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Product Analyst - AI Governance and Product Operations - job 9 of 22

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

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

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 at Visa in Washington, you'll play a pivotal role in driving model risk governance and supporting the success of our impactful portfolio of payment fraud risk model products. This isn't just another analytical role; it's about working with a dynamic team to identify and tackle some of the most pressing challenges we face in model risk governance today. In this position, you'll collaborate closely with product managers, data scientists, and client-facing teams to enhance processes related to model risk and client success. You'll also be the key point of contact for coordination between internal stakeholders and clients, ensuring smooth model governance activities. The role involves creating and maintaining essential documentation, streamlining communication regarding model releases, and capturing client requirements efficiently. Your insights and recommendations will directly influence project statuses and enhance how we serve our clients, ultimately leading to a more effective risk governance strategy. Working at Visa means being part of a technology-driven environment where you can make a significant impact, all while enjoying flexibility through this hybrid role. If you're ready to take on this exciting challenge and contribute to innovative solutions in AI governance, we can't wait to meet you!

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

As a Product Analyst at Visa, your primary responsibilities include supporting model risk governance and client success for payment fraud risk model products. You'll work alongside product managers and data science teams to streamline internal workflows, coordinate model governance activities, and respond to client inquiries effectively, ensuring a seamless client experience.

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What qualifications are required for the Product Analyst role at Visa?

To be a successful Product Analyst at Visa, candidates typically need a strong analytical background, excellent communication skills, and experience in model governance or client servicing. Familiarity with data products, risk management principles, and proficiency in creating documentation are also key qualifications that enhance your candidacy.

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How does the Product Analyst contribute to model governance at Visa?

In the Product Analyst role at Visa, you'll contribute to model governance by creating internal and external communications, maintaining governance documentation, and enhancing processes around model release schedules. Your collaboration with various teams ensures appropriate oversight and adherence to best practices in model risk management.

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What skills will benefit a Product Analyst at Visa?

A Product Analyst at Visa will benefit from strong analytical skills, the ability to communicate effectively with clients and internal teams, and experience in project management. Skills in data analysis, an understanding of risk management frameworks, and proficiency in creating client-facing materials are also crucial to excel in this role.

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

The work environment for a Product Analyst at Visa in Washington is collaborative and fast-paced. With a focus on AI governance and product operations, you will engage with diverse teams across the organization, and the hybrid working model allows for flexibility while fostering innovation and teamwork in addressing client needs.

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Common Interview Questions for Product Analyst - AI Governance and Product Operations
Can you describe your experience with model risk governance?

When answering this question, highlight specific experiences where you effectively contributed to model risk governance, such as creating documentation or managing model release processes. Detail any frameworks or methodologies you used that align with Visa's practices.

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How do you handle client communications regarding complex data products?

Focus on your approach to simplifying complex concepts for clients. Share examples of how you would break down technical information into clear, actionable communications, showcasing your skills in active listening and collaboration.

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What strategies do you use for maintaining accurate project documentation?

Discuss the importance of thorough documentation and your methods for maintaining it, such as using tracking tools or templates. Emphasize your attention to detail and how proactive documentation supports team efficiency and client satisfaction.

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How do you prioritize tasks when managing multiple projects?

Describe your approach to prioritization, such as assessing project timelines and aligning tasks with team goals. Highlight any tools or techniques, like the Eisenhower Matrix, that you find useful for managing your workload effectively.

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What is your experience working with cross-functional teams?

Share instances of successful collaborations with different teams—such as engineering, product, or client services. Emphasize your ability to communicate across disciplines and help coordinate efforts that lead to successful project outcomes.

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How do you ensure that model risk documentation meets compliance standards?

Talk about your understanding of compliance requirements in model risk governance. Discuss your experience in developing checks and processes to review documentation rigorously, ensuring adherence to both internal and regulatory standards.

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Can you provide an example of how you improved a governance process?

Offer a specific example of a process improvement you initiated in a previous role. Detail the steps you took, the challenges you faced, and the outcomes that resulted from your efforts to enhance governance efficiency.

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What technologies or tools do you use to manage data and client requests?

Mention any relevant tools you've used for data analytics, project management, or client relationship management. Explain how these tools enhance your workflow, improve team communication, and contribute to better client outcomes.

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What do you see as the key challenges facing a Product Analyst in AI governance?

Discuss potential challenges such as rapidly evolving technology landscape, data security concerns, or balancing client needs with governance effectiveness. Share your perspectives on how you would navigate these challenges while contributing to Visa's objectives.

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How do you approach learning about new products or technologies?

Explain your strategies for staying updated on industry trends and products, such as attending webinars or utilizing professional networks. Highlight your proactive approach to continuous learning and applying new knowledge to benefit your role as a Product Analyst.

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Full-time, hybrid
DATE POSTED
April 3, 2025

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