Principal, Product Management

  • Full-time
  • Job Family Group: Product Development

Job Description

Visa Global Loyalty is developing and executing a vision to be the gateway for apps into the payments ecosystem - enabling developers to engage with consumers anytime, anywhere payment is accepted. We are looking for a Sr. Product Manager to manage fraud and analytics initiatives for our Card Linked Offers (CLO) advertising business.

You will have full responsibility for developing features, platforms, models, and capabilities to proactively identify sources and patterns of fraud in CLO to minimize Visa’s total exposure to financial and reputational risk. You will work hand in hand with engineering and data science team members to identify potential sources of fraud, proactively monitor and triage  latent and emerging fraud patterns, forecast fraud scenarios, and implement preventive mechanisms to mitigate the impact of fraud.

In addition to fraud management, you will be responsible for productizing our vast data sets for other services which may include offer segmentation and recommendation modeling, customer service tooling, and client performance reporting. You will be responsible for prioritizing projects and features by balancing impact with cost tradeoffs – knowing at all times the answer to, “what are the next three things we are going to build and why.”

You should possess a mix of technical strength, process orientation, and drive to challenge the status quo. We’re looking for a creative and curious product thinker who can develop and grow a compelling vision for the future of Visa’s fraud, risk management, and analytics capabilities.

Responsibilities

PMs do many things, but in the end PMs ship and that means they cover whatever gaps in the process that need to be covered. As a PM on the Visa Global Loyalty team your responsibilities will include:

  • Leading the team with your industry and domain expertise of fraud, data science, and data engineering.

  • Launching real-time systems and models to identify and mitigate latent and potential fraud to prevent abuse of Visa CLO.

  • Launching new product capabilities leveraging VisaNet data to enhance offer segmentation and recommendation modeling.

  • Working with our data engineering team to fortify our data pipelines and building infrastructure to ensure we leverage our data effectively with the lowest technical cost/risk.

  • Building long-term instrumentation, monitoring, and reporting capabilities to empower internal and external stakeholders to manage the CLO business.

  • Identifying key metrics, objectives, and results that will define success.

Qualifications

  • A BS degree in Computer Science, similar technical field of study. MBA or PhD is a plus.
  • 5+ years of experience in product management and client facing role.
  • 3+ years of experience in data science or engineering managing fraud and risk.
  • Basic understanding of Data Science principles and algorithms, such as Clustering, Classification, and Predictive Modeling (Decision Trees, Neural Nets, Regression, KNN, etc.). Hands-on experience a plus.
  • Basic understanding of Big Data technologies (Hadoop/Hive/Impala/Apache Spark/Kafka, etc.). Hands-on experience a plus.
  • Excellent verbal and written communication skills.
  • Experience in writing and maintaining technical product documentation for a variety of audiences.
  • You have experience working in scrum teams in an agile environment, tightening every feedback loop regarding the product (e.g. release often, release early, talk to customers, minimal marketable product, etc)
  • Meticulous attention to detail and consistency in task execution with an ability to learn quickly with minimal supervision.
  • Bonus points if you have experience with financial products and/or started a business in a related space.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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