Saksoft Pte Limited · MyCareersFuture · 2w

Technology Delivery Manager - Data analytics

Singapore, Central

OnsiteFull Time10+ YOESenior LevelSGD 10,000 – 12,000 / month

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Posted: 2026-09-24 (2w)
Place: Singapore, Central
Commitment: Full Time
Salary: SGD 10,000 – 12,000 / month
Experience: 10+ YOE
Department: Banking and Finance
Source: MyCareersFuture (the employer’s own listing)

Your match

Skills in this posting

PythonJavaScalaSnowflakeNoSQLDatabricksKubernetesCI/CDGitOpsArtificial IntelligenceNLPTensorFlow

- Strong grasp of banking operations,risk, compliance, fraud, and customer analytics. - Strong experience in driving transformation of Finance Data Platform, Regulatory Reporting (MAS, PRA, HKMA),Capital Reporting (RWA), Liquidity Reporting (LCR, NSFR, CFMR), Basel IV, Financial Reconciliation - Expertise in Risk & Compliance areas: Credit Risk Analytics, Enterprise Risk Reporting, AML & Financial Crime Compliance, Trade Surveillance Analytics, Data Quality & Controls, BCBS239Data Governance - Expertise in Wholesale Banking &Treasury, Treasury & Liquidity Analytics, Capital Markets Data, Trade Finance Reporting, FTP (Fund Transfer Pricing), Balance Sheet Management - Data Platforms: Teradata, Hadoop/Cloudera, Snowflake, Databricks, Lake House, Azure, Google, Huawei, Ali cloud - Delivery management experience managing governance committees, Benefits Realization, Budget Management, RAID / RACI Management, Resource Capacity Planning, Target Operating Model (TOM) - BI& Analytics Platforms: Teradata, Cloudera, Microsoft Power BI / Azure Analytics, Qlik. - AI/ML, Analytics: Spark Scala, Python, R, Java, TensorFlow, PyTorch, Data Ops tooling, MLflow, Kubernetes - Streaming& Integration: Kafka, Spark Streaming, Informatica, Talend. - Databases, Data federation: SQL, NoSQL DBs, Denodo, Snowflake - Cloud& DevOps: Kubernetes, Airflow, GitOps, CI/CD tools - Knowledge of statistical modeling, predictive analytics, NLP, and AI-driven decision systems. - Financial services data models & data modelling tools and data governance processes - Hadoop languages & tools – Spark, Python, R, Pig, Hue, Impala, Hive, Hbase, Informatica IDL - Experience with AI in banking regulatory contexts (model governance, explainability, audit readiness). - Exposure to data mesh, federated governance, and advanced BI/AI architectures. - 10+ years in data/analytics technology, with 5+ years in an architectural or leadership role. - Demonstrated ability to lead multi-disciplinary teams (engineering, BI, data science). - Excellent communication skills to influence C-level executives and business stakeholders.