VP, Data Analyst, T&O Data Chapter, Group Transformation

300005 Chief Executive's Office_00002555; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A prominent banking institution in Singapore is looking for a VP, Data Analyst to enhance their data ecosystem and drive advanced analytics for Institutional Banking Operations. You will lead project teams to identify insights, optimize processes, and ensure compliance with data governance standards. Ideal candidates have extensive experience in data analysis, proven leadership in transformational projects, and proficiency in SQL and Python. Excellent communication skills and the ability to solve complex problems are also essential for this role.

Qualifications

• At least 10 years of experience in a business/data analyst role.
• Proven track record in leading transformational projects.
• Strong leadership capacity for strategic collaborations.
• Experience with people management is a plus.

Responsibilities

• Collaborate with stakeholders to identify data insights and recommendations.
• Lead project teams to develop data solutions.
• Ensure documentation of data processes and best practices.
• Drive the Data Governance Framework.

Skills

SQL

Python

Data visualization tools

Business analytics

AI/ML understanding

Leadership

Problem-solving

Education

Bachelor’s Degree in Business Analytics/Statistics/Banking & Finance

Tools

QlikView/QlikSense

Tableau

Job description

Job Description – VP, Data Analyst, T&O Data Chapter, Group Transformation (2500001J)

Job Description

VP, Data Analyst, T&O Data Chapter, Group Transformation – ( 2500001J )

Business Function

The Transformation Group reports to the Group Head of GSTAR who supports the CEO and senior management team on the implementation of the Group’s strategic agenda, including working with the businesses and functions to drive strategic initiatives across geographies. The mandate of Technology and Operations Data Chapter (T&O DC) is to lead and support both our Operations and Technology stakeholders towards being an AI‑Fueled support unit.

About the Role

The Data Analyst plays a key role in building the data ecosystem and driving advanced analytics to support journey transformation and process optimization in Institutional Banking Operations and Operations COO. He/she will closely collaborate with key stakeholders within and outside of the IBGO & Ops COO to drive the transformation agenda and decision making in achieving the business goals & outcomes.

Responsibilities

• Collaborate and support Key Functional Stakeholders within IBGO and Ops COO to understand business/servicing opportunities, proactively identify meaningful data insights and develop the right analytics products and recommendations (automation and visualization)
• Lead the project team/squad and work with subject matter experts (i.e. Functional leads within/outside of Corporate Banking Operation) and data science leads to bridge business needs and development of data solutions.
• Plan, coordinate, and supervise all activities related to the design, development, and implementation of the process automation and data reporting needs through analytical reports and solutions.
• Ensure robust documentation of data processes, standards, best practices and guidelines for T&O DC.
• Work within our in-house data platform; continuously build on our database by assessing data from different sources to provide deeper analysis.
• Develop, oversee, and drive the Data Governance Framework, ensuring the team works in accordance with bank‑wide data compliance guidelines.
• Work with DC Lead to develop analytical strategies, present analyses and recommendations in strategic reviews to stakeholders and senior leaders using data‑driven storytelling to drive improvements in the business operations.
• Collaborate and cross‑support IBGO and Ops COO stakeholders in sharing of best practices and data needs.

Requirements

• Bachelor’s Degree in related field such as Business Analytics/Statistics/Banking & Finance.
• Preferably at least 10 years of experience in a business/data analyst function, or related professional experience.
• Proven track record of leading transformational projects and change management, preferred in data analytics and AI/ML field.
• Have leadership capacity to represent Data Chapter in strategy reviews and cross‑functional collaborations/events.
• Experience with people management and leading a team is a big plus.
• Proficient in SQL/Python, data visualisation tools e.g. QlikView/QilkSense, Tableau.
• Possess strong business acumen/knowledge to prioritize business needs and promote effective analysis for respective stakeholders. Experience in a Financial industry would be advantageous.
• Meticulous and analytical to make informed decisions from data; excited to deal with numbers with clear and structured logical thinking.
• Creative problem solver who thrives when presented with a new challenge, while adhering to data compliance guidelines.
• Ability to see beyond the parameters of a single project to identify patterns, risks, trends, and strategic context more broadly within the organization.
• Excellent written and verbal communication skills.