Senior Associate - Data Strategy Transformation
Senior Associate - Data Strategy Transformation
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Job Description
Salary Range: $60000.00 to $110000.00 annually bonus benefits
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
The above represents the expected salary range for this job requisition. Ultimately in determining your pay well consider your location experience and other jobrelated factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic wellbeing. That means we prioritize their physical financial and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6 Company Match on retirement savings plan
- Free financial coaching and financial wellbeing 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 onsite 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
For a full list of Team Amex benefits visit our Colleague Benefits Site.
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. American Express will consider for employment all qualified applicants including those with arrest or conviction records in accordance with the requirements of applicable state and local laws including but not limited to the California Fair Chance Act the Los Angeles County Fair Chance Ordinance for Employers and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive professionally and personally. Thats why we have Amex Flex our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique inperson culture. Depending on role and business needs colleagues will either work onsite in a hybrid model (combination of inoffice and virtual days) or fully virtually.
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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 youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits programs and flexibility that support you personally and professionally.
At American Express youll be recognized for your contributions leadership and impactevery colleague has the opportunity to share in the companys success. Together well win as a team striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well do it with the utmost integrity and in an environment where everyone is seen heard and feels like they belong.
Join Team Amex and lets lead the way together.
How will you make an impact in this role
As part of the Global Merchant & Network Services group (GMNS) the Network & Acquirer Solutions (NAS) team is at the core of American Express uniquely positioned to support every business unit and customer across the Enterprise. The American Express Network enables over $1.6 trillion in annual spend serving our Issuers and Acquirers in more than 170 markets worldwide. We are delivering a multirail omnichannel payments ecosystem that delivers value seamlessly and securely for Amex and our customers.
The Network & Acquirer Capability Delivery (NACD) team within NAS works to deliver fullscale Network solutions including new digital products such as Debit Push to Card MultiRail and Local Network solutions to meet the evolving demands of global payment networks and adapt to local market needs while ensuring continued global interoperability. This enables the Enterprise to attract new customers operate in new markets react to changing regulatory demands and process new/emerging types of payments. A role on this team will challenge you to broaden your skills and industry acumen in a collaborative diverse and inclusive team environment.
The Enterprise Payments Centre of Excellence (CoE) is leading a multiyear groundbreaking initiative to evolve American Express into a MultiRail payments ecosystem that features operational and technical excellence in payment to ultimately drive new revenue relevance and opportunities for the business.
As The Associate/Sr Associate Data Strategy & Transformation you will be at the center of building on the Payments CoE mission! You will be joining the team at a fascinating and critical time in which the team is kicking off a multiyear data strategy & transformation initiative playing a key enabling and thought partnership role in driving business growth productivity and operational excellence for the broader organization. You will have the opportunity to be part of a key strategic priority for the NAS business.This exciting role will offer the opportunity to drive the strategy to better process manage store control govern and monetize our critical data assets.
The incumbent will play an influential role collaborating closely with key stakeholders like NAS Product Envisioning Technology GSG (Global Services Group) Finance CFR (Credit & Fraud Risk) etc. to understand the current landscape of data coverage opportunities and create a will provide consultative support to peers and leaders in NAS through strategic analytics that highlight trends risks and opportunities and actionable insights.
Key Job Responsibilities:
- Support Senior Managers leading the development and of the MultiRail Data Strategy vision strategy and roadmap
- Partnership and collaboration with peers on Product Envisioning Technology Data Governance Analytics Delivery teams to find synergies drive optimization and standardization
- Participate in external and internal research and enablement of next gen AI/ML driven solutions which make data analysis discovery and processing more efficient and optimized
- Support Senior Managers to develop presentations materials for colleagues and Senior Leadership
- Help build a comprehensive scalable and nimble data distribution strategy to cater unique needs of all downstream applications
- Become an expert on MR data and working with the Data Governance Office to ensure that relevant data is identified as needing to be activated review/propose data that is necessary for processing vs. servicing and make recommendations on accessibility of that data
- Owning data discovery by forming hypotheses defining objectives and key results and recommending options that best balance costbenefit to achieve defined outcomes
- Helping define MVPs to meet strategic business outcomes while balancing innovation and efficiency
Preferred Qualifications
- Superior analytical skills ability to analyze/understand large data sets synthesize and draw out relevant insights
- Strong presentation skills particularly in creating executive summary decks for sharing strategies and progress to senior leaders
- Excellent communication and collaboration skills. Able to simplify complex ideas navigate crossfunctional teams and build relationships influence decisions and deliver on shared objectives
- Extreme attention to detail and accuracy strong sense of responsibility and accountability
- Demonstrated ability to analyze data and processes to identify creative solutions and drive incremental improvement
- Ability to selfstart carve opportunities out of ambiguity and operate with a high degree of independence
- 2 years of analytic or data management programming experience preferred (SQL SAS R or Python)
- Bachelors degree in a quantitative field e.g. Engineering Statistics preferred
- Flexibility in supporting various time zones as this role supports global initiatives required
Required Experience:
Senior IC
Employment Type
Full-Time
