Analyst - Data Governance & Management

American Express Company; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

American Express is seeking a Data Governance and Data Management professional to own end-to-end enterprise data assets used in decisions for millions of customers and transactions. You will work with CFR teams to reduce fraud risk, improve data quality, and enable scalable analytics using GCP, BigQuery, SQL and Python.

You will build cross-functional relationships, drive data standardization and security, and influence stakeholders to adopt innovative data solutions across Technology, Design

Qualifications

• Experience with enterprise data assets and governance.
• Ability to work with cross-functional teams.
• Knowledge of data quality, data ownership, and security compliance.
• Willingness to work in shifts.

Responsibilities

• Develop data management, data integration and quality processes.
• Innovate with big data technologies.
• Scale critical initiatives and improve productivity.
• Manage data products with Technology, Design and End-Users to enable new capabilities.
• Build relationships across cross-functional teams to drive change.
• End-to-end ownership of enterprise data assets for decisions.

Skills

Analytical skills

Communication skills

Interpersonal skills

Teamwork

Learning agility

Innovation mindset

Problem solving

Shift flexibility

Data governance

Tools

GCP

BigQuery

SQL

Python

Job description

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry s lowest credit loss rates. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts to leverage data and digital advancements to improve risk management, enable commerce and drive innovation.

A single decision can have many outcomes. And when that decision affects millions of card members and merchants, it needs to be the right one. That is where our Product teams come in. Product teams are the backbone of all financial services operations at American Express-it impacts every aspect of the company. As a part of this team, you will work with the industry s best talent to create smart and innovative strategies that advance our market share and the way we do business. If you are interested in getting to know all areas of our business and can translate our business needs into remarkable solutions, you should consider a career in Data Governance and Data Management team.

• Strong analytical and problem-solving skills.
• Effective communication and interpersonal skills.
• Ability to solve unstructured problems.
• Ability to work effectively in a team environment.
• Ability to learn quickly and work independently with complex, unstructured initiatives.
• Ability to challenge the status quo and drive innovation.
• Experience on GCP, Big Query, SQL Python is a must.
• Candidate must be flexible to work in different shifts :- Mon to Wed - 1:00pm - 9:30pm, Thursday - 11:00am - 7:30pm, Friday - 8:30am - 5:00 pm.

Manage end-to-end ownership of enterprise data assets that are used in making business decisions for millions of customers and billions of transactions across the globe.

Develop strong subject matter expertise on both internal and external data assets.

Act as the custodian for data standardization, data governance, data quality and data ownership, while ensuring compliance and security of the data.

Build strong relationships, operate effectively within large cross-functional teams, and influence business stakeholders to drive change.

The selected candidate will be allocated to one of these roles depending on the fitment and business needs.

The role will entail some of the below responsibilities: -

• Develop robust data management, data integration and data quality processes by leveraging best-in-class technology.
• Innovate with a focus on developing newer and better approaches using big data technologies.
• Find innovative techniques to bring scale to critical initiatives and enhance productivity.
• Manage world class data products by partnering with enterprise teams including Technology, Design and End-Users to enable building of new capabilities, modules, and maintenance of existing assets.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.