First VP, Enterprise Data Governance, Data Management Office

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.

Job Description

About the Department

The Data Management Office and Big Data Analytics function answers the demand for quality and credible data across the Group.

Data Management Office

We govern the use of data across the Group and provide guidance for data management and usage. This optimises the value of data to enable smarter, faster and more accurate decision-making as well as improve operational efficiency. Above all, we ensure adherence to all data governance standards as determined by regulators.

Big Data Analytics

We are a centralised analytics function that supports Group-wide business units and their analytical needs. We aim to establish ourselves as an analytics centre of excellence and drive analytics adoption and the utilisation of new big data technology across the Group. Our key areas of service range from business intelligence, strategic analytics to data science.

Job Responsibilities

The role supports the Head of Enterprise Data Governance in defining and operationalising the long-term vision and strategy for data governance across the Group that are in line with the Bank`s risk appetite and business objectives. Your main responsibilities are to:

• Actively drive the adoption of the UOB Group-wide Data & AI Governance strategy, framework and policy, incorporating best practices and industry standards across different jurisdictions where the Bank operates. The framework should ensure that the data & AI assets across the Bank are clearly defined, owned, stewarded, distributed, consumed and risk managed in accordance with the Bank’s applicable policies, principles and standard.
• Collaborate with cross-functional teams, including business data users and data scientists, technology, risk, legal and compliance, to integrate Data & AI governance practices into the bank's ecosystem.
• Lead and participate in Data & AI risk assessments and validations, covering the risk management spectrum of Data & AI lifecycle.
• Actively lead and participate in cross-functional data quality initiatives, including the regions, to identify and resolve enterprise data quality challenges, with a focus on assessing and improving quality of critical datasets.
• Lead, guide and mentor a team of functional and technical data quality analysts in delivering enterprise-wide data quality solutions.
• Provide guidance and expertise in the understanding of business-data requirements, design of data quality checks, data profiling, root cause analysis and design of data quality measurement scorecards.
• Collaborate with data producers and consumers across the Bank and look at innovative ways of identifying and quantifying data quality problems, as well as ways of resolving data management issues over the data lifecycle, with a focus on critical datasets.
• Drive application of innovative methods such as data science techniques, machine learning or other statistical means in proactively managing data quality risks.
• Perform periodic reporting on data quality initiative updates, issues and remediation plans to Management Committees and senior stakeholders from the business units.
• Understand the end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; develop and enhance supporting documentation.
• Be an agent of change and inculcate data governance culture and discipline across the Bank’s business and technical processes as well as across diverse stakeholders.

Job Requirements

• Bachelor’s/Master’s Degree in Information Technology, Business Computing, Data Science or related disciplines with at least 12 years of working experience in the banking industry, or consulting industry with strong exposure to Financial Services.
• Extensive knowledge and understanding of Data & AI Governance discipline, strategy and policy planning, especially related to financial industry best practices and across the regulatory landscape.
• Understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. Red Teaming) will be  an advantage.
• Good understanding of data management and related disciplines, such as data management lifecycle, data architecture, data quality and metadata
• Excellent project management and facilitation skills, with the ability to manage senior stakeholders across the Bank and to navigate through conflicts with ease.
• Demonstrated ability in driving teams and initiatives independently.
• Excellent written / oral communication skills with strong interpersonal skills.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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