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About the Role
You are a key analytics leader within the Technology Business Enablement (TBE) organization, responsible for transforming complex business challenges into actionable insights that drive product strategy and operational excellence. You will partner closely with Product, Technology, and Business leaders to identify opportunities, frame ambiguous problems, develop analytical approaches, and influence strategic decisions through data. Success in this role requires more than technical expertise; you must be naturally curious, demonstrate strong business judgment, challenge assumptions with evidence, and communicate complex analytical findings in a way that enables confident executive decision-making. You will leverage modern analytics, machine learning, generative AI, and business intelligence capabilities while maintaining a strong focus on delivering measurable business outcomes.
Responsibilities
- Lead complex and ambiguous business problems from definition through recommendation by developing structured analytical approaches.
- Frame business questions into measurable hypotheses and identify the data required to validate assumptions.
- Conduct root cause analysis across product, operational, and portfolio performance challenges, synthesizing multiple data sources into actionable recommendations.
- Evaluate competing priorities using quantitative analysis, business context, customer impact, and strategic objectives.
- Challenge assumptions by using data to validate or disprove existing beliefs while encouraging evidence-based decision making.
- Influence product strategy by providing analytical recommendations that balance customer experience, operational efficiency, technical feasibility, and business value.
- Partner with Product Managers, Engineering, and Business stakeholders to define meaningful success metrics, KPIs, OKRs, Portfolio Metrics, Productivity Metrics, Agility Metrics, Capacity, and Demand Metrics.
- Support roadmap planning through analytical insights that inform prioritization and investment decisions.
- Participate throughout the Agile delivery lifecycle, contributing to Program Increment planning, backlog refinement, and feature prioritization.
- Translate customer, operational, and portfolio data into actionable recommendations that improve product outcomes.
- Design, develop, and deploy advanced analytics solutions using Python, Power BI, SQL, APIs, and modern cloud-based analytics platforms.
- Build and operationalize machine learning models using regression, classification, and predictive analytics techniques.
- Develop AI-powered automation workflows utilizing approved Generative AI capabilities, LLMs, Retrieval Augmented Generation (RAG), LangChain, vector databases, embeddings, and Agentic AI frameworks.
- Evaluate AI use cases based on measurable business value, scalability, and operational risk.
- Contribute to AI governance, model monitoring, and responsible AI implementation.
- Build trusted partnerships across Product, Technology, Architecture, Operations, and Business teams.
- Influence decisions through compelling storytelling, executive-ready presentations, and evidence-based recommendations.
- Facilitate discussions that align diverse stakeholder perspectives into shared priorities.
- Promote a culture where hypotheses are tested, assumptions are challenged, and decisions are grounded in data.
Requirements
- Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, Information Systems, or related field required.
- Four or more 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.
Skills
- Python
- SQL
- Power BI
- Data Modeling
- APIs
- Advanced Excel
- Machine Learning
- Statistical Analysis
- Cloud Analytics Platforms (GCP/LUMI)
- AI/ML Frameworks
- Business Intelligence
- Workflow Automation
- Data Visualization
- Large Language Models (OpenAI, Claude)
- Retrieval Augmented Generation (RAG)
- LangChain
- LangGraph
- Vector Databases
- Embeddings (OpenAI, BGE, TF-IDF, GloVe)
- Agentic AI Frameworks
- AI Evaluation and Monitoring
Work Type
- hybrid
- onsite
- virtual
Experience Level
- Four or more years of experience
Education Level
- Bachelor's Degree
- Master's degree preferred
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 paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
About the Company
- 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.
Equal Opportunity
- 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.
- American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
- For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
- US Job Seekers - Click to view the “Know Your Rights poster.