Telco Data Modeling Subject Matter Expert (SME) W2 100% Remote

SDH Systems is hiring an experienced Telco Data Modeling Subject Matter Expert
(SME) responsible for designing, developing, and governing enterprise-wide data
models that support telecommunications network planning, inventory management,
service assurance, performance monitoring, capacity management, and network
operations.
Interested Professionals Please share your Updated CV to suchi.n@sdhsystems.com
Job Title: Telco Data Modeling Subject Matter Expert (SME)
Location: 100% Remote
Visa: Any W2
Interview Process: Video (2 Rounds)
Work Schedule: 100% Remote
Job Summary
The ideal candidate will possess deep expertise in telecom domain
models, network inventory structures, OSS/BSS ecosystems, and modern analytical
platforms.
The candidate will work closely with Network Engineering, Planning, Operations,
OSS/BSS architects, Data Engineers, Data Scientists, and Business Stakeholders to
create scalable logical and physical data models that enable network visibility,
performance analytics, forecasting, automation, and AI-driven decision-making.
Key Responsibilities
Telecom Data Architecture & Modeling
Design and maintain enterprise-level conceptual, logical, and physical data
models for telecom networks.
Create canonical data models covering:
Network Inventory
Network Topology
Service Inventory
Resource Inventory
Capacity Management
Performance Management
Fault Management
Configuration Management
Service Assurance
Customer-to-Service-to-Network relationships
Develop data models supporting:
Fiber Networks
Transport Networks (DWDM, MPLS, IP)
Enterprise Networks
Network Monitoring & Service Assurance Data Modeling
Model telemetry and monitoring data from network elements, EMS/NMS
platforms, and observability systems.
Design structures supporting:
KPIs
Performance Counters
Events
Alarms
Fault Correlation
Service Impact Analysis
Create real-time and historical data models for network performance
analytics.
Capacity Planning & Forecasting Data Models
 Develop data models supporting:
Capacity Inventory
Resource Utilization
Demand Forecasting
Growth Planning
Network Expansion Programs
Design relationships between:
Physical Resources
Logical Resources
Services
Traffic Metrics
Forecast Models
Telecom Inventory Modeling Define models for:
Locations / Sites
Buildings
Data Centers
Fiber Routes
Cables
Splices
Devices
Cards
Ports
Interfaces
Virtualized Resources
Establish hierarchical network inventory relationships.
Data Governance Define and maintain:
Data Standards
Data Dictionaries
Metadata Management
Data Lineage
Data Quality Rules
Establish master data and reference data models.
Analytics & AI Enablement
Design models optimized for:
AI/ML workloads
Predictive Capacity Planning
Network Health Analytics
Closed-loop Automation
Required Technical Skills
Telecom Domain Expertise Strong understanding of:
Telecom OSS/BSS
Network Operations Center (NOC)
Service Operations Center (SOC)
Network Inventory Management
Service Inventory Management
Capacity Management
Performance Management
Fault Management
Configuration Management
Service Assurance
Network Planning
Resource Planning
Telecommunications Technologies
Experience across:
Fiber Networks
DWDM
MPLS
IP Networks
Metro Ethernet
NFV
SDN
Cloud-Native Networks
Data Modeling Expertise Experience with:
Conceptual Data Models
Logical Data Models
Physical Data Models
Canonical Data Models
Graph Data Models
Metadata Modeling
Preferred Industry Standards Knowledge
TM Forum SID (Shared Information/Data Model)
TM Forum Open APIs
TM Forum eTOM
ITIL
MEF Standards
Open Digital Architecture (ODA)
3GPP
ETSI NFV
OpenTelemetry
Preferred OSS Experience
Preferred Prior Experience in one or more of the following
ServiceNow TNI
Netcracker
Amdocs
Cramer
Blue Planet
Ericsson OSS
Nokia NMS
Juniper
Cisco
Other OSS platforms
Required Experience
10+ years in Telecommunications Domain
7+ years in Telecom Data Modeling/Data Architecture
Experience with large-scale Tier-1 Telecom Operators such as:o AT&T
Verizon
T-Mobile
Vodafone
BT
Telstra
Orange
Comcast
Charter
Experience implementing TM Forum SID-based data models preferred.
Education
Bachelors degree in Computer Science, Information Systems,
Telecommunications Engineering, or related field.
Master's degree preferred.
Preferred Certifications
TM Forum Open Digital Architecture Certification
TM Forum SID Certification

Work arrangement
Yes