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Job Information

American Express Director-Data Science in Phoenix, Arizona


About American Express:

American Express is a global financial services company that provides consumers and businesses with exceptional access to products, insights and experiences that enrich lives and build business success.

Working With Us:

There’s a difference between having a job and making a difference. American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision. Because we believe that the best way to back our customers is to back our people.That’s the powerful backing of American Express. Don’t make a difference without it. Don’t live life without it.

Business Unit Description:

We are looking to hire a Director, Enterprise Personalization Decision Science, within the Credit & Fraud Risk (CFR) division at American Express. CFR is responsible for managing the net loss provision for American Express, reducing fraud related losses, and enabling profitable growth in close collaboration with business teams. The group manages multiple critical functions for the company including underwriting strategies for credit products, ongoing exposure management of existing customers, developing and managing credit & fraud risk models, and developing policies pertaining to credit and collections.

The Credit & Fraud division employs more than 1,450 professionals, located in 20 offices around the world.

General Role Summary:

The Director, Enterprise Personalization Decision Science, will be responsible for developing machine learning and data science solutions to personalize digital prospect experience in global markets at enterprise level. The candidate will push innovations in digital marketing space, data & feature engineering and modeling techniques to drive new customer acquisition and business values in partnership with analytics, product, technology and marketing teams.

Core Responsibilities:

  • Design and develop machine learning models to target profitable audiences across AXP website. Deploy the audience and partner with analytics and marketing team to set up campaigns.

  • Deliver contextually relevant website content to personalize prospect visitor journey and drive incremental conversions.

  • Lead research to identify additional data intelligence that improves the model performance and work with product, platform and technology team to enable the data feed.

  • Identify new marketing areas, opportunities, objective functions and deliver modeling solutions to drive growth in revenue.

  • Collaborate with teams from analytics, product, technology and marketing functions to manage End-to-End modeling solution process.

  • Driving operational excellence, and robust governance of models and data strategy across various use cases.

Leadership Competencies:

The Director, Enterprise Personalization Decision Science should possess the following leadership competencies:

  • Attracting and retaining talent and managing the data science team through setting and communicating goals, measuring accomplishments, holding team members accountable, delegating responsibilities as appropriate, and providing developmental feedback and coaching

  • Communicating effectively and appropriately to all relevant stakeholders with team’s vision and agenda, deliverables and outcomes, business insights and impact etc.

  • Designing and implementing processes, work flows, and systems in pursuit of increased efficiency and effectiveness as well as compliance with all laws, rules, and regulations

  • Understanding the organization and possessing the mission-critical technical and functional skills needed to do the job, including being well-organized, resourceful, capable of multitasking, and effective and efficient at marshalling multiple resources to get things done

  • Leading by example and embodying a culture of compliance consistent with the American Express Leadership Model, including managing diverse relationships and acting with honor and character

  • Other duties as assigned


Qualifications :

  • Extensive experience and strong working knowledge of machine learning techniques. Ability to formulate real business problems under modeling framework and develop solutions.

  • Deep understanding of digital marketing innovation on campaign setups, site optimization, content personalization.

  • Ability to transform, adapt and evolve their/team's role with business needs

  • A people leader focused on developing a high performing team; internal and external relationship builder and collaborator

  • Strong data handling skills; ability to derive business insights from data and model outcomes, and convert into valuable and actionable information.

  • Excellent written and verbal communication skills; ability to communicate complex modeling results, strategic vision and goals to business partners.

  • Demonstrated ability to work collaborate across a matrix organization partnering with analytics, product, technology, marketing and external vendors to deliver solutions at top speed

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Job: Marketing

Primary Location: US-Arizona-Phoenix

Schedule Full-time

Req ID: 21022373