Director, Product Management - Personalization - job 19 of 20

As the Director of Product Management - Personalization at Visa, your primary responsibility will be to lead the development and implementation of innovative AI/ML products aimed at enhancing personalization capabilities within the payments ecosystem. This includes collaborating with data scientists, product managers, and the broader Global Data Office to align our strategies with consumer needs. You will drive high-impact projects that redefine how consumers connect with products and services, ensuring a data-driven approach that balances innovation with responsible use.

To be considered for the Director, Product Management - Personalization role at Visa, candidates should have extensive experience in product management, particularly in AI/ML, and a strong understanding of data strategies. A proven track record of leading cross-functional teams and delivering impactful results in a technology-driven environment is essential. Additionally, candidates should possess excellent communication and leadership skills to effectively coordinate with various stakeholders across the organization.

The Director, Product Management - Personalization at Visa is crucial in shaping our data-related strategies by innovating how personalization is utilized within our product offerings. By introducing cutting-edge AI features and working closely with the data community, you’ll help drive initiatives that enhance user engagement and improve outcomes for consumers and businesses. Your efforts will directly contribute to Visa's overarching goal of fostering trust and responsibility in data usage.

In this role, the Director, Product Management - Personalization will lead a highly skilled and diverse team composed of data scientists, ML engineers, product managers, and program managers. This cross-functional team is dedicated to designing and executing AI/ML products that address client and consumer challenges, with a focus on driving value and innovation in the payments ecosystem.

Working as the Director, Product Management - Personalization at Visa is unique due to the company’s dedication to innovation and responsible data use. You will play a vital role in shaping the future of payment personalization while being part of a progressive team that values forward-thinking approaches. The hybrid work model also allows you to enjoy flexibility and work-life balance, all while making a significant impact.

When prioritizing product features, I focus on aligning them with user needs and the company's strategic objectives. I utilize data-driven insights to assess potential impact, balancing immediate customer desires with long-term business goals. Engaging stakeholders early ensures that the prioritization reflects diverse perspectives and leads to well-rounded product decisions.

Certainly! In my previous role, I led a team that developed a groundbreaking personalization feature using ML algorithms. We identified consumer behavior patterns that were previously overlooked, which allowed us to tailor user experiences significantly. By collaborating with stakeholders and leveraging data analytics, we launched the feature successfully and saw a notable increase in user engagement.

Handling conflicting priorities requires open communication and a structured approach. I would start by facilitating discussions to understand everyone’s perspectives and the reasoning behind their priorities. By leveraging data to weigh the impact of each priority against our goals, we can collaboratively reach a consensus that serves the best interests of the project and the team.

To ensure successful cross-functional collaboration, I would implement regular check-in meetings and collaborative planning sessions to keep all parties informed and engaged. Encouraging transparency and using collaboration tools can help streamline communication. Additionally, fostering a culture of respect where every team member feels valued leads to more effective collaboration and innovation.

One of the most significant challenges in AI/ML product management is navigating the ethical implications of AI decisions. Balancing innovation with responsible deployment requires a deep understanding of data governance and consumer trust. Additionally, ensuring that our systems are inclusive and avoid bias is crucial, making it vital to incorporate diverse perspectives throughout the product development process.

To measure the success of a personalization feature, I utilize key performance indicators such as user engagement rates, satisfaction scores, and conversion rates. I also apply A/B testing to compare performance against control groups and gather qualitative feedback through user surveys. This comprehensive approach helps understand user impact and informs iterative improvements.

Customer feedback is crucial in my product development process. It informs design decisions, helps prioritize features, and provides insights into user needs. I actively seek feedback through surveys and user testing sessions, ensuring this input directly leads to actionable improvements, ultimately creating a more user-centered product.

I have extensive experience working in agile environments, which I believe fosters flexibility and responsiveness to change. By implementing sprint cycles and daily stand-ups, I encourage collaboration while ensuring that the team remains aligned on short-term goals that contribute to long-term vision. Agile provides the framework for continuous feedback and rapid iteration, both critical in dynamic fields like AI/ML.

Staying current with trends in AI/ML and personalization involves continuous learning through various methods. I regularly attend industry conferences, participate in webinars, and engage with thought leaders on platforms like LinkedIn. Additionally, I subscribe to relevant journals and newsletters to keep my knowledge fresh and consider how these trends can be applied to our product strategy at Visa.

I am most excited about the potential for AI to deeply personalize user experiences within the payments ecosystem. The ability to harness data responsibly to create tailored services that boost consumer engagement and satisfaction is revolutionary. Additionally, the opportunities for innovation in fraud detection and streamlined transactions through AI make this an exhilarating time in our industry.