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American Express
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Manager -Data Analytics

Manager -Data Analytics

American Express

175 years

0 Lacs

gurgaon haryana india

Posted:2 days ago| Platform:

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Skills Required

analytics leadership support data regulations management drive vision power discovery collaboration reliability agility scalability learning algorithms arbitration strategies deployment reporting calculations capture analyze architecture agile development technology security mathematics statistics pyspark hive scala communication flexibility model training verification

Work Mode

On-site

Job Type

Contractual

Job Description

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.

About the Team

American Express is on a journey to provide the world’s best customer experience every day. The Commercial Data Office (CoDO) team, within Global Commercial Services (GCS), is focused on powering the best customer experience and business growth through streamlined data. With continuous changes in the regulatory environment and innovation through data evolving, we play a key role in strengthening GCS critical enablers and supporting new growth opportunities. In partnership with the Enterprise Chief Data Office and across GCS, CoDO is tasked with building new, innovative data solutions for our customers, while adhering to regulations and data management standard methodologies.The team’s mission is comprised of 3 pillars:

Drive Strategic Growth & Revenue –Defining the vision and roadmap to enable data as a key asset to power business growth.
Modernize Data Management –Ongoing data management, data discovery and collaboration across business and technical teams
Ensure Health of the Commercial Business – Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future

About the Role

The Manager – Data Analytics, Machine learning & Client Hierarchy Capabilities will be responsible for designing & developing advanced algorithms, developing deterministic matching frameworks, designing data roll-up and arbitration strategies, conducting internal and external data evaluations, and leading analytical initiatives in support of the Client Corporate Hierarchy & Transaction Matching products. This manager position is critical to provide technical thought leadership & lead a high performing team. Part of this role will be to work with product owners for deployment of algorithmic solutions to improve matching globally, enrich data and enhance accuracy to drive Amex economics & operations in various areas – access management, insights & reporting, expense sharing, incentives calculations & more.

Responsibilities

Conceptualize and develop advanced matching algorithms and frameworks for entity matching globally
Create frameworks and solutions to capture hierarchical relationships & linkages
E2E ownership of analytical needs for the product
Monitor and analyze data quality and intelligence that is generated by algorithms
Develop systematic way to identify gaps in existing algorithms and processes
Provide thought leadership to product owners and tech leads on platform architecture to ensure seamless deployment of algorithmic solutions
Partner with product owners and tech leads to deploy algorithmic solutions in an Agile environment
Maintain an external lens to inform decisions and business strategies
Lead new initiatives, prepare project plans and other supporting information.
Lead, mentor and build a high performing and highly engaged team with diverse talent
Contribute to hiring top talent for the team and for CoDO

Minimum Qualifications

5+ years of experience in development and deployment of data science solutions
Bachelor’s or Master’s degree in Information Technology, Computer Science, Information security, Mathematics, Statistics, or any other relevant qualification. Tier 1 institutes preferred
Leadership experience in leading/creating high performing teams with diverse skills
Experience with conceptualizing and building matching algorithms and frameworks
Experience with delivering business solutions across a variety of platforms and technologies such as Big Data, Pyspark, Hive, Scala, Python
Experience with applying rigorous solution-oriented analyses to deliver scalable solutions in the product space
Exposure to implementation of complex data products
Strong program management, analytical & problem-solving skills
Ability to think abstractly and deal with ambiguous/under-defined problems with a bias to action
Excellent communication skills with the ability to engage, influence, and inspire partners to drive collaboration and alignment

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.

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Manager -Data Analytics