Senior Vice President, Lead TDM, Platform Engineering - Singapur, Singapore - United Overseas Bank

United Overseas Bank Singapur, Singapore

6 days ago

Full time

Description

Senior Vice President, Lead TDM, Platform Engineering (Data Analytics Technology)

Posting Date: 18-May-2023 Location:

Alexandra, Singapore, Singapore

Company: 3677

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About the Department

Group Technology and Operations (GTO) provides software and system development, information technology support services and banking operations. We have centralized and standardized the technology components into Singapore, creating a global footprint which can be utilized for supporting our regional subsidiaries and the branches around the world. We operate and support 19 countries with this architecture to provide a secure and flexible banking infrastructure. Our Operations divisions provide transactional customer services for our businesses while also focusing on cost efficiency through process improvements, automation and straight through processing.

Job Responsibilities

This role will lead the platform engineering aspects of Data Analytics domain , that supports BIG Data engineering, Data Integration, Data Quality, Analytics, ML model development and operationalisation.

Work closely with technology partners to design and build technology solutions to meet business requirements/capability roadmap. Participate in defining capability and application roadmap

Develop standardized frameworks, playbooks, practice guides and other artefacts that will allow the engineering team to work in a structured, standard manner

Create/maintain principles, practices, and standards to get there

Collaborate across Data Analytics technology domain to ensure execution plans are aligned with the application frameworks, chosen tools, engineering practices

Drive change across the Data engineering team via personal credibility, experience

Create awareness and buy-in amongst various stakeholders about architecture, design pattern, framework and new way of working. Needs to be able to act as a mentor/executor when required.

Participate in cross-bank technology initiatives

Participate in definition and selection of data platforms

Guide the future direction of data strategy and processes, including intake, sources, database design and structure, data integrity and database tools

Job Requirements

10+ years of experience of services, product development, infrastructure and security experience as an architect or similar hands-on technology leadership role

Deep knowledge of modern data technology stacks, software development tools, application and system performance monitoring, patterns and practices required to build highly available and scalable services

Strong understanding of infrastructure, integration, virtualization, storage, networks and security technologies

Strong understanding of Industry data model, reporting data model and other standard data model required to support build-out of static and dynamic analytical capabilities

Expertise in large databases involving Oracle, Teradata

Expertise in Data Integration tools/platform Informatica, IBM Data Stage

Experience in Visualization tools/platform Qlik, Power BI

Expertise in Big Data Engineering tools/platform Cloudera, Horton Works, APACHE

Deep expertise in HDFS, HIVE, IMPALA, Kafka, SPARK, YARN is a plus

Has operated in a mixed portfolio of cloud-native and legacy technologies

Experience with large scale technology modernizations and platform migrations of data warehouse, data marts, reporting tools

Recent experience with technology transformations, integrating effective Agile planning and development practices across large organizations

Experience designing, building, and operating high volume, client facing SaaS products

Understanding the cost of trade-offs of various technology decisions and be able to model short and long-term implications

Operational experience of infrastructure management and administrative tools and skillsets eg: Linux shells, Apache Ambari, YARN, to build scalable and resilient data platforms

Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP

Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management

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