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Product Analyst - AI Governance and Product Operations - job 18 of 20

The Product Analyst is part of the AI Governance and Product Operations team and will be responsible for supporting model risk governance and client success efforts for a high-impact, fast-growing portfolio of payment fraud risk model products. The person selected for this role will be responsible for identifying, as well as shaping and executing strategies against the biggest model risk governance and client success challenges, we face today.

The person selected for the role will sit within the product team, while partnering with product managers, data science, and frontline partners to streamline our model risk governance and client success processes, fine-tune internal workflows for client services, including transforming and coordinating model governance activities between Visa and the clients who use the products powered by Visa models. In addition, this person will support the coordination of activities with the Regional Client Servicing teams, Department-level 1st Line Risk Management function, and Enterprise-level 2nd Line Risk Management functions. The person will also represent Data Products and Solutions in client meetings involving client servicing and model governance topics.

Essential Functions

  • Create and maintain internal and external model risk governance communications including, model implementation support and model release schedules.

  • Ensure appropriate internal control, review, maintenance, and handling of model governance documentation. This includes supporting the continuous process improvement of standard practices, templates, and training for model risk governance.

  • Serve as a contact in client-facing and internal meetings regarding model governance and client success topics for the Data Products and Solutions team.

  • Capture business requirements from clients for custom data or report requests and provide regular updates to clients on progress/delivery.

  • Research and respond to client model risk governance questions or documentation requests.

  • Maintain internal and external frequently asked questions (FAQs) repositories for model risk governance questions.

  • Streamline the delivery of model documentation and performance for Visa clients.

  • Liaise with other business units, product leaders, engineering, and other applicable groups to provide best in class service to clients.

  • Provide project status, action plans, and recommendations to senior leadership on an ongoing basis.

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

 

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Product Analyst - AI Governance and Product Operations, Visa

As a Product Analyst for AI Governance and Product Operations in Washington, you will play a pivotal role in supporting model risk governance and enhancing client success for our dynamic portfolio of payment fraud risk model products. Your expertise will help shape and execute strategies to tackle the critical challenges in model risk governance and client engagements. You’ll not only collaborate closely with product managers and data scientists but also connect with frontline partners to refine our client services and streamline model risk governance processes. This role involves transforming workflows and efficiently coordinating model governance activities between Visa and our valued clients. You'll actively participate in client meetings, addressing key topics related to model governance and supporting our mission of delivering high-quality data products and solutions. Your responsibilities will include creating robust communication materials for model risk governance, ensuring meticulous documentation handling, and driving continuous improvements in our practices. You'll be the go-to person for capturing business requirements from clients, managing documentation requests, and maintaining an internal FAQ resource. By liaising with cross-functional partners, you'll champion best practices in service delivery and provide essential project updates to our leadership team. We’re excited to welcome a proactive individual who thrives in a collaborative environment, and who is ready to make a significant impact on the future of our data products and client partnerships. Join us and help shape the future of payment fraud risk management!

Frequently Asked Questions (FAQs) for Product Analyst - AI Governance and Product Operations Role at Visa
What are the key responsibilities of a Product Analyst in AI Governance and Product Operations at Visa?

As a Product Analyst in AI Governance and Product Operations at Visa, your primary responsibilities include supporting model risk governance and enhancing client success. You will identify challenges, streamline workflows, capture business requirements from clients, and manage model risk governance documentation. Your role demands strong collaboration with product managers, data scientists, and client services, ensuring effective communication during client meetings and supporting continuous process improvements.

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What qualifications are necessary for the Product Analyst position at Visa?

To be considered for the Product Analyst position at Visa, candidates typically need a background in data analysis or product management, along with experience in risk governance, especially in the context of financial services. Strong communication skills are essential, as you will be engaging with clients and internal teams regularly. Familiarity with payment fraud models and an understanding of the governance processes will be significant advantages in this role.

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How does the Product Analyst role contribute to client success at Visa?

The Product Analyst role at Visa directly impacts client success by ensuring efficient model risk governance and seamless service delivery. You will be responsible for capturing client needs, managing documentation requests, and providing timely updates on project progress. By improving internal workflows and continuously optimizing governance practices, you ensure that Visa’s clients receive high-quality support and engagement, ultimately fostering a strong partnership.

