broadband, and TV domains to enhance efficiency and service quality Identify automation and optimization opportunities within operations, assurance, and service management workflows to improve productivity Manage end-to-end AI use cases from problem definition and current-state analysis through deployment and operational handover to ensure successful implementation Translate operational challenges into structured AI and automation requirements in collaboration with engineering and platform teams to deliver targeted solutions Drive cross-functional collaboration among networks operations, planning, deployment, and optimization teams to align objectives and execution Implement structured tracking of financial and operational benefits, including cost savings and productivity gains, to measure impact Monitor adoption, usage, and operational KPIs to ensure sustained value realization from AI and automation initiatives Ensure solutions comply with Networks–AIDA architecture standards, data governance, and AI compliance policies for consistency and security Evaluate build-versus-buy options and assess vendors for AI and automation solutions to support strategic decision-making Support the roadmap towards Autonomous Network Level 4 by advancing closed-loop automation capabilities Required competencies and certifications Bachelor’s degree in Engineering, Computer Science, Information Systems, or related discipline 5–10 years of experience in telecommunications, network operations, technology, or digital transformation roles Proven track record delivering AI, automation, or analytics initiatives in operational environments Experience managing cross-functional projects involving business, engineering, and vendor teams Preferred competencies and qualifications Familiarity with telecom domains such as mobile, broadband, TV, OSS/BSS, or service operations Strong understanding of telecom network operations including assurance, provisioning, field operations, and optimization Knowledge of AI, machine learning, or advanced analytics applications in operations Understanding of automation frameworks, workflow orchestration, and closed-loop automation concepts Knowledge of data architecture, cloud platforms, and system integration Experience evaluating build-versus-buy decisions and working with vendors