Data Modeler BSS Transformation

Position : Data Modeler – BSS Transformation

We are looking for an experienced Data Modeler to support a large-scale Telecom BSS transformation program. The role will be responsible for defining and governing enterprise, logical, and physical data models across legacy and target BSS platforms, with strong understanding of Amdocs and/or Whale Cloud ecosystems.

The Data Modeler will work closely with business, solution architecture, BSS application, integration, data migration, reporting, and testing teams to ensure consistent interpretation and movement of customer, product, account, billing, order, service, and related business data throughout the transformation.

Mandatory Skills

• Strong experience in Telecom BSS data modelling.
• Hands-on understanding of Amdocs and/or Whale Cloud BSS platforms and associated data structures.
• Strong knowledge of telecom concepts across Customer, Product, Order, Service, Billing and Charging domains.
• Experience creating conceptual, logical and physical data models.
• Strong capability in source-to-target mapping and legacy data transformation.
• Good SQL skills for data profiling, validation and model analysis.
• Experience with data modelling tools such as ERwin, ER/Studio, SAP PowerDesigner or equivalent.
• Understanding of relational databases, canonical models, APIs and integration patterns.
• Experience working with data migration, ETL/integration and data-quality teams.
• Ability to work with complex legacy data structures and translate them into simplified target-state models.

Key Deliverables

1. Enterprise / domain data models
2. Conceptual, logical and physical models
3. Source-to-target mapping specifications
4. Amdocs / Whale Cloud entity mapping
5. Data dictionary and business glossary
6. Data lineage and dependency mapping
7. Data transformation and migration rules
8. Reference and master-data definitions
9. Data-quality and reconciliation requirements
10. Target-state BSS data-model documentation

Work Location : Singapore

Interested applicants- please send us resume at [Confidential Information]