Data Governance and Architecture Lead

Trust is the first of a new breed of banks in Singapore – digitally native and focused on delivering a delightful customer experience.  You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank and be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high-quality products for our customers.

As a Data Governance and Architecture Lead, you'd be able to work on and solve some of the many interesting challenges we are facing, learn new ways of working, and build delightful high-quality products for our customers.

Job Responsibilities

Reporting to the CDAO (Chief Data and Analytics Officer), you will join a multidisciplinary team to work on and solve many interesting challenges we are facing, learn new ways of working and build delightful high-quality products for our customers. We are looking for a Data Governance and Architecture Lead for our digital venture in Singapore. Data Governance is an essential function within the company, and you will drive this area in a customer/ product-centric vibrant and collaborative as well as risk-aware environment. You will be to key person to build and improve Data Governance operating model, Data Management processes, Data Architecture artefacts and Data Risk Framework across the company.

In this role, you should be familiar with the agile practices and working in sprints with other business teams and data engineers to bring data governance and data risk use cases to life. Your passion for data and desire to govern and manage data to ensure data integrity and data quality will be key for this role.  Other responsibilities include:

• Own and drive the roadmap in improving and implementing data governance framework and operating model to support business, regulatory and compliance requirements.
• Drive data management roadmap and improve data management process in the end-to-end lifecycle to ensure data integrity and data quality.
• Design and implement standards and approach in identifying/ rationalising CDEs.
• Serve as a liaison between business and IT and ensure data requirements are clearly defined, prioritised, and implemented.
• Act as a proactive champion for managing data as an asset in driving business strategic goals.
• Ensure the understanding and adoption of data governance framework and data management standards/ processes across the company.
• Drive and facilitate data governance workgroup on a regular basis.
• Engage with data owners, data stewards and data custodians in data governance workgroup to drive actions items/ data issues to closure.
• Contribute to the definition of the data policies and standards.
• Thorough understanding of MAS requirements on data governance and data management.

Data Risks Responsibilities

• Regular review of the Data Risk Framework relevance to the current needs of the company.
• Identify risks and control gaps of the Data Risk Framework.
• Lead and drive the implementation and enhancement of the Data Risk Framework processes and controls.
• Perform data risk controls assessment and work with business and IT on solutions and remediation.
• Implement technological strategies for data risk mitigation in the bank.
• Experience in supporting risk assessments and developing risk mitigation strategies.

Data Architecture

• Technical understanding on data architecture from data ingestion, data processing, data usage (end-to-end data flow).
• Understand and identify potential data risks in the end-to-end data flow.
• Accountable of the data risks identified in the data architecture and propose mitigation options.
• Work with architecture team to strategise, design, build and document a well governed optimal data pipeline architecture and infrastructure
• Work with data engineering and architecture teams to ensure all ML and AI related platform designs, pipelines are adhering the banks technology patterns and security standards

ML & Gen AI Data Governance

• Lead and drive the implementation of model governance.
• Thorough understanding on regulatory and compliance requirements on ML & AI Governance framework.
• Accountable for model documentation – technical functionalities on data infrastructure and business functionalities on goals and algorithm.
• Accountable for the automated process for tracking, monitoring and validation of all ML models.

In order to be successful at the role, you must have the following:

• 12+ years of overall experience with the bulk of this experience focused on data governance implementation, risk management and compliance
• Experience with cloud and it’s related technologies is critical to the success of the role
• Strong experience in guiding technology teams and enabling them to see the value of processes and governance
• Experience in supporting risk assessments and developing risk mitigation strategies
• Experience in architecting and / or implementing AI, ML and GenAI projects
• Ample experience looking at strategies from an organisation's architecture board's POV in implementing strategies
• Has worked on implementing enterprise-wide data related implementations in "build the bank" and / or "change the bank" initiatives
• Strong experience in developing enterprise data operating model across people, process, technology and governance
  
  

Role Specific Technical Competencies

• Experience with cloud and it’s related technologies is critical to the success of the role
• Experience in architecting and / or implementing AI, ML and GenAI projects

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Come as you are! Trust is an inclusive and open-minded workplace. If you are good at what you do and care about doing a good job, that’s what we focus and want from you.  So come as you are. 😊

Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.