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What skills are essential for a Product Analyst working in AI Governance at Visa?

Essential skills for a Product Analyst in AI Governance at Visa include analytical thinking, excellent communication, and project management abilities. A strong understanding of model risk governance processes, the ability to liaise across departments, and adeptness in documentation practices are vital for success. Problem-solving capabilities and a customer-centric mindset are also critical as they enable you to respond effectively to client inquiries and enhance their experience.

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What is the work environment like for a Product Analyst at Visa?

The work environment for a Product Analyst at Visa is dynamic and collaborative. This hybrid position expects you to work both in the office and remotely, allowing flexibility while maintaining team synergy. You will collaborate closely with various internal teams, engage with clients, and participate in meaningful discussions that shape Visa's governance and client service strategies. A supportive atmosphere fosters continuous learning and innovation.

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Common Interview Questions for Product Analyst - AI Governance and Product Operations
Can you explain your understanding of model risk governance and its importance?

In addressing this question, elaborate on the principles of model risk governance. Explain how effectively managing model risk ensures the accuracy and reliability of financial products, particularly in preventing payment fraud. Highlight the significance of compliant documentation, communication within teams, and proactive risk management as core elements that contribute to Visa's reputation for client service excellence.

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How would you approach capturing client requirements for model documentation?

To answer this, describe a structured approach that involves active listening to client needs, followed by careful documentation of those requirements. Emphasize the importance of frequent communication to clarify any uncertainties and ensuring that the captured requirements align with the clients' expectations, thus allowing for seamless integration into model governance processes.

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What strategies would you implement to improve internal workflows for model governance?

Discuss your ideas for streamlining existing processes, such as adopting best practices from industry standards or employing digital tools for better collaboration. You could mention implementing regular feedback loops, creating checklists for compliance, and encouraging interdepartmental communication to facilitate quicker resolution of potential issues, all of which ultimately support model governance efficiency.

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How would you handle a client inquiry regarding model performance issues?

In this scenario, mention the importance of transparency and proactive communication. Outline your strategy for thoroughly investigating the matter, analyzing data, and promptly reaching out to the client with your findings or potential solutions. Engage them in a dialogue, assuring them of your commitment to resolving their concerns and enhancing their client experience.

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What experience do you have with creating and maintaining documentation for compliance?

For this question, draw on any relevant experiences you have had, focusing on specifics—such as your methods for ensuring accuracy, clarity, and availability of documentation. Emphasize your familiarity with compliance standards in model governance, your attention to detail, and how you collaborated with various teams to ensure documentation met both internal and client requirements.

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Describe a time when you contributed to a team project enhancing client success.

Provide a specific example where your input led to a measurable improvement in client satisfaction or operational efficiency. Highlight your role in fostering collaboration within the team, your attentiveness to client feedback, and how your contributions directly aligned with the project goals, showcasing your value as a Product Analyst.

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What do you consider the biggest challenge in model governance today?

In your response, identify a relevant challenge such as the evolving regulatory landscape or the complexity of integrating new technologies into existing model frameworks. Discuss your perspective on how to stay adaptive and propose solutions through agile practices and constant communication with stakeholders to navigate these complexities effectively.

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How do you prioritize tasks when managing multiple projects simultaneously?

Explain your systematic approach to prioritization, which may include assessing project urgency, aligning tasks with strategic goals, and leveraging project management tools. It’s crucial to discuss how effective prioritization can enhance team productivity and ensure that high-impact projects receive the attention they deserve while still addressing ongoing client needs.

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Can you discuss your experience with client-facing roles and how it applies to the Product Analyst position?

Highlight any previous roles that required significant client interaction, emphasizing your communication skills and ability to build rapport. Discuss how these experiences will benefit you as a Product Analyst, particularly in understanding client needs, addressing concerns, and fostering a strong working relationship that supports successful governance outcomes.

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What tools or software are you familiar with that can aid in model risk governance?

Reflect on your familiarity with data analysis software, project management tools, or specific compliance-related platforms that can enhance model risk governance activities. Be prepared to discuss how your proficiency with these tools has helped in your previous roles, positioning you as a candidate who can actively contribute to process improvements within the team.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 2, 2025

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