
American Express
Senior Analyst – Data Governance & Management at American Express
American Express is hiring a Senior Analyst – Data Governance & Management in Gurgaon, Haryana, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
On this page
1. Job details
American Express
Senior Analyst – Data Governance & Management
Gurgaon, Haryana, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from American Express
In U.S. Consumer Services (USCS), our product is Membership—delivering benefits
and services that are essential to our Card Members across travel, dining,
entertainment, and retail. We compete by providing a differentiated Membership
experience that drives loyalty and long-term growth. USCS brings this to life
through our premium, cobrand, cash back, and lending portfolios, Membership
Rewards, Travel & Lifestyle Services, the Centurion Lounge network, Global
Dining, U.S. Consumer Banking, Amex Offers, Amex Ads, and best-in-class
marketing programs.
The USCS Data Office is responsible for advancing data governance and data risk
management across USCS. The team partners across Business, Technology, Risk, and
Enterprise Data Management to strengthen the control environment, improve data
quality, and support effective management of data as a strategic asset.
The Senior Analyst, Data Governance & Management will support execution of a
scalable, preventative, and insight-driven approach to data risk management
across USCS. Working closely with partners across Business, Technology, Risk,
and the Data Office, this role will help identify, assess, monitor, and mitigate
data risks while contributing to control implementation, issue remediation, and
continuous improvement efforts that strengthen the overall data control
environment.
RESPONSIBILITIES
* Execute data risk management activities across business processes, systems,
and data assets within USCS, including risk assessments, issue management,
and remediation efforts.
* Partner with Business, Technology, Risk, and Data Office teams to identify
and mitigate data risks, proactively resolve dependencies, and drive shared
outcomes.
* Analyze data, controls, and processes to identify risk trends, control gaps,
root causes, and opportunities to strengthen the control environment.
* Support implementation and monitoring of data controls that improve data
quality, stewardship, lineage, and policy adherence.
* Develop reporting and insights that communicate data risk, control
performance, and business impact to support informed decision-making.
* Support identification and documentation of critical data elements, data
flows, and key data dependencies.
* Maintain documentation and evidence supporting effective risk management,
governance, and regulatory compliance.
* Identify and apply opportunities to use Artificial Intelligence (AI),
Generative AI, and automation to simplify processes, improve efficiency, and
deliver measurable business and risk management outcomes.
QUALIFICATIONS
* 1–3 years of experience in analytics, risk management, controls, technology,
operations, or a related discipline.
* Strong analytical and problem-solving skills with the ability to identify
trends, risks, root causes, and actionable insights from data.
* Strong written and verbal communication skills, including the ability to
explain business and risk impacts clearly.
* Demonstrated ability to manage multiple priorities, proactively identify
dependencies, and collaborate across teams to deliver results.
* Understanding of Artificial Intelligence (AI), Generative AI, and automation,
including their practical application to business processes, data governance,
or risk management.
Preferred Qualifications:
* Bachelor's degree in Information Systems, Data Analytics, Computer Science,
Business, Risk Management, Finance, or a related field.
* Experience in financial services or another highly regulated industry.
* Familiarity with data management concepts including data quality, lineage,
metadata, stewardship, and governance.
* Knowledge of enterprise risk, operational risk, issue management, or control
frameworks.
* Experience with reporting, analytics, or data visualization tools, including
SQL and programming languages such as Python, Java, or Shell scripting.
* Familiarity with big data technologies, cloud-based data platforms, or modern
data ecosystems, including Google Cloud Platform (GCP) and BigQuery.
At American Express, our culture is built on a 175-year history of
innovation, shared values
[https://www.americanexpress.com/en-us/company/who-we-are/]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 our 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.
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.
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of American Express’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Senior Analyst – Data Governance & Management interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens American Express’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. American Express runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
Apply for Senior Analyst – Data Governance & Management at American Express
Apply on the employer’s site →
To apply for this job please visit egug.fa.us2.oraclecloud.com.