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American Express

Manager-Data Science

Posted 4 Days Ago
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Hybrid
New York, NY, USA
Senior level
Hybrid
New York, NY, USA
Senior level
Lead US prospect and customer analytics for commercial sales channels using GenAI, data science, and big data. Deliver strategic analyses, build ML solutions (segmentation, lead prioritization, decisioning), drive partner alignment, and ensure insights are operationalized to increase acquisition revenue.
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The Analytics, Investment & Marketing enablement (AIM) team – is the analytical engine that enables the Global Commercial Services (GCS) card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.

This Manager - Data Science role would be responsible for US Prospect or Customer Analytics for sales channels. The incumbent will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through prospect acquisitions. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service's business at American Express. The role will require the incumbent to drive not only sophisticated analysis but also heavy partner management through thought-leadership.

A very important focus for the role shall be 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 B40 leader and would serve as a key interface between various partners – the functional channel owners, the business partners and end-users of analytical solutions and technology partners.

Responsibilities
  • Spearheading analytics to drive commercial acquisitions in sales channels for US market using GenAI, data science, big data capabilities and advanced analytical techniques.
  • Enable decision making across channels and markets by exploring big data and advanced analytics techniques which includes creating segmentation logic, prompt engineering, traditional ML techniques for prioritization of leads and lead intelligence arbitration.
  • Support and enable the GCS partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
  • A self-initiator who is quick to understand the business and support pilot projects amidst ambiguity.
  • Independently manage cross-collaboration among marketing, sales, capabilities, and modeling teams to ensure analytics and data science-based strategies are appropriately incorporated and timely deployed / tracked.
  • Exceptional execution skills – be able to resolve issues, find opportunities, and define success metrics and make things happen.
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
  • Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
Qualifications

Minimum Qualifications

  • Relevant experience in data science
  • Knowledge of Hive, Python, PySpark, SQL, ChatGPT encompassing data manipulation and statistical modeling/data-mining techniques and knowledge of decision trees
  • Strong analytical skills: Applying analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions. Drive insights and recommendations on marketing and product solutions.
  • Know-how of GenAI techniques to automate and innovate on current processes and should be able to integrate GenAI techniques with current business solutions to drive marketing efficiency.
  • Strong communication skills enabling ability to interact effectively with business leaders and to present structured and compelling messages addressed to various levels within the organization
  • Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items
  • Passion for data science and machine learning: Proven track record of independently developing novel analytical solutions optimizing business processes or product constructs

Preferred Qualifications:

  • Experience in Advanced GenAI techniques, marketing/acquisition analytics/data science; relevant industry experience preferred
  • Bachelor's or Master's degree in a quantitative field - e.g. B. Tech; BSc/MSc Statistics

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.

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About the Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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 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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The below 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.​
HQ

American Express New York, New York, USA Office

World Financial Center, New York, NY, United States, 10285

American Express Hoboken, New Jersey, USA Office

Hoboken, United States

American Express Jersey City, New Jersey, USA Office

Jersey City, United States

American Express New York, New York, USA Office

200 Vesey St, New York, NY, United States, 10281

American Express New York, New York, USA Office

New York, United States

American Express Roseland, New Jersey, USA Office

Roseland, United States

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