Manager Data Science

American Express

New York, NY

Full Time

Senior

90k-165k

3 days ago

Job Description

About the Role

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. As part of Team Amex, you'll experience this 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. The Manager Data Science role is part of the Analytics, Investment and Marketing Enablement (AIM) team within GCS Marketing Organization, focusing on driving profitable growth through data, analytics, AI-powered targeting, and personalization capabilities. Based out of New York, this role involves proactive retention and save analytics across the SME segment, impacting charge volume of over 2 billion dollars.

Key Responsibilities

Spearheading analytics to drive organic growth strategies comprising of customer retention efforts across marketing and sales channels.
Developing and enhancing precursors in AI models by partnering with Decision Science and collaborating across Marketing, Risk, and Sales to design customized treatments.
Serving as a key analytical partner to the Marketing and Measurement teams to report on digital, field, and phone programs that promote growth and retention.
Supporting GCS partners with actionable, insightful analytical solutions such as triggers and prioritization tiers to help the Field and Phone Sales teams prioritize efforts effectively.
Partnering with functional leaders, strategic business partners, and senior leaders to identify opportunities for better customer engagement and revenue growth.
Engaging, influencing, and inspiring partners and stakeholders through excellent communication skills to drive collaboration and alignment.
Executing and refining analytical frameworks, resolving issues, identifying opportunities, defining success metrics, and driving automation.
Challenging the status quo with breakthrough thinking to generate insights, alternatives, and opportunities for business success.

Requirements

MBA or a master's degree in a quantitative field such as Finance, Engineering, Mathematics, Computer Science, or Economics.
At least 4 years of relevant work experience in marketing analytics.
Strong technical and analytical skills with the ability to apply quantitative methods and business skills to create insights and drive results.
Demonstrated ability to work independently and across a matrix organization, partnering with business, capabilities, technology teams, and external vendors.
Strong programming skills with SQL or Python.
Good knowledge of statistical techniques like hypothesis testing, regression, kNN, t-test, and chi-square test (preferred).

Nice to Have

Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams, and external vendors to deliver solutions at top speed.
Experience with commercial data and the ability to create insights and drive results.

Benefits & Perks

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
20+ weeks paid parental leave for all parents, regardless of gender
Free access to global on-site wellness centers (depending on location)
Free and confidential counseling support through Healthy Minds program
Career development and training opportunities

Working at American Express

Our culture is built on innovation, shared values, and leadership behaviors, with a focus on supporting colleagues' holistic well-being. We foster a flexible work environment through Amex Flex, providing greater flexibility while preserving our in-person culture. We are committed to diversity, inclusion, and equal opportunity employment, supporting colleagues professionally and personally.

Apply Now