Manager - Data Analytics

American Express
New York, Phoenix
Full timeUSD 103,750 - 174,750 annuallyFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsEducation: bachelorsSkills: ["Analytical excellence","Business judgment","Stakeholder management","Communication","Innovation"]

Lead data analytics initiatives within Technology Business Enablement by transforming complex, ambiguous business problems into actionable insights. Partner with Product, Technology, and Business leaders to define measurable success metrics (KPIs/OKRs), drive product strategy recommendations, and deliver analytical outcomes through modern analytics, machine learning, and business intelligence. Contribute to responsible AI implementation, including model monitoring and evaluation, while influencing cross-functional decisions with executive-ready communication.

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American Express
American Express
1 day ago

Manager - Data Analytics

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Job Summary

Lead data analytics initiatives within Technology Business Enablement by transforming complex, ambiguous business problems into actionable insights. Partner with Product, Technology, and Business leaders to define measurable success metrics (KPIs/OKRs), drive product strategy recommendations, and deliver analytical outcomes through modern analytics, machine learning, and business intelligence. Contribute to responsible AI implementation, including model monitoring and evaluation, while influencing cross-functional decisions with executive-ready communication.
Location: New York, Phoenix
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Lead complex and ambiguous business problems from definition through recommendation using structured analytical approaches and root cause analysis.
  • •Partner with Product Managers and Business stakeholders to define success metrics (KPIs/OKRs and portfolio/productivity metrics) and inform roadmap planning.
  • •Design, develop, and deploy advanced analytics solutions using Python, Power BI, SQL, APIs, and cloud analytics platforms.
  • •Build and operationalize machine learning and AI-powered automation workflows using LLMs, RAG, LangChain, vector databases, embeddings, and agentic AI frameworks.
  • •Contribute to AI governance, model monitoring, and responsible AI implementation; influence strategic decisions with executive-ready communication.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveCounseling Support

Key Requirements

  • •Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, Information Systems, or related field required.
  • •4+ years of experience in Data Analytics, Product Analytics, Data Science, Business Intelligence, or related analytical disciplines.
  • •Experience working within Agile software delivery environments.
  • •Demonstrated success influencing cross-functional teams through data-driven recommendations.
  • •Experience managing complex initiatives involving multiple stakeholders and competing priorities.
Experience:4+ years
Education:Bachelor's
Skills:Analytical excellenceBusiness judgmentStakeholder managementCommunicationInnovation
Tech Stack:PythonSQLPower BIAPIsAdvanced ExcelData ModelingMachine LearningStatistical AnalysisGCPLUMICloud analytics platformsAI/ML frameworksBusiness IntelligenceWorkflow AutomationData VisualizationLarge Language ModelsOpenAIClaudeRetrieval Augmented Generation (RAG)LangChain

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
WebsiteLinkedIn