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 we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in analytics on #TeamAmex.

How will you make an impact in this role?

Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.

The Senior Manager will play a critical role in supporting the development of growth and data-driven strategies to improve portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing data-driven solutions.

This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, Finance, and Analytics teams to drive growth in the sales organization.

Responsibilities:

• Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Deliver sophisticated analyses independently; Leverage predictive modeling to identify tactics for optimization and conceptualize opportunities. Develop insights into Sales agent and client behavior and introduce new approaches to transform complex behavioral data into actionable information.

• Technical Skills: Have outstanding knowledge of Hive, SQL, and Python encompassing data manipulation and statistical modeling/data-mining techniques. Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus. Range of delivery from measurement packages and business analytics to advanced machine learning models and algorithms.

• People Leadership: Lead a high-performing cross-geographical team of data scientists.

• Superb Communicator: Ability to drive alignment among customers and key partners; Ability to write compelling messages addressed to various audiences/levels within the organization.

• Strategic Mentality: Self-motivated individual who can problem-solve and think critically, to develop concrete insights backed by data and analytics; Find opportunities to strengthen business performance

• Results Driven: High level of accountability and ability to address ambiguous challenges; adaptable to evolving priorities and rapid change

• Out of the Box Thinking: Challenge status quo, innovate, and harbor strong curiosity. Ability to learn quickly and work independently with sophisticated, unstructured initiatives. Creativity to go beyond current tools to deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects

• Multi-Disciplinary Leadership: Ability to lead multiple and sophisticated work streams, and to work across departmental boundaries and deliver a diverse set of initiatives that result in impactful outcomes

Minimum Qualifications:

• 2-4 years of relevant work experience

• Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Computer Science, Mathematics, Engineering)

• Strong working knowledge of analytics, data mining, machine learning techniques, and understanding of data processing. Ability to address performance issues and to manipulate both structured and unstructured data

• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights

• Proficient coding experience in Python/SQL, experience with Hadoop and Spark is a plus

• Proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.)

• Experience in Big Data environment, inclusive of data mining techniques.

• Strong interpersonal, written, and verbal communication skills

• Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)

• Proven track record of independently developing novel analytical solutions optimizing business processes

• Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills

• Ability to deliver results, work independently, and prioritize tasks

• Self-starter who thrives in an evolving, dynamic environment

Preferred Qualifications:

• Masters/PhDs in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, Physics, Operation Research, Engineering and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.

• 2 years’ experience of applying machine learning techniques to real business problems

• Experience leading teams – ideally across 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.

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: Marketing

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 24011181