Experienced Senior Data Architect – Voice of the Customer Methodology Transformation and Innovation
About American Express At American Express, we're committed to delivering exceptional customer experiences that exceed expectations. With a rich history of innovation and a passion for excellence, we're shaping the future of financial services. Our company culture is built on a foundation of integrity, teamwork, and a relentless pursuit of innovation. We believe that every individual has a unique perspective and contribution to make, and we're dedicated to creating an inclusive and supportive work environment that fosters growth, learning, and success. About the Role We're seeking an experienced Senior Data Architect to join our team and lead the transformation and innovation of our Voice of the Customer (VOC) methodology. As a key member of our Customer Listening Team, you'll play a critical role in shaping the future of our customer experience strategy. If you're passionate about data-driven decision making, have a strong background in data architecture, and are excited about the opportunity to drive business growth, we want to hear from you. Key Responsibilities Collaborate with cross-functional teams to outline, design, and implement business requirements for our VOC methodology. Develop and maintain a deep understanding of Voice of the Customer methods and leverage this knowledge to inform and transform data within our Cornerstone Large Data Platform. Design and build robust data model architecture to support high-performance data processing and standardized metric definitions. Develop and implement large-scale data analytics and batch/real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions that ensure data quality and accuracy through intensive testing at various use case levels. Provide guidance to improve competencies to drive efficiency in computing programs using large data ecosystems. Power consumer tale evaluation & elaboration, design and development of software programs, checking out & builds automation tools. Proactively identify and automate repetitive tasks to improve best and efficiency. Work closely with colleagues from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of the VOC cease-to-quit technique. Essential Qualifications To be successful in this role, you'll need: Hands-on experience with Hive/Hadoop, Pyspark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks for a span of no less than 3+ years. Energetic collaboration with dating managers/product owners to expertise functional requirements and converting them into technical deliverables. Familiarity with Agile methodologies of delivery, where small increments of a product are introduced at daily intervals to business groups. Preferred Qualifications We're looking for candidates with: Experience working with large-scale data ecosystems and transformational technologies. Strong understanding of data architecture, data modeling, and data warehousing. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with data visualization tools and techniques. Strong analytical and problem-solving skills, with the ability to interpret complex data and drive business insights. Skills and Competencies To succeed in this role, you'll need to demonstrate: Strong technical skills, with a focus on data architecture, data modeling, and data warehousing. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Strong analytical and problem-solving skills, with the ability to interpret complex data and drive business insights. Ability to work in a fast-paced environment, with multiple priorities and deadlines. Strong attention to detail, with a focus on quality and accuracy. Career Growth Opportunities and Learning Benefits We're committed to helping our employees grow and develop their careers. As a Senior Data Architect, you'll have access to: Regular training and development opportunities, including workshops, conferences, and online courses. Mentorship and coaching from experienced colleagues. Opportunities to work on high-visibility projects and contribute to business growth. A collaborative and supportive work environment, with a focus on teamwork and innovation. Work Environment and Company Culture We're proud of our company culture, which is built on a foundation of: Integrity: We operate with transparency, honesty, and ethics. Teamwork: We collaborate and support each other to achieve our goals. Innovation: We're committed to driving innovation and excellence in everything we do. Inclusion: We celebrate diversity and promote an inclusive work environment. Compensation, Perks, and Benefits We offer a competitive compensation package, including: Competitive base salaries. Bonus incentives. Assistance for economic-well-being and retirement. Flexible work model with hybrid, onsite, or digital preparations, depending on position and business need. Generous paid parental leave policies (depending on your location). Free access to international on-site online wellness facilities staffed with nurses and doctors (depending on location). Free and confidential counseling aid through our Wholesome Minds application. Career development and education opportunities. How to Apply If you're passionate about data-driven decision making and are excited about the opportunity to drive business growth, we want to hear from you. 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