PSR Modeler

Overview

The PSR SME owns the design and delivery of the Product & Service Record data model — the authoritative representation of how CUSTOMER's network products are structured and related to underlying infrastructure. The model underpins AI-driven event correlation, anomaly detection, root cause analysis, and service impact assessment across the AI Ops platform.

Key Responsibilities

PSR Model Design

• Design end-to-end PSR data model for in-scope products (IP Connect, MPLS, SD-WAN).
• Define PSR entities, attributes, relationships, and hierarchies.
• Develop generic model first; iterate to CUSTOMER-specific as data is confirmed.
• Validate model against current Catalog, Inventory and Ordering systems.

Source System Analysis

• Analyse current Catalog, Inventory and Ordering systems for schemas, structures, and gaps.
• Map data lineage from source systems to PSR model.
• Raise structured data requests to CUSTOMER stakeholders.

Stakeholder & Workshop Engagement

• Lead PSR discovery workshops with CUSTOMER product and provisioning teams.
• Align with CMDB SME on CI-to-product mapping.
• Present findings and model designs to programme leadership.

Use Case Enablement

• Define data requirements per AI Ops use case across ingest, enrich, correlate, and present layers.
• Support event correlation and service impact design.
• Programme Delivery
• Author workstream deliverables; maintain RAID log.
• Contribute to JIRA stories and sprint planning.
• Ensure delivery aligns to PI features and sprint goals.
• Key Deliverables
• 1 Generic PSR Data Model
• Product-agnostic entities, attributes & relationships.
• 2 CUSTOMER-Specific PSR Models
• Per-product models (IP Connect, MPLS, SD-WAN) validated against CUSTOMER data.

3 PSR Attribute Specification Sheet

Attribute detail: type, source, transformation rule, mandatory flag.

4 Source System Analysis Report

• Current Catalog, Inventory and Ordering systems — schemas, gaps, quality findings.
• 5 Data Lineage Map (PSR)
• Source-to-PSR traceability for all key data attributes.
• 6 PSR-CMDB Integration Design
• How PSR entities map to CMDB CI classes.
• 7 Use Case Data Requirements
• Data needs per AI Ops use case at each delivery layer.
• 8 Gap Analysis & Recommendations
• Current state vs. PSR model requirements with prioritised actions.
• 9 PSR Workstream RAID Log
• Ongoing risks, assumptions, issues, and dependencies.
• Skills & Experience
• Domain Knowledge
• Telecom product & service structures (MPLS, IP Connect, SD-WAN).
• Product catalogue and service inventory data models in a telco OSS/BSS context.
• Network provisioning and fulfilment systems (billing gateways, order management).
• CMDB data models and CI class design — ServiceNow preferred.
• AI Ops concepts: event correlation, anomaly detection, service impact, root cause analysis.
• Service assurance and fault management in network operations.

Technical Skills

• Data modelling — entity-relationship, conceptual, logical, physical.
• SQL / database querying for schema analysis and validation.
• Data mapping and transformation specification writing.
• Ability to read and interpret complex, under documented database schemas.
• JIRA — user story creation and sprint tracking.
• TMF SID certification - desirable
• ServiceNow (ITSM, CMDB, Event Management) — desirable.
• Kafka / event streaming awareness — desirable.
• Behavioural & Consulting
• Stakeholder engagement — extracting requirements from time-poor CUSTOMER SMEs.
• Structured problem-solving in data-poor, ambiguous environments.
• Persistence in accessing and validating data from complex legacy systems.
• Clear communication — presenting data models to technical and non-technical audiences.
• Proactive risk identification and escalation.
• Comfortable with iterative, agile delivery and progressive elaboration.

Responsibilities

The PSR SME owns the design and delivery of the Product & Service Record data model — the authoritative representation of how CUSTOMER's network products are structured and related to underlying infrastructure. The model underpins AI-driven event correlation, anomaly detection, root cause analysis, and service impact assessment across the AI Ops platform.

Requirements

The PSR SME owns the design and delivery of the Product & Service Record data model — the authoritative representation of how CUSTOMER's network products are structured and related to underlying infrastructure. The model underpins AI-driven event correlation, anomaly detection, root cause analysis, and service impact assessment across the AI Ops platform.

Technical Skills

• Data modelling — entity-relationship, conceptual, logical, physical.
• SQL / database querying for schema analysis and validation.
• Data mapping and transformation specification writing.
• Ability to read and interpret complex, under documented database schemas.
• JIRA — user story creation and sprint tracking.
• TMF SID certification - desirable
• ServiceNow (ITSM, CMDB, Event Management) — desirable.
• Kafka / event streaming awareness — desirable.
• Behavioural & Consulting
• Stakeholder engagement — extracting requirements from time-poor CUSTOMER SMEs.
• Structured problem-solving in data-poor, ambiguous environments.
• Persistence in accessing and validating data from complex legacy systems.
• Clear communication — presenting data models to technical and non-technical audiences.
• Proactive risk identification and escalation.
• Comfortable with iterative, agile delivery and progressive elaboration.