Manager - Digital Product Management
English
₹20000/MONTH
1 Year
Bachelor's (Preferred)
Work From Office
Date Posted
13-Jul-2026
Location
Haryana (HR), 1
Job Type
Full Time
Company
Huntsman
Description
Job Title: Manager - Anti-Money Laundering (AML) Data Governance
Company: American Express
Location: Gurugram, Haryana
Job Type: Full-time
Benefits: Health insurance, competitive base salaries, bonus incentives, financial well-being support, retirement plans, flexible working models (hybrid/onsite/virtual), paid parental leave, access to wellness centers, career development, and more.
About American Express
At American Express, we are committed to empowering people and businesses to achieve incredible progress. By joining Team Amex, you become part of a diverse and global community where we support each other and our customers. You’ll have opportunities for growth and development as we offer benefits, programs, and flexibility to support your personal and professional journey.
Role Overview
The Manager - AML Data Governance will be a key player in the Risk Data team within Risk Products & Data Strategy. This team develops and maintains the risk data required for Anti-Money Laundering (AML) strategies and ensures strong data governance and quality. The Manager will lead a team of 3-4 data analysts and collaborate across multiple business units, product/platform teams, and enterprise technology teams to develop, govern, and manage AML data, ensuring it meets the needs of production use cases and analytical needs while maintaining high data quality standards.
Responsibilities:
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End-to-End AML Data Ownership:
Manage the end-to-end ownership of AML data across various platforms and processes. -
Subject Matter Expertise:
Serve as the subject matter expert (SME) for the workstream, with in-depth knowledge of risk systems and processes. -
Strategic Leadership:
Lead the development of strategy and roadmap for AML data governance initiatives and risk data management. -
Data Engineering Principles:
Ensure data engineering principles are applied to all data requirements, including data governance and data quality. -
Risk Data Ownership:
Own the risk data for production use cases and analytics, collaborating with internal teams to ensure data meets the necessary standards. -
Data Quality Controls:
Define and implement data quality controls (e.g., detective, preventive, B&Cs) for both batch and real-time data, working with technical teams to ensure proper implementation. -
Transformation of Data Processes:
Lead the transformation of critical risk data processes, migrating from legacy platforms to POD platforms and integrating with Cornerstone risk systems. -
Operational Risk Reduction:
Develop capabilities to reduce manual operations and prevent operational risk, optimizing workflows and enhancing data management processes. -
Collaboration:
Partner with stakeholders, including Data Architects, Business Architects, and tech teams, to design and implement the right data models and designs. -
Data Education & Governance:
Educate the stakeholder community on the usage of risk data and maintain accurate metadata and lineage standards as per Enterprise Data Governance requirements.
Qualifications:
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Experience:
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3-4 years of hands-on experience working on large-scale capability or analytical projects in data management or risk data governance.
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Credit/Fraud Risk Management experience and understanding of the credit lifecycle is preferred.
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Technical Skills:
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Strong understanding of data management and data governance concepts (e.g., metadata, lineage, data quality).
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Proficiency with tools like Python, Hive, SQL, and Hadoop is preferred.
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Education:
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Graduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
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Strategic Thinking & Leadership:
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Strong strategic thinking, solution-oriented mindset, and the ability to drive projects with clear goals and objectives.
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Proven ability to build relationships and collaborate in a cross-functional environment.
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Communication & Analytical Skills:
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Excellent communication skills (both written and oral) to convey complex information to diverse stakeholders.
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Strong analytical skills to interpret data and translate it into actionable insights.
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Track Record of Driving Results:
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A proven track record of delivering results in a fast-paced, ambiguous environment with a need to make decisions with limited information.
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Why Join American Express?
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Holistic Well-being:
We prioritize the physical, financial, and mental health of our colleagues by offering health insurance, wellness programs, and financial support for all life stages. -
Flexible Work Environment:
American Express offers a flexible hybrid, onsite, or virtual work model depending on the role and business needs. -
Career Growth:
Enjoy career development opportunities, training programs, and tuition assistance to help you grow professionally and personally. -
Inclusive Culture:
Be part of an inclusive and diverse workforce that promotes equal opportunity and encourages innovative thinking.
Equal Opportunity Employer
American Express is an equal opportunity employer and makes employment decisions based on merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law.
Additional Information
The offer of employment is contingent upon the successful completion of a background verification check, subject to applicable laws and regulations.
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