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Actimize Data Modeler

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 115000 USD Yearly USD 100000.00 115000.00 YEAR
Job Description & How to Apply Below

Job Description

The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting.

Key Responsibilities
  • Design and maintain conceptual, logical, and physical data models for Actimize applications.
  • Analyze source systems and map data elements to the Actimize Common Data Model (ACDM).
  • Define ETL requirements and data transformation rules for AML and Financial Crime solutions.
  • Collaborate with business stakeholders to understand regulatory and compliance requirements.
  • Perform data profiling, data quality assessments, and gap analysis.
  • Support implementation of:
    • Actimize Integrated Fraud Management
    • Actimize Transaction Monitoring
    • Customer Due Diligence (CDD)
    • Know Your Customer (KYC)
    • Watchlist Screening
    • Customer Risk Rating
    • Act One
  • Create source-to-target mapping documents and data dictionaries.
  • Work with database teams to optimize data structures and performance.
  • Support UAT, SIT, and production deployments.
  • Ensure data governance, lineage, and auditability requirements are met.
Required Skills
  • Strong experience with NICE Actimize platform.
  • Deep understanding of Actimize Common Data Model (ACDM).
  • Experience in fraud, AML, KYC, Sanctions Screening, and Fraud.
  • Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2).
  • Experience with ETL tools and data integration frameworks.
  • Knowledge of data warehousing and dimensional modeling.
  • Ability to create source-to-target mappings and data lineage documentation.
  • Experience with large‑scale banking data environments.

Salary Range: $100,000-$115,000 a year

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