Technology Delivery Manager - Data analytics

SAKSOFT PTE LIMITED; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

SAKSOFT PTE LIMITED seeks a senior data & analytics leader to shape the bank's data architecture and regulatory reporting strategy. You will oversee teams spanning engineering, BI and data science to drive data platform transformation and governance.

The role requires extensive experience in risk analytics, compliance, and advanced analytics in financial services, with strong communication to C-level stakeholders.

Qualifications

• 10+ years in data/analytics technology, with 5+ years in an architectural or leadership role.
• Experience in finance data platforms, regulatory reporting, and risk analytics.

Responsibilities

• Lead multi-disciplinary teams across engineering, BI, and data science.
• Drive transformation of Finance Data Platform and regulatory reporting capabilities.
• Influence C-level executives and key business stakeholders.

Skills

Data analytics

Data governance

Risk analytics

Leadership

Stakeholder management

Tools

Teradata

Snowflake

Databricks

Power BI

Azure Analytics

Qlik

Job description

- 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&amp Integration: Kafka, Spark Streaming, Informatica, Talend.

- Databases, Data federation: SQL, NoSQL DBs, Denodo, Snowflake

- Cloud&amp 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.