Senior Manager-Data Analytics
About The Position
The Senior Manager, Data Analytics will lead analytical work that supports Paid Media strategy for commercial audiences within American Express Global Commercial Services. The role is part of the Paid Media Analytics team, which supports strategy, analytics, and optimization across platforms, partnering with Marketing to improve audience targeting and media performance and develop new capabilities using data, advanced analytics, and emerging AI. The position designs and implements data-driven strategies, builds scalable analytical solutions, and collaborates across business, digital, and technology teams to optimize targeting, personalization, and prospect conversion. It focuses on digital marketing analytics, audience strategy, and using emerging AI and GenAI techniques to improve Paid Media outcomes.
Requirements
- Strong analytical and problem-solving skills, including experience addressing complex and ambiguous business questions.
- Experience building machine-learning models such as XGBoost and K-Means, and proficiency with SQL, Python, or similar analytical tools.
- Ability to translate data into insights and clearly communicate recommendations to business partners.
- Experience collaborating with cross-functional teams and influencing decisions through data-driven insights.
- Ability to manage multiple priorities in a fast-paced, dynamic environment.
Nice To Haves
- Master’s degree in a quantitative field such as Engineering, Mathematics, Finance, Computer Science, Statistics, or Economics.
- Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
- Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems.
- Familiarity with the Paid Media ecosystem, including DSPs, audience activation, and cleanrooms.
- Interest in applying emerging AI and GenAI capabilities to improve digital targeting outcomes.
- Experience designing and analyzing A/B tests, optimizing digital funnels, or improving performance through data-driven experimentation.
- Strong communication skills and ability to influence partners and drive action.
- Knowledge of digital analytics or experimentation frameworks.
Responsibilities
- Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the digital journey.
- Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identifying acquisition opportunities.
- Build and enhance models and decisioning strategies using American Express first-party data and evolving digital intelligence capabilities.
- Apply emerging AI and GenAI techniques, including intelligent customer journey optimization, semantic modeling, and automated insights, to improve targeting precision and analytical productivity.
- Drive experimentation, performance measurement, and investment optimization by designing tests, evaluating results, and recommending improvements to conversion and efficiency.
- Collaborate with cross-functional partners across American Express to implement analytical solutions and deliver business impact.
- Synthesize insights and communicate findings and strategic implications to leaders and stakeholders.
- Promote innovation and continuous improvement through new digital analytics ideas, advanced modeling techniques, GenAI use cases, and scalable data automation.
Benefits
- 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 of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy.
- Free access to global onsite wellness centers staffed with nurses and doctors, depending on location.
- Free and confidential counseling support through the Healthy Minds program.
- Career development and training opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
