Senior Customer Success Manager - Fraud/AML Strategy

DataVisor Logo

DataVisor

πŸ“Remote - United States

Summary

Join DataVisor as a Senior Customer Success Manager (CSM) and become a strategic partner to key enterprise clients, driving their ROI through advanced fraud detection and AML compliance. You will lead customer engagements, providing expert guidance on maximizing value from DataVisor's industry-leading SaaS platform. Responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, and identifying opportunities to reduce fraud. You will collaborate with internal teams to advocate for customer needs and support innovation. This role blends strategic consulting, data-driven decisioning, and product expertise to deliver measurable client impact. The position is remote-based in the U.S. or Canada (preferably Eastern Time Zone).

Requirements

  • 5+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
  • Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
  • Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
  • Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
  • Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
  • Confident in leading customer-facing discussions and executive presentations
  • Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
  • Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus

Responsibilities

  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
  • Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
  • Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
  • Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements
  • Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
  • Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
  • Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases

Benefits

  • Bonus
  • Stock options
  • Retirement Plan
  • Health Insurance

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.