Technology Delivery Manager - Data analytics

-      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.