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 will experience this powerful backing with comprehensive support for your holistic we'll-being and many opportunities to gain experience 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.
Enterprise Data Management & Products (EDMP), a key part of our Technology organization, focuses on delivering data products that fuel business growth and unlock value, while also shaping robust data management strategies and governance solutions. Our aim is to propel growth, unlock potential, enhance efficiency, manage risk, and foster talent. By prioritizing enterprise growth across all sectors, we create solutions that enhance satisfaction and value, streamline operations for scalability, and maintain trust and security.
Role Descriptions:
A key enabler of this vision is a deep understanding of our customers both individuals and businesses through a holistic and unified view. This role is a critical component of EDMP and supports Customer 360, an enterprise-wide capability that provides a global view of entities and serves as the system of record for demographic data across American Express. Customer 360 is transforming our data ecosystem and redefining how we engage with customers by leveraging Amex s industry-leading data assets, advanced machine learning models, and next-generation Big Data technologies.
We are seeking an accomplished and strategic leader to join as the Director - Data Analytics, C360. The ideal candidate will be a visionary problem-solver with deep expertise in data strategy, analytics, and governance. Key responsibilities include developing deterministic matching frameworks, designing data roll-up and arbitration strategies, conducting internal and external data evaluations, and leading analytical initiatives in support of the Financial Crimes Risk Management program. This role will also collaborate closely with platform owners to deploy data science solutions that enhance global customer matching, enrich data quality, and improve overall accuracy.
Primary Responsibilities:
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Design and develop advanced matching algorithms and frameworks
to support entity resolution and deterministic linkages.
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Lead internal and external data evaluations
to identify enrichment opportunities and enhance data quality.
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Own end-to-end analytical delivery
for the Financial Crimes Risk Management program, ensuring actionable insights and operational excellence.
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Monitor and assess data quality and algorithmic outputs,
establishing systematic processes to identify and address gaps in existing models and workflows.
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Provide strategic and technical thought leadership
to product owners and technology leads on platform architecture, ensuring seamless integration of data science solutions.
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Collaborate with product and technology teams in an Agile environment
to deploy scalable and production-ready data science models and frameworks.
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Maintain an external perspective
on emerging technologies, industry best practices, and regulatory trends to guide business and technical strategy.
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Drive new initiatives
by developing project plans, analytical frameworks, and execution roadmaps to support organizational priorities.
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Build, mentor, and lead a high-performing team
focused on innovation, collaboration, and delivery excellence.
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Contribute to attracting and hiring top-tier talent
for both the C360 team and the broader EDMP organization.
Qualifications:
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7+ years of experience
in designing, developing, and deploying large-scale data science and analytics solutions.
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bachelors or masters degree
in Computer Science, Information Technology, Mathematics, Statistics, or a related quantitative discipline.
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Excellent communication and influencing skills
with a proven ability to engage, align, and inspire cross-functional partners and senior stakeholders.
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Proven leadership experience
in building, leading, and motivating high-performing teams with diverse technical and analytical skills.
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Hands-on experience
in conceptualizing and developing entity resolution and deterministic matching algorithms or frameworks.
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Strong technical background
with expertise in Big Data ecosystems and tools such as Hive and Python.
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Demonstrated ability
to apply analytical rigor and solution-oriented thinking to deliver scalable, production-grade solutions in complex product environments.
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Experience delivering and implementing complex data products
that drive measurable business impact.
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Exceptional program management, analytical, and problem-solving skills
with the ability to balance strategic vision and execution.
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Ability to operate in ambiguity
and conceptualize abstract solutions to loosely defined problems.
We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally:
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Competitive base salaries
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Bonus incentives
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Support for financial-we'll-being and retirement
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Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
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Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
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Generous paid parental leave policies (depending on your location)
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Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location)
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Free and confidential counseling support through our Healthy Minds program
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Career development and training opportunities
