American Express

Manager - Data Science

Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Description:

The Analytics, Investment and Marketing Enablement (AIM) team – a part of GCS Marketing Organization – is the analytical engine that enables the Global Commercial Card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.

This B35 role would be a part of AIM India team, based out of Gurgaon, and would be responsible for proactive retention and save a card analytics across the SME segment across marketing and sales distribution channels.  This critical role represents a unique opportunity to make charge volume impact of 2+ Billion.

The ideal candidate can drive strategic decision making and execute new strategies via advanced analytics, disciplined test & learn, and effective partnership. The position is part of a highly collaborative environment, interacting with and influencing partners across GCS at American Express.

Key Responsibilities include:

  • Spearheading analytics to drive organic growth strategies comprising of customer retention efforts across marketing and sales channels.
  • Develop/enhance precursors in AI models partnering with Decision science and collaborate across Marketing, Risk, and Sales to help design customized treatments depending upon the precursors.
  • Be a key analytical partner to the Marketing and Measurement teams to report on Digital, Field and Phone Programs that promote growth and retention.
  • Support and enable the GCS partners with actionable, insightful analytical solutions (such as triggers, Prioritization Tiers) to help the Field and Phone Sales team prioritize efforts effectively.
  • Partner with functional leaders, Strategic Business Partners, and Senior leaders to assess and identify opportunities for better customer engagement and revenue growth.
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
  • Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
  • Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
  • Strong people leader who can lead, motivate, and coach the team and is able to foster a collaborative team environment. Prioritizing efforts to help the team focus on the most impactful opportunities.

Minimum Qualifications:

  • MBA or a master’s degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics)
  • At least 3 years of relevant work-experience
  • Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
  • Demonstrated ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors
  • Strong programming skills

Preferred Qualifications:

  • Good knowledge of statistical techniques like hypothesis testing, regression, knn, t-test, chi-square test
  • Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed. Experience with commercial data and ability to create insights and drive results

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • Competitive base salaries 
  • Bonus incentives 
  • Support for financial-well-being and retirement 
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
  • Generous paid parental leave policies (depending on your location) 
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
  • Free and confidential counseling support through our Healthy Minds program 
  • Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.


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