VP, Team Lead, Data/Business Analyst , Consumer Banking Group Singapore Data

DBS Bank Limited; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a seasoned analytics leader to drive data-driven solutions for their Credit Card Business. In this pivotal role, you will lead a team of business analysts, leveraging your extensive experience to uncover growth opportunities and enhance customer engagement through data insights and AI. Your expertise will guide strategic discussions with stakeholders, ensuring that data maximizes its value in decision-making processes. This role is perfect for someone passionate about transforming the banking landscape through innovative data solutions and fostering a culture of analytical excellence.

Qualifications

• 10+ years of analytics experience with deep knowledge of credit card products.
• Proficiency in data analytics techniques and coding.

Responsibilities

• Lead data-driven decision making for the Credit Cards Portfolio.
• Collaborate with teams to enhance customer experience and develop strategies.

Skills

Data Analytics

Machine Learning

Problem Solving

SQL

Python

Data Visualization

Education

Bachelor's Degree

Tools

Qliksense

Pyspark

Job description

Business Function

The Consumer Banking Group Data Chapter is committed to building a data-driven organization and maximizing key data capabilities to transform how CBG does business. Data impacts CBG’s daily operations, and fostering a culture of data and business intelligence will enable exponential growth.

About the role

Lead a team of business analysts providing data-driven solutions to the Credit Card Business. The role involves identifying growth opportunities and helping the business meet KPIs through analytical insights and AI. Engage in strategy discussions with stakeholders and senior management. Responsibilities include delivering data requests such as deep-dive analysis, simulations, developing Control Towers, and dashboards. As a team lead, you will handle resource planning and quantify the value delivered. Your expertise will drive adoption of Control Towers for decision-making and promote learning through experiments.

Responsibilities

1. Lead data-driven decision making for the Credit Cards Portfolio.
2. Understand credit card products and the consumer credit lifecycle—origination, activation, management, and retention/attrition.
3. Understand various aspects of card payments and processes—payment methods, channels, transaction types, etc.
4. Comprehend customer engagement methods—prospecting, click-through journeys, portfolio management, etc.
5. Collaborate with Product, Marketing, Risk, Regional, Finance, and Operations teams to develop strategies, build seamless customer journeys, and enhance customer experience.
6. Create customer and business impact insights.
7. Utilize the Data Driven Operation Model (DDOM) to maximize data value and drive business impact with product partners.
8. Drive cognitive and automated banking initiatives through machine learning models and automation of control towers.
9. Identify key trends, provide insights on performance and causality, and explore opportunities to deepen customer engagement.
10. Be customer-obsessed by understanding consumer needs and preferences; analyze customer behavior; design campaigns/experiments to improve engagement and marketing effectiveness.

Requirements

Thought Leadership and Business Knowledge

• Bachelor's degree (or higher) with 10+ years of analytics experience and deep knowledge of credit card products.
• Experience in data management and analytics within banking, fintech, or financial consulting industries (preferred but not mandatory).
• Understanding of analytics strategies and models for business readiness and applicability.
• Ability to engage in expert dialogues with stakeholders and product partners.

Technical Skills

• Proficiency in data analytics techniques: descriptive, predictive, prescriptive, ML, and AI.
• Strong analytical and problem-solving skills; highly numerate with attention to detail and accuracy.
• Proficiency in coding and data querying.
• Knowledge of SQL, Python, Pyspark (preferred).
• Familiarity with data visualization tools such as Qliksense (preferred but not mandatory).

Interpersonal Skills

• Self-starter with a growth mindset; open to organizational transformation.
• Effective communication and presentation skills; able to explain complex concepts simply and handle difficult conversations tactfully.
• Leadership and collaboration skills; capable of guiding teams and working effectively in cross-functional settings.