American Express

1 day ago

Senior Manager-Data Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead paid media analytics that drives audience targeting, personalization, and prospect conversion across the digital journey. Develop data products and scalable analytical solutions using first-party data, experimentation, and decisioning strategies. Build ML models (e.g., XGBoost, K-Means) and apply emerging AI/GenAI techniques to improve targeting precision and analytical productivity. Partner with business, digital, and technology teams to implement insights and optimize media performance.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Develop analytical solutions and data products to improve targeting accuracy, personalization, and digital acquisition performance.
•Lead end-to-end analyses across audience segmentation, experimentation, funnel optimization, and acquisition opportunity identification.
•Build and enhance models and decisioning strategies using first-party data and digital intelligence capabilities.
•Apply AI and GenAI techniques (e.g., intelligent customer journey optimization, semantic modeling, automated insights) to improve targeting and analytical productivity.
•Drive experimentation and performance measurement, designing test structures and optimizing investment to improve conversion and efficiency.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceDisability BenefitsParental Leave

Key Requirements

•Strong analytical and problem-solving skills working through complex, ambiguous business questions.
•Experience building ML models (e.g., XGBoost, K-Means) using SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
•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.
•Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.

Experience:Digital marketingPaid media

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationCollaborationPrioritization

Tech Stack:XGBoostK-MeansSQLPythonA/B testingAIGenAIClickstream analyticsIdentity frameworksReal-time recommender systemsDSPsCleanrooms

Eligibility

Work Authorization:Sponsorship available.

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

1 day ago

Senior Manager-Data Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Develop analytical solutions and data products to improve targeting accuracy, personalization, and digital acquisition performance.
•Lead end-to-end analyses across audience segmentation, experimentation, funnel optimization, and acquisition opportunity identification.
•Build and enhance models and decisioning strategies using first-party data and digital intelligence capabilities.
•Apply AI and GenAI techniques (e.g., intelligent customer journey optimization, semantic modeling, automated insights) to improve targeting and analytical productivity.
•Drive experimentation and performance measurement, designing test structures and optimizing investment to improve conversion and efficiency.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVision401kPaid LeaveLife InsuranceDisability BenefitsParental Leave

Key Requirements

•Strong analytical and problem-solving skills working through complex, ambiguous business questions.
•Experience building ML models (e.g., XGBoost, K-Means) using SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
•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.
•Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.

Experience:Digital marketingPaid media

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationCollaborationPrioritization

Tech Stack:XGBoostK-MeansSQLPythonA/B testingAIGenAIClickstream analyticsIdentity frameworksReal-time recommender systemsDSPsCleanrooms

Eligibility

Work Authorization:Sponsorship available.

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn