Role
Data Architect / Data Management Lead - SAS (Fraud & Investigation Focus)
Job Description
We are seeking a highly experienced Data Architect / Data Management Lead with strong domain knowledge in fraud analytics, case management, and investigation / intelligence systems. The ideal candidate will lead the design, development, and deployment of data integration and analytics components within SAS environments, with hands-on exposure to SAS Viya, data pipelines, and real-time streaming tools. This role is ideal for someone who thrives at the intersection of data strategy, architecture, and stakeholder collaboration.
Key Responsibilities
- Collaborate with business analysts to gather and interpret data-related requirements for fraud / case management / investigation solutions.
- Define and implement a comprehensive data architecture, including data sourcing, integration, cleansing, storage, and provisioning strategies.
- Translate business requirements into technical work products across the ETL, data engineering, and reporting layers.
- Design and lead batch and real-time data ingestion processes from various sources into SAS or big data platforms.
- Develop data pipelines, orchestration frameworks, and visualization / reporting structures using tools such as SAS Viya, DS2, and Python.
- Lead integration and testing of developed components, and support UAT activities.
- Oversee documentation, project tracking, and technical troubleshooting.
- Ensure compliance with data governance, metadata, and quality management standards.
Experience and Skills Requirements
10+ years of relevant experience in Business Analytics, Data Architecture, or Data Warehousing.Proven end-to-end delivery of at least 5 enterprise projects, preferably involving SAS solutions in fraud, surveillance, or case management domains.Strong hands-on experience in :SAS Viya, SAS DS2, SQL Programming
Python, Spark, JSON, XMLJob scheduling, Linux commands, data streaming tools (Kafka / SAS ESP)Postman / SOAPUI, REST APIs, DevOps / DataOpsWorking knowledge of :Data model design, source-to-target mapping
Real-time event processing, metadata management, and orchestrationBackground in fraud analytics, investigative systems, or intelligence / case management frameworks is essential.Familiarity with tools such as SAS Intelligent Decisioning, RTDM, PEGA, or similar is a strong plus.Experience working in government, public sector, or regulated environments is highly preferred.Strong communication, stakeholder management, and leadership skills.Degree in Computer Science, IT, Statistics, or related field.We would like to remind you that eFinancialCareers is a job board and does not conduct hiring or ask for payment or any financial details as part of the job application process.
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Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technolog...
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