AVP/VP, Lead Analyst – Data Management, Group Data Management Office (GDMO)
OCBC · Singapore · 2mo ago
WHO WE ARE:
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Why join
Be part of a high-impact team shaping OCBC’s data governance and management capabilities. You will work on strategic initiatives involving data quality, lineage, cataloguing, and advanced analytics, collaborating with stakeholders across the Group to drive trusted data, regulatory compliance, and data-driven decision-making at scale.
How you succeed
You will thrive in this role by building strong partnerships across business and technology teams, communicating effectively with diverse stakeholders, and managing multiple priorities in a dynamic environment. Leveraging your analytical and problem-solving skills, you will drive continuous improvements to data governance processes and systems, enabling trusted data, regulatory compliance, and operational excellence across the Group.
What you do
The role focuses on advancing the Group’s data management and governance capabilities, with key responsibilities in Data Quality, Data Catalogue, and Data Lineage. Working closely with business, technology, and governance stakeholders, the successful candidate will help ensure that data is trusted, fit-for-purpose, and compliant with regulatory requirements. The role also involves analysing large and complex datasets, conducting data quality assessments, and leveraging analytics and machine learning techniques to generate insights that support business and risk management decision-making.
Key responsibilities:
Implement Data Quality (DQ) rules for Critical Data Elements (CDEs) leveraging the tools and technologies available within the Bank and monitor DQ results for follow-up and remediation.
Manage other data management assets such as Data Lineage, Data Catalogue, taxonomy, and ontology models by working closely with IT and other GDMO team members.
Gather business and functional requirements and translate them into necessary rules for implementation in the relevant data management assets.
Redesign the DQ framework to align with the new Enterprise Data Platform landscape, enabling DQ checks to be performed daily and automate the data catalogue review and taxonomy mapping process for better efficiency and productivity.
Actively participate in the BAU activities to maintain the data management assets, improve the operating procedure aligning to changes as necessary.
Continuously improve reporting and analysis processes, while implementing automation to enhance efficiency and productivity.
Prepare test cases and participate in the user testing for the any upstream changes impacting data management assets.
Partner with internal and external stakeholders, including auditors, regulators, and independent validators, to facilitate smooth compliance reviews and the timely resolution of governance findings.
Who you work with
Group Risk Management operates independently to safeguard and strengthen the OCBC Group. It enables sound decision-making through rigorous risk analysis, optimises risk-adjusted returns, and thereby helps maintain a strong competitive edge for the Group. By adopting best-in-class practices and keeping risks within appetite, the team protects the Group against unforeseen losses while supporting sustainable growth.
About the Group Data Management Office (GDMO)
The GDMO plays a critical role in enabling OCBC Group to harness the value of data and artificial intelligence (AI) in a responsible manner. As the Group’s central function for data and AI governance, GDMO establishes the policies, standards, and controls that guide the management and use of data, analytics, models, and AI solutions across the organisation.
Working closely with business and technology stakeholders, GDMO drives the development of enterprise-wide capabilities in areas such as data quality, data discovery, data lineage, and AI governance. These capabilities help ensure that data is trusted, well-managed, and effectively leveraged to support strategic decision-making, innovation, regulatory compliance, and risk management across the Group.
Joining GDMO offers the opportunity to work in a dynamic and forward-looking team that is shaping the Bank’s data and AI agenda. The team designs and implements governance frameworks and data management solutions that strengthen OCBC’s ability to use data as a strategic enterprise asset while supporting sustainable business growth and digital transformation.
Who you are
7 to 9 years of relevant experience in data management, with demonstrated expertise across core data management disciplines. Prior experience in Ab Initio or any other data management platform will be added advantage.
At least 5 years of hands-on experience in developing ETL processes, implementing data quality controls, and writing complex, highly optimized SQL queries and Python codes to process and analyse large-scale datasets.
Minimum 2 years of experience in a team lead role, successfully driving project delivery within enterprise-wide transformation or strategic program initiatives.
Strong experience with big data technologies such as Hadoop, Hive, Kafka, and Spark, as well as reporting and visualization platforms such as QlikView and PowerBI. Familiarity with database technologies including Teradata, Oracle, Microsoft SQL Server, and PostgreSQL is essential. Prior experience working in the Cloud environment will be added advantage.
A collaborative team player with the ability to take initiative, work independently with minimal supervision, and effectively prioritize competing tasks and deliverables.
Proven ability to thrive in a fast-paced, dynamic environment, adapting to evolving regulatory requirements and business needs while continuously learning and adopting new technologies.
Strong stakeholder management and communication skills, with the ability to engage effectively with GDMO leadership and cross-functional stakeholders to build consensus and drive pragmatic, win-win solutions that align with sound data governance and management principles.
What we offer:
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.