Job Description

The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI.

Within AIM, the Paid Search Analytics – GCS Digital Acquisitions team is focused on driving efficient acquisition through Paid Search by leveraging advanced analytics, audience insights, experimentation, bid optimization, and measurement. The team partners closely with marketing, product, technology, and platform teams to optimize search performance and maximize business outcomes.

The team is responsible for developing data-driven strategies that improve targeting, bidding, and efficiency. In addition to driving day-to-day performance optimization, the team is focused on building next-generation acquisition capabilities by leveraging AI and GenAI to enhance audience targeting, bidding strategies, search insights, automation, and decision-making.

How will you make an impact in this role

In this role, you will drive customer acquisition and business growth through data-driven Paid Search strategies, optimization, and measurement. You will leverage advanced analytics, experimentation, and AI/GenAI-powered capabilities to improve targeting, bidding, and campaign efficiency while delivering scalable growth. Additionally, you will partner with multiple stakeholders across marketing, product, technology, and platform teams to develop and execute strategic initiatives that maximize business impact.

Responsibilities

Develop analytical solutions, measurement frameworks, and data products that improve targeting accuracy, audience activation, and digital acquisition performance across Paid Search.
Leverage structured and unstructured data to generate actionable insights and identify opportunities to improve acquisition efficiency and customer quality.
Apply AI and GenAI techniques, including automated insights generation, semantic analysis, customer intent modeling, and search intelligence, to improve decision-making and analytical productivity.
Drive experimentation, performance measurement, and investment optimization by designing tests, evaluating results, and translating findings into actionable recommendations.
Analyze Paid Search bidding algorithms and auction dynamics to identify opportunities for improving campaign performance, visibility, and acquisition outcomes.
Monitor the evolving search landscape, including emerging AI-powered search experiences and LLM-driven discovery platforms, and recommend strategies to enhance AMEX's visibility and acquisition effectiveness.
Partner closely with marketing, product, technology, and platform teams to implement analytical solutions and ensure measurable business impact.

Qualifications

Master's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
1-3 years of professional work experience in Data Science and Analytics domain
Experience working with LLMs and in building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems
Excellent written and oral communication skills

Preferred Qualifications

Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc.
Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.
Strong communication skills with the ability to influence partners and drive action.

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
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

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.

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

Senior.Analyst-Data Science (SQL, Python, Gen AI)