At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.

• End to end ownership of all data related to AML across platforms and processes
  
• Subject matter expert for the work stream he/she leads with in-depth knowledge of risk systems and processes.
  
• Thought leadership for the respective workstream he/she leads
  
• Ability to create a strategy and roadmap for the initiatives he/she is leading
  
• Responsible for ensuring data engineering principles are applied to each data requirement
  
• Risk data ownership for data used in our production use cases and analytics
  
• Define data quality controls (like detective, preventive, B&Cs) for batch and real time data & partners with tech teams for implementation
  
• Lead the transformation of critical risk data process on the POD platforms to Cornerstone and integrate them into risk systems
  
• Lead the development of capabilities to reduce manual operations and prevent operational risk
  
• Collaborate with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model
  
• Educate stakeholder community on the usage of risk data Reviewing and updating metadata and lineage standards and process guides published by the Enterprise Data Governance team

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• The position needs to have in depth knowledge of Amex Credit Risk Systems
  
• 3-4 years of hands on experience working on large size Capability or Analytical projects
  
• Credit/Fraud risk management experience and understanding of credit lifecycle is preferred
  
• Advanced Communicator
  
• Thought leadership and solution-oriented mindset
  
• Ability to think strategically and set POA direction
  
• Ability to build strong relationships in a cross-functional environment. Clear, effective written and oral communication skills
  
• Strong Analytical Skills
  
• Proficient in collaboration to drive results
  
• Deep understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.)

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