Vice President, Finance – Data Science & Analytics

American Express•New York, NY

10h•Hybrid

About The Position

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. 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? This Vice President role is an amazing opportunity to lead a group of high-performing colleagues responsible to develop and execute in-depth data analytics, machine learning modelling and visualizations to support of Enterprise insights. This position sits on the Finance Data Science & Analytics (DS&A) Leadership Team and will be pivotal in helping progress on our AI transformation roadmap. This position affords the opportunity to influence how strategic decisions are made at senior levels of American Express, providing actionable insights and recommendations. This is a hybrid role based at the Amex Tower in New York City.

Requirements

Solid understanding of card economics and overall AXP business model
Ability to lead a team in driving multiple initiatives concurrently while adhering to strict deadlines
Comfort thriving in whitespace, where there is an obligation to continually drive new ideas independently
Proficiency in dealing with large quantities of complex data and ability to derive actionable insights from those data
Demonstrated experience communicating technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications
Proven track record in the data science domain and / or experience developing and implementing complex [e.g., machine learning / AI] models
Experience in leading highly analytical teams and demonstrated ability to elevate talent and drive continuous learning
B.S. / M.S. or Ph.D. in a quantitative field [e.g., Applied Mathematics, Physics, Engineering, Computer Science] strongly preferred
Ability to deepen trust-based relationships across a variety of stakeholders and levels across the Enterprise and thrive in a fast-paced environment

Nice To Haves

Prior experience or exposure to Power BI or other visualization tools [e.g., development, implementation, maintenance] strongly preferred

Responsibilities

Develop and / or enhance machine learning modelling techniques to forecast and analyze spend, lend and other metrics which sit within the team’s purview
Progress on team’s AI transformation roadmap
Create, maintain and improve critical spend dashboards including all required data access / controls
Maintain and enrich infrastructure to improve data quality, reporting tools, and other operational efficiencies for dashboards and other data analysis / modelling processes
Ensure robust data governance and sound model governance practices, including on-going model monitoring and other associated activities [e.g., hyperparameter tunning, model interpretability and robust documentation], collaborating with 2nd Line / MRMG and 3rd Line / IAG on all requirements
Play the role of strategic advisors as the expert on spend trends, converging data [e.g., multivariate analyses] to parse weak signals and get ahead of inflection points
Propose and implement solutions to ad-hoc business problems, working independently to leverage data and drive novel insights
Continue evolution from execution-oriented to an insight-enabled operating model while investing time to increase business acumen across all colleagues
Attract and retain top talent while elevating the performance of our highly specialized team of data scientists, in line with our overall talent strategy

Benefits

Competitive base salaries
Bonus incentives
6%25 Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
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