Product Analyst - AI Governance and Product Operations - job 3 of 22

As a Product Analyst in AI Governance and Product Operations, you will be responsible for supporting model risk governance and client success efforts. This includes shaping strategies to tackle governance challenges, liaising with cross-functional teams, and maintaining communication with clients on model implementation and updates.

The ideal qualifications for the Product Analyst role include a background in data analysis, knowledge of model risk governance, and excellent communication skills. Experience in client-facing roles and familiarity with payment fraud risk model products will be highly beneficial.

The Product Analyst plays a crucial role in client success by ensuring that model governance processes are clear and effective. By capturing client requirements and providing timely updates, you help clients navigate the complexities of model risk governance, ultimately enhancing their satisfaction.

Essential skills for the Product Analyst role include strong analytical abilities, exceptional organizational skills, and the capacity to communicate complex ideas effectively to both technical and non-technical stakeholders. Adaptability and teamwork are also vital in this cross-functional position.

As a Product Analyst in AI Governance and Product Operations, expect a hybrid work environment that combines in-office collaboration in Washington with remote flexibility. This setup allows for a balanced workflow while promoting connectivity with teams and clients.

Highlight your experience by discussing specific projects where you have managed model risk governance processes. Emphasize your ability to communicate with both clients and internal stakeholders, showcasing how your role contributed to successful model implementation and compliance.

Discuss your approach to task management, such as using specific tools to track deadlines and prioritize based on urgency and impact. Provide examples of how you've successfully managed competing priorities in previous roles.

Share techniques you use, such as simplifying terminology, using visuals, and tailoring your message to the audience. Illustrate your answer with examples where clear communication resolved client concerns or facilitated internal collaboration.

Explain your method for addressing client inquiries, such as first understanding the client’s specific question, then leveraging internal resources or documentation to provide a thorough and clear response. Your answer should showcase your problem-solving and communication skills.

Provide a concrete example of a process improvement initiative you led or contributed to. Detail the problem, your actions, and the positive outcomes achieved, such as increased efficiency or enhanced client satisfaction.

Identify specific tools or software relevant to model governance, data analysis, and project management. Mention any experience with analytics platforms, communication tools, or documentation systems that facilitate effective project execution.

Good client success means establishing strong relationships with clients by understanding their needs and delivering effective solutions. Discuss how you would approach client success objectives, ensuring that both their expectations and compliance needs are met.

Discuss your passion for technology, particularly AI’s role in solving real-world challenges such as payment fraud. Express your commitment to continuous learning and how that aligns with the growing needs of the field.

Explain your understanding of the compliance landscape, including any frameworks or regulations relevant to AI governance. Discuss strategies to ensure that all documentation and model activities align with established standards.

Describe your systematic approach to gathering client requirements, including stakeholder interviews, surveys, and feedback mechanisms. Your answer should highlight your attention to detail and ability to translate client needs into actionable items.