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'll experience this 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.

How will you make an impact in this role?

Enterprise Comms & MarTech Experiences  (ECMX) is a global organization that sits within U.S. Consumer Services (USCS) and is American Express’ marketing services center of excellence with the charter of driving high quality, customer-first marketing that accelerates business growth through optimized go-to-market solutions and the development of best-in-class MarTech products & processes.

Purpose of the role:

The candidate would be part of the Product Team for Martech- UMDL (Unified Marketing Data Layer) and help to create/manage data product which will be supporting the segmentation, targeting & eligibility domains using MarTech Customer Data Platform (CDP) across 24 Global markets in LUMI. It aims at providing data solutions to enterprise-wide marketing teams to enable effective customer marketing offer targeting. Specific activities will include working closely with business and technology partners to define Business requirements, designing process and engaging stakeholders to drive change management.

We are looking for a candidate with proficiency in Hive, Spark, LUMI/GCP and Hadoop along with capability/ product management and project management.

 

Responsibilities:

o   Create, enhance and manage the organized data layer for marketing use cases in LUMI

o   Develop understanding of Card member data in marketing processes and leveraging the same to define and transform the data

o   Ability to transform data based on Adobe XDM schema

o   Collaborate with partners across business units to understand the business objectives, convert it to data requirements and provide quality solutions that meet partner requirements

o   Ensure data quality and accuracy through intensive testing at variable and use case level

o   Identify and implement the opportunities to enhance process efficiency through increased standardization and automation, in order to reduce manual effort

  

Business Outcomes:

o   Ensure timely and accurate delivery of data use cases for various partners

o   Define and monitor data quality metrics and identify opportunities for enhancements

o   Apply functional learnings to further enhance the project deliverables through improved quality and automation

 

Leadership Outcomes:

o   Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues and shareholders.

o   Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

o   Demonstrate learning agility, make decisions quickly and with the highest level of integrity

o   Lead with an enterprise mindset and deliver the world’s best customer experiences every day

 

Minimum Qualifications

Past Experience:

o   2-4 years of relevant experience with excellent knowledge of data management tools and concepts

o   Experience with product / capability management and technology implementation

o   Experience in Hive, SQL, Python, Spark, BigQuery, Adobe- CDP

 

Academic Background:

o   Bachelor’s degree in Engineering

o   Post graduate in Engineering/ Management

 

Functional Skills:

o   Good understanding of payment/financial industry and card member data is a plus

o   Experience in AGILE Framework with Product Owner role

o   Good Interpersonal skills and Thought-leadership skills with the ability to influence cross-functional teams

 

Technical Skills:

o   Good understanding of Data management concepts

o   Data Matching, profiling and benchmarking across huge datasets

o   Data management/ data processing – Hadoop, Hive, Python, SQL, Spark, Big Query

o   Advanced data manipulation and automation skills

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.