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.
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 UsAt 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 TeamWe 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.
Skills Required
- Relevant experience in data science
- Knowledge of Hive, Python, PySpark, SQL, ChatGPT
- Familiarity with decision trees and statistical modeling/data-mining techniques
- Strong analytical skills to diagnose business needs and drive insights and recommendations
- Know-how of Generative AI techniques and ability to integrate GenAI with business solutions
- Prompt engineering and advanced analytics/big data capabilities
- Strong communication skills to engage and influence business leaders
- Able to independently manage cross-functional collaboration and drive execution
- Proven track record developing novel analytical solutions that optimize business processes or products
- Experience in advanced GenAI techniques, marketing/acquisition analytics or relevant industry experience
- Bachelor's or Master's degree in a quantitative field (e.g., B.Tech, BSc/MSc Statistics)
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
