Telco Data Modeling Subject Matter Expert (SME) Location: Remote – USA Job Summary We are seeking an experienced Telco Data Modeling Subject Matter Expert (SME) to design, develop, and govern enterprise data models supporting telecommunications network planning, inventory management, service assurance, performance monitoring, capacity management, and network operations. The ideal candidate will have deep expertise in telecom domain models, network inventory structures, OSS/BSS ecosystems, and modern data architecture. The role involves collaborating with network engineering, planning, operations, data engineering, architecture, and business teams to develop scalable data models that support analytics, forecasting, automation, and AI-driven decision-making.

Key Responsibilities

Telecom Data Architecture and Modeling Design and maintain conceptual, logical, and physical data models for telecommunications networks. Develop canonical data models covering network inventory, topology, service and resource inventory, capacity, performance, fault management, configuration, and service assurance. Model customer-to-service-to-network relationships. Develop data models for fiber, transport, IP, and enterprise networks. Network Monitoring and Service Assurance Model telemetry and monitoring data from network elements, EMS/NMS platforms, and observability systems. Design data structures for KPIs, performance counters, events, alarms, fault correlation, and service impact analysis. Develop real-time and historical models for network performance analytics. Capacity Planning and Forecasting Build data models for capacity inventory, resource utilization, demand forecasting, growth planning, and network expansion. Define relationships between physical and logical resources, services, traffic metrics, and forecasting models. Telecom Inventory Modeling Model network locations, sites, buildings, data centers, fiber routes, cables, splices, devices, cards, ports, interfaces, and virtualized resources. Establish hierarchical relationships across network inventory components. Data Governance Define data standards, dictionaries, metadata, lineage, and data quality rules. Establish master data and reference data models. Analytics and AI Enablement Design data models supporting AI/ML workloads, predictive capacity planning, network health analytics, and closed-loop automation. Required Technical Skills Telecom Domain Expertise Telecom OSS/BSS and network operations. Network and service inventory management. Capacity, performance, fault, and configuration management. Service assurance, network planning, and resource planning. Understanding of NOC and SOC environments. Telecommunications Technologies Fiber Networks, DWDM, MPLS, and IP Networks. Metro Ethernet, NFV, SDN, and cloud-native networks. Data Modeling and Architecture Conceptual, logical, and physical data modeling. Canonical and graph data modeling. Metadata modeling and enterprise data architecture. Preferred Industry Standards TM Forum SID, Open APIs, eTOM, and Open Digital Architecture (ODA). ITIL and MEF standards. 3GPP and ETSI NFV. OpenTelemetry. Preferred OSS Platforms Experience with one or more of the following: ServiceNow TNI Netcracker Amdocs Cramer Blue Planet Ericsson OSS Nokia NMS Juniper and Cisco platforms Other telecommunications OSS platforms Required Experience 10+ years of experience in the telecommunications domain. 7+ years of experience in telecom data modeling or data architecture. Experience working with large-scale Tier-1 telecommunications operators. Experience implementing TM Forum SID-based data models is preferred. Education Bachelor's degree in Computer Science, Information Systems, Telecommunications Engineering, or a related field. Master's degree preferred. Preferred Certifications TM Forum Open Digital Architecture Certification. TM Forum SID Certification.