Director - Data and Platform Integration

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Director Product Manager - Data and Platform Integration

Visa's Ecosystem Risk Programs (ERP) is a pivotal Global Risk division dedicated to safeguarding the payment ecosystem's safety and integrity by preventing illegal and fraudulent activities. This mission is achieved through the implementation of robust risk quality control and compliance programs, aligned with Visa Rules and additional client guidelines. ERP leverages proprietary tools, specialized third-party vendors, regional risk teams, and other stakeholders to maintain quality control. By utilizing internal and external discovery sources, ERP gains critical insights into illegal merchant activities, thereby ensuring the Visa network's integrity. It collaborates with both internal and external stakeholders to advance its mission and initiatives.

This role is ideal for an experienced Software Professional who is passionate about working with business stakeholders, product and technology partners to enable enterprise platforms and analytics solutions. You will define the strategic vision for the ERP platform, developing tools and services that protect Visa’s payment systems.

Essential Functions :

Data Governance and Management

• Utilize both internal Visa data and external/open-source data to manage investigations.
• Set up monthly data ingestion pipelines in a cloud environment using technologies such as Python, Java, J2EE, and Microservices.
• Manage data quality metrics and operational KPIs.
• Oversee data standardization, integration, governance, and lineage for downstream consumption and analytics.
• Implement data analytics using Python to drive insights and improve product excellence.

Platform Integration

• Transform vendor data feeds and ingest them into the platform’s data access layer for end-user utilization.
• Use third-party products for seamless integration into existing systems and workflows.

New Discovery Source Research

• Research new open-source and paid discovery sources.
• Conduct coverage analysis, gap identification, and annual planning.

Data Analysis and Automation

• Perform data deep-dives, analytics, and automation to track trends, coverage, and impact from various discovery sources periodically using tools like Python, SQL, and Excel.
• Experiment with in-house and third-party data sets to test hypotheses on the relevance and value of data to business problems.
• Translate data investigations and analyses into actionable business intelligence for business decision-making.
• Develop insights using Generative AI and metrics for enhancing product excellence.

Management Information Systems

• Maintain oversight on Visa ERP discovery source/tool effectiveness through Management Information Systems (MIS) and dashboards.

  
  

Industry Trends and Research

• Monitor industry trends and research new potential discovery sources (both paid and open source).
• Build strategic roadmaps, conduct coverage analysis, and perform gap identification for existing and new discovery sources.

Sourcing and Integrations of Third-Party Data

• Identify, evaluate, and integrate third-party data sources to enhance the platform's capabilities.
• Ensure the seamless integration of third-party data into existing systems and workflows.

Discovery Source and Alerts

• Manage and monitor discovery sources to ensure timely and accurate alert generation.
• Develop and implement strategies for the effective use of discovery source alerts in risk management and fraud prevention initiatives.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications

• 10+ years of work experience with a Bachelor's degree or at least 8 years of work experience with an Advanced Degree (e.g., Masters/MBA/JD/MD) or at least 5 years of work experience with a PhD.
• Knowledge of technologies such as Python, Java, and web-service integrations.
• Expertise in performing data analyses, investigations, trend forecasts, and deep dives on large volumes of diverse datasets using tools like Python, SQL, and Excel.
• Experience in working with Generative AI to establish insights.
• Lay Understanding of machine learning
• Experience in extracting, analyzing, and aggregating data.
• Expertise in working with internal and third-party data feeds with different levels of coverage, quality, and aggregation.
• Experience in building data access layers at scale and feeding them into enterprise platforms, analytics, and other tech solutions.
• Strong analytical and problem-solving abilities, with the ability to use hard data and metrics to support assumptions and evaluate outcomes.
• Familiarity with systems architecture and tracking data flow through complex and high-scale systems.
• Experience in managing data and analytics vendor relationships, including managing contracts, assessing performance, and building vendor roadmaps.
• Excellent analytical and problem-solving capability combined with a drive to solve real-world problems.
• Strong interpersonal, facilitation, and effective communication skills (both written and verbal).
• Great work ethics and a team player aiming for the best results as a team.
• Ability to work with internal product development and engineering teams to deliver products on schedule with high quality. Comfortable in a heavily matrixed organization.
• Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment.
• Ability to understand both business and technical concepts.

Preferred Qualifications

• 12+ years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
• PhD in Computer Science, Operations Research, Statistics, or a highly quantitative field (or equivalent experience).
• Prior experience as a data product owner, data governance, or data management SME in a payments network, fintech, banking, or financial services firm.
• Experience with data visualization and business intelligence tools like Tableau and Microsoft Technologies (SQL Server, Power BI, Analysis Services).
• Advanced Excel skills, including the ability to produce graphs and tables, use spreadsheets efficiently, and perform calculations and automation to process large volumes of data.
• Familiarity with the application of datasets in advanced analytics and machine learning solutions.
• Experience in architecting solutions with Continuous Integration and Continuous Delivery in mind, using tools like Jenkins and Bamboo.
• Ability to do high-level system design and workflows to represent the implementation of the requirements.
• Ability to fully understand technical architecture, overall system design.
• Experience in working with agile lifecycle and/or tracking and process management tools, e.g., JIRA.
• Self-starter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity.
• Demonstrated cross-functional competence, having led/coordinated teams across functional areas in large, matrixed organizations.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.