Director-Data Analytics [Data Science] - Careers Jobs & Vacancy Update

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Director-Data Analytics [Data Science]

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let’s lead the way together.

Functional Description:

The ‘Prospects Cross Functional Analytics’ team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express. AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, the incumbent will lead the Prospects Cross Functional Analytics team within AIM.

The Director will own the cross functional analytics strategy encompassing all Prospects channels like Direct Mail, Sales, digital etc. They would be closely working with the respective channel analytics teams to ensure standardization across key targeting frameworks, including card member value, offer personalization etc. The Director will be challenged with designing a consistent cross-channel targeting strategy by using machine learning and advanced methodologies. The person will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to channel analytics owners, leadership & partners aimed at driving revenue through acquisitions. The ideal candidate can drive strategic decision making and implement new strategies via advanced analytics, disciplined test & learn, and effective partnership. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Services business at American Express

Responsibilities:

Develop comprehensive analytical frameworks encompassing all Prospecting channels viz. digital, Direct mail and Sales to drive a consistent cross-channel targeting strategy.
Streamline and standardize targeting processes across channels including offer personalization, card member value to drive consistency in targeting.
Define, Design, Create, and Implement data science & analytical solutions required throughout the life cycle of a Prospect acquisition campaign.
Collaborate with partners within AIM, GCS Prospect marketing, Finance, and Investment optimization on various initiatives like building a cohesive targeting framework across Prospect channels, influencing data-driven strategy changes to drive growth in Prospect acquisitions.
Understand the prospect channels nuances, including the key strategies which drive acquisitions e.g. offer personalization, profitability-based targeting etc. and find opportunities to drive revenue for the business.
Collaborate with Channel analytics teams to manage, guide and build analytical solutions to improve targeting efficiency across all prospect channels.

Minimum Qualifications:

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Master’s degree in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
Demonstrated ability to lead cross-functional teams directly or indirectly to achieve key business outcomes.
Strong programming skills are required. Experience with BIG DATA PROGRAMMING LANGUAGES (HIVE, PIG, SPARK), PYTHON (or R or JAVA). Expertise or ability to pick up strong SQL skills.
Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to build insights and get results, such as A/B testing analysis.
Strong analytical/conceptual thinking skill to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
Strong knowledge of machine learning techniques, including XGBoost, Decision Trees and NLP models. Knowledge of commercial data experience is a plus.
Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, risk teams and external vendors to deliver solutions at top speed.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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.

Director-Data Analytics [Data Science]