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Credit Card Portfolio & Customer Lifecycle Manager

Job in 600001, Chennai, Tamil Nadu, India
Listing for: Ahedge
Full Time position
Listed on 2026-03-10
Job specializations:
  • Management
    Data Science Manager, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 2000000 - 2500000 INR Yearly INR 2000000.00 2500000.00 YEAR
Job Description & How to Apply Below
Job Title:

Credit Card Portfolio & Customer Lifecycle Manager

Location :
Colombo, Sri Lanka

Indicative salary range: INR 20-25 LPA, project duration is expected to be of 18 months. Certain actuals including travel expenses will be reimbursed.  Salary will not be a constraint for the right profile. Logistical support will be provided for a smooth experience.

Minimum of 3+ years of core experience within the Credit Card industry is mandatory for this role

Position Overview
We are seeking an experienced leader to oversee credit card portfolio optimization, customer lifecycle management, and campaign strategies. This role requires strong analytical expertise, product segmentation skills, and the ability to lead cross-functional teams to drive sustainable growth, loyalty, and risk management.

Key Responsibilities
Lead portfolio optimization initiatives, ensuring profitability and customer value.
Oversee data analysis and product segmentation strategies to identify growth opportunities.
Direct campaign management, ensuring effective targeting, execution, and ROI measurement.
Design and manage loyalty solutions to enhance customer engagement and retention.
Collaborate with risk teams to monitor and mitigate credit card losses.
Drive customer lifecycle strategies across acquisition, activation, usage, and retention.
Mentor and guide analysts, ensuring best practices in data handling and insights generation.

Qualifications
Master’s degree in business, Finance, Marketing, or Data Science preferred.
8–12 years of experience in credit card portfolio management, customer lifecycle, and campaign leadership.
Expertise in advanced data analysis tools (SQL, Python/R, Tableau, Power BI).
Strong background in product segmentation (cluster analysis, RFM, behavioural segmentation).
Proven leadership and stakeholder management skills.

Key Competencies
Strategic leadership and decision-making.
Ability to balance growth with risk management.
Strong collaboration across business, risk, and analytics teams.
Customer-centric mindset with innovation in loyalty and lifecycle strategies.
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