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

Business Function

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.

• 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.

• 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, preferrable 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.