jobs in SMBC Group

全职 Director-Executive Director, Data Platform - Tools Engineering 工作, 薪水, SMBC Group 公司招聘中 - Ricebowl

Director-Executive Director, Data Platform - Tools Engineering

SMBC Group

Undisclosed

全职

Singapore

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工作地点

  • Singapore

职位描述

岗位职责



  • Key Responsibilities
    • Lead the engineering, implementation, and continuous evolution of the enterprise data platform, ensuring scalability, resilience, performance, and operational excellence across all data workloads.
    • Develop and operate cloud-native platform infrastructure supporting structured, semi-structured, and unstructured data processing across multiple jurisdictions.
    • Develop and maintain enterprise data ingestion frameworks supporting batch, real-time, streaming, event-driven, API-based, and file-based integration patterns.
    • Establish reusable ingestion accelerators, connectors, orchestration capabilities, and metadata-driven onboarding frameworks that improve consistency and reduce implementation effort.
    • Lead the engineering and evolution of enterprise transformation frameworks, providing scalable data processing capabilities, reusable transformation patterns, code standardization, testing frameworks, and deployment automation.
    • Own and manage enterprise business intelligence and visualization platforms, ensuring secure, scalable, and governed access to reporting and analytical capabilities.
    • Establish and operate analytics workbench capabilities for analysts, data scientists, and AI engineers, including notebook environments, collaborative development platforms, feature engineering environments, and experimentation tooling.
    • Lead the engineering of enterprise LLM integration capabilities, including model connectivity services, prompt orchestration frameworks, retrieval services, vector database integrations, and agent enablement capabilities.
    • Develop reusable AI engineering services that enable secure consumption of internal and external foundation models while complying with enterprise security and regulatory requirements.
    • Establish engineering standards and operating practices for Infrastructure-as-Code, environment provisioning, platform automation, release management, DevSecOps, and continuous delivery.
    • Implement platform observability capabilities including monitoring, logging, telemetry, performance analytics, operational dashboards, and automated alerting.
    • Lead platform capacity planning, workload optimization, resource utilization management, and performance tuning across data and AI environments.
    • Own platform cost management and efficiency initiatives, including cloud financial management, workload optimization, storage lifecycle management, compute utilization monitoring, and vendor licensing optimization.
    • Implement enterprise data security controls including encryption, tokenization, masking, secrets management, key management, identity integration, role-based access control, attribute-based access control, and data protection frameworks.
    • Partner with Cyber Security, Infrastructure, and Risk teams to ensure compliance with enterprise security standards, regulatory obligations, and operational resilience requirements.
    • Collaborate with Data Design & Models to ensure platform capabilities effectively support enterprise metadata standards, semantic frameworks, data products, and emerging business requirements.
    • Collaborate with Data Engineering & Delivery teams to provide reusable engineering services, frameworks, tooling, and platform capabilities that accelerate delivery of business solutions.
    • Manage strategic vendor relationships and technology investments across the enterprise data and analytics technology ecosystem, ensuring platform investments maximize business value and operational efficiency.
    • Build and lead high-performing teams of platform engineers, cloud engineers, DevOps engineers, platform specialists, and engineering leads across Asia Pacific and the Global Capability Center.
    • Continuously evaluate emerging technologies, engineering practices, and platform capabilities to improve developer productivity, operational efficiency, platform reliability, and business value realization.
    • Qualifications & Skills


    • Minimum 10 years’ experience leading enterprise data platform engineering, cloud platform engineering, or large-scale technology organizations within complex financial services environments.
    • Proven experience building and operating enterprise-scale data platforms supporting analytics, regulatory reporting, and advanced data workloads.
    • Deep expertise in modern data platform technologies including Databricks, Snowflake, Kafka, Spark, Delta Lake, Airflow, Kubernetes, OpenShift, and cloud-native data services.
    • Strong experience designing and implementing enterprise ingestion frameworks, transformation frameworks, event-driven architectures, streaming platforms, API integration frameworks, and distributed processing environments.
    • Experience engineering enterprise analytics workbenches and data science platforms supporting advanced analytics, machine learning, and AI development.
    • Strong knowledge of modern AI integration patterns including LLM integration frameworks, retrieval architectures, vector databases, model access services, and AI engineering practices.
    • Experience implementing Infrastructure-as-Code, CI/CD pipelines, DevSecOps practices, platform observability, and automated operational controls.
    • Strong expertise in cloud financial management, platform cost optimization, workload management, and large-scale platform operations.
    • Deep understanding of enterprise security architecture including IAM, RBAC, ABAC, encryption, tokenization, secrets management, and data protection technologies.
    • Proven experience leading geographically distributed engineering teams, platform transformation initiatives, and strategic technology vendor partnerships.
    • Experience managing sizable technology budgets and optimizing both delivery and operational costs across multiple jurisdictions.
    • Strong stakeholder management, communication, and influencing skills with the ability to drive enterprise-wide platform adoption and engineering excellence.
    • Banking and financial services experience supporting multi-jurisdiction regulatory, risk, finance, and operational environments preferred.

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