About Us
At American Express, we're committed to delivering exceptional customer experiences that exceed expectations. Our company values are built on a foundation of integrity, teamwork, and a passion for innovation. We believe in empowering our colleagues to make a meaningful impact and contribute to our organization's success. As a member of our team, you'll have the opportunity to be part of a dynamic and collaborative environment where everyone is seen, heard, and valued.
About the Role
We're seeking an experienced Senior Data Architect to join our Voice of the Customer (VOC) Transformation and Innovation team. This is a unique opportunity to drive the development and implementation of our VOC strategy, leveraging cutting-edge technologies and methodologies to deliver innovative solutions that drive business growth and customer satisfaction.
Key Responsibilities
- Collaborate with cross-functional teams to design, develop, and implement the VOC strategy, ensuring seamless integration with our Cornerstone large data platform and Qualtrics survey platform.
- Develop and maintain robust data models, leveraging Hadoop, HDFS, MapReduce, Hive, Spark, and Python to deliver high-quality and accurate analytical insights.
- Design and develop software programs, automation tools, and data pipelines to support VOC data processing and analytics.
- Proactively identify and automate repetitive tasks to improve efficiency and productivity.
- Work closely with stakeholders from GSN and AET to prioritize, define, and analyze VOC data for various use cases, ensuring alignment with business objectives.
Essential Qualifications
To succeed in this role, you'll need:
- 3+ years of experience in data architecture, with a strong focus on VOC and customer experience analytics.
- Hands-on experience with Hive/Hadoop, Pyspark, Python, and Shell scripting languages.
- Strong understanding of data processing, data warehousing, and data visualization concepts.
- Experience with Agile methodologies, including Scrum and Kanban.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred Qualifications
While not essential, the following qualifications would be highly desirable:
- Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
- Knowledge of machine learning and artificial intelligence concepts, with experience in implementing predictive models and algorithms.
- Experience with data governance and data quality frameworks, ensuring data accuracy and consistency.
Skills and Competencies
To succeed in this role, you'll need to demonstrate the following skills and competencies:
- Strong analytical and problem-solving skills, with the ability to interpret complex data sets and develop actionable insights.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong attention to detail, with a focus on data quality and accuracy.
- Ability to work in a fast-paced environment, with multiple priorities and deadlines.
Career Growth Opportunities and Learning Benefits
We're committed to supporting your career growth and development, with a range of opportunities for learning and professional development. These include:
- Regular training and development programs, focusing on data science, machine learning, and cloud computing.
- Opportunities for mentorship and coaching, with experienced professionals in the field.
- Access to industry-leading tools and technologies, including Hadoop, Spark, and Python.
Work Environment and Company Culture
We're proud of our inclusive and supportive work environment, which prioritizes the well-being and success of our colleagues. Our company culture is built on a foundation of:
- Integrity and trust, with a focus on doing the right thing.
- Collaboration and teamwork, with a commitment to working together to achieve common goals.
- Innovation and creativity, with a focus on developing new ideas and solutions.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Base salary and bonus incentives.
- Assistance with economic, physical, and mental well-being, including retirement planning.
- Flexible working arrangements, including hybrid, onsite, and remote options.
- Generous paid parental leave policies.
- Access to international on-site online wellness facilities, staffed by nurses and doctors.
- Free and confidential counseling services, through our Healthy Minds program.
How to Apply
If you're passionate about data architecture and customer experience analytics, and you're looking for a challenging and rewarding role, we'd love to hear from you. Please apply through our website, and join our team of innovators and problem-solvers.
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