Experienced Senior Data Architect – Voice of the Customer (VOC) Transformation and Innovation

Remote Full-time
About American Express
At American Express, we're committed to delivering exceptional customer experiences that exceed expectations. As a global leader in the financial services industry, we're dedicated to fostering a culture of innovation, collaboration, and inclusivity. Our team is passionate about making a meaningful impact, and we're seeking talented individuals to join us on this journey.

About the Role
We're seeking an experienced Senior Data Architect to join our Voice of the Customer (VOC) Transformation and Innovation team. As a key member of this team, you'll play a critical role in driving 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 closely with cross-functional teams to outline, design, and implement business requirements for our VOC platform, ensuring seamless integration with our Cornerstone large data platform.
Develop and maintain a deep understanding of VOC methods and leverage this knowledge to inform and transform data within our Cornerstone platform.
Design and build robust data model architectures to support efficient data processing and standardized metric definitions, ensuring high-quality and accurate data.
Develop and implement big data and batch/real-time analytical solutions using transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions that meet business needs.
Provide guidance on optimizing data processing and analytics to drive efficiency in our computing programs, leveraging our massive data ecosystem.
Develop and implement consumer tale evaluation and elaboration, design and development of software programs, testing, and builds automation tools.
Proactively identify and automate repetitive tasks to improve productivity and efficiency.
Work closely with colleagues from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of our VOC cease-to-quit technique.


Essential Qualifications

Hands-on experience with Hive/Hadoop, PySpark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks, with a minimum of 3+ years of experience.
Ability to collaborate closely with product managers and stakeholders to gather functional requirements and convert them into technical deliverables.
Familiarity with Agile methodologies, including delivering small increments of a product at regular intervals to business groups.


Preferred Qualifications

Experience with data warehousing, ETL, and data governance.
Knowledge of cloud-based data platforms, such as AWS or Azure.
Experience with data visualization tools, such as Tableau or Power BI.
Strong understanding of data security and compliance regulations.


Skills and Competencies
To succeed in this role, you'll need to possess a unique blend of technical, business, and interpersonal skills, including:

Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment.
Strong attention to detail and quality.
Ability to adapt to changing priorities and deadlines.


Career Growth Opportunities and Learning Benefits
We're committed to helping our colleagues grow and develop their careers, with a range of opportunities for learning and professional development, including:

Training and development programs.
Mentorship and coaching.
Opportunities for career advancement.
Access to industry-leading conferences and events.


Work Environment and Company Culture
We're proud of our inclusive and supportive work environment, which prioritizes the physical, mental, and financial well-being of our colleagues and their loved ones. Our benefits package includes:

Competitive base salaries.
Bonus incentives.
Assistance for economic, physical, and mental well-being and retirement.
Flexible working models, including hybrid, onsite, or remote arrangements.
Generous paid parental leave policies.
Free access to on-site online wellness facilities staffed with nurses and doctors.
Free and confidential counseling support through our Healthy Minds application.


How to Apply
If you're a motivated and experienced data professional looking to join a dynamic and innovative team, please apply for this exciting opportunity. We can't wait to hear from you!

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