Job Details

Job Information

Manager-Data Analytics
AWM-2706-Manager-Data Analytics
5/8/2025
5/13/2025
Negotiable
Permanent

Other Information

www.amex.com
New York, NY, 10176, USA
New York
New York
United States
10176

Job Description

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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.

How will you make an impact in this role?

The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. It is the analytical engine that powers profitable business growth through consultative and innovative solutions across GCS. AIM in India is a high performing team and strong partner to the Global Commercial Marketing business. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.

This Manager role would be based in New York and would be focused on driving sentinel Analytics spanning across customer lifecycle. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable acquisitions for the commercial business. S/he will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.

A very important focus for the role shall be leveraging data science, quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business. This role will support the Director based out of US and would serve as a key interface between various stakeholders – the functional channel owners, the business partners, and end-users of data science driven targeting & personalization solutions. The position will focus on Lifestyle gaming prevention.

Key Responsibilities include:

  • The position will focus on Lifestyle gaming prevention.

  • Effectively engage and deliver results in a cross-functional collaborative environment, i.e., in partnership with key stakeholders including the functional channel owners, the business partners/end-users of data science solutions and technology partners.

  • Explore usage and implementation of data mining techniques, including regression analysis, clustering, decision trees, neural networks, and NLP solutions.

  • Exceptional execution skills – be able to resolve issues, identify opportunities, define success metrics, and make things happen.

  • Comfortable in ambiguity and creating structure and strategies in white space.

  • Prioritizing efforts to help the team focus on the most impactful opportunities.

  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.

  • High degree of organization, individual initiative, and personal accountability.

Minimum Qualifications

  • Hands on exposure to data science tools & techniques such as Big Data, PySpark, Hive, Scala, Python is required.

  • Master’s degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or PhD is required.

  • Ability to learn and quickly adapt around ever evolving analytics landscape is preferred.

  • Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.

  • Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.

  • Ability to interact effectively and deliver compelling messages to business leaders across various band levels.

  • Demonstrated ability to work independently and across a matrix organization partnering with cross-functional teams and external vendors to deliver solutions with agility.

  • Demonstrated ability / proven track record of converting business needs into analytical plans and meticulous follow-up.

  • Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.

  • Ability to project-manage effectively, manage several concurrent projects through collaboration across teams/geographies.

Qualifications

Salary Range: $90,000.00 to $165,000.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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

  • 6% Company Match on retirement savings plan

  • Free financial coaching and financial well-being support

  • Comprehensive medical, dental, vision, life insurance, and disability benefits

  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

  • 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

  • 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Job: Data Mgmt and Analytics

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 25006376

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