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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.

As marketers at one of the most iconic brands in the world, we play a major role in building authentic relationships with customers who impact life and business around the world. Here, creativity and inspired storytelling combine with powerful data-based marketing and hyper-personalized digital communication to create a genuine human connection that drives business results. As a part of our diverse community of marketers, you can have a breadth of different marketing experiences and do virtually anything from connecting small businesses to new customers to uncovering insights that inspire the future of payments. Create a dynamic career while doing work that matters for people and businesses everywhere. Find your place in marketing on #TeamAmex.

How will you make an impact in this role?

This Manager, Data Science position is a key role to lead company-wide(Japan) data analytic/science projects by developing and implementing strategic plan, ensuring alignment with the company priorities and long term goals, contributing to the business growth. Data Science Manager will join working groups formed by senior management to develop digitization in the market as a key SME in Data Science area for the success of projects in the future.

A successful candidate will cover broad areas of data science, data engineering by accessing to market big data, company's main frames and customer data platforms. The scope of work will cover Consumer card customer profiles, new card acquisitions, servicing areas and merchant data for marketing and others. The candidate need to facilitate communication and collaboration between the Data Science team and other departments ( including Central of Excellence Team(CoE)) to ensure effective execution of data-driven initiatives/projects.

More specifically this Manager, Data Science role, will be responsible for:

• Responsible and accountable to manage and execute multiple medium to large analytic projects along with rest of the stakeholders in Marketing team and CoE team.

• Defining detailed analytic scope, methodology, and creating an analytic plan.

• Proactively seek out opportunities to improve processes and technologies.

Minimum Qualifications

• Minimum of 7- 10 years of experience working in analytics, business intelligence, data science or related equivalent experience.

• Experience in Digital Analytics, BI , Digital tools.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information into details and accuracy, create executive summaries and deliver business insights.

• Strong interpersonal and communication skills to facilitate cross-functional collaboration.

• Experience in people/team management.

• Both Japanese (business level), English (business level) language skills required.

Preferred Qualifications

• Hands-on experience with analytics, statistics, data visualization, and analytics tools- Proficiency in processing large data set using Hive and related tools.- Advanced experience with Advance Analytics Tools/language (Python, SQL, R etc)- Experience with Statistical packages and Visualization Tools (PowerBI, Tableau etc)- Experience with machine learning techniques : clustering, liner & logistic regression, neural networks etc.

• Plus would be considered : - Experience in forecasting and predictive models- Unix/Linux proficiency : command line tools. Shell scripting- Experience in reporting automation

Qualifications

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

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

Job: Technologies

Primary Location: Japan-Tokyo-Minato-ku

Schedule Full-time

Req ID: 23011623