Technology Delivery Manager - Data analytics
Must-have:PythonJavaAzureKubernetesCloudDevOpsDataCI/CDAIFinTechLead
- 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.