Director, Product Management - Personalization - job 16 of 20

As the Director of Product Management - Personalization at Visa, you'll be responsible for leading the product vision and strategy for personalization initiatives. This includes collaborating closely with cross-functional teams to develop AI and ML products that enhance customer experiences in the payments ecosystem. You'll oversee the implementation of personalization capabilities, ensuring they align with our data strategies, and drive the development of innovative features that connect consumers to tailored offerings.

To be considered for the Director of Product Management - Personalization role at Visa, candidates should possess a strong background in product management, especially within AI and ML environments. A proven track record of leading successful product strategies in a data-centric context is essential. Additionally, excellent leadership, communication, and collaboration skills are necessary to work effectively with cross-functional teams and drive initiatives within the Global Data Office.

In this role, you will engage in high-impact projects aimed at enhancing personalization within Visa's services. This includes developing innovative AI/ML products that leverage data tokens and other personalization strategies. You will work on initiatives that link consumers with products and services effectively, ensuring that the needs of users are met while aligning with Visa's data values and business objectives.

The personalization strategy is a crucial aspect of Visa's broader data initiative, aimed at unlocking the value of data for consumers, businesses, and communities. As the Director of Product Management - Personalization, you'll contribute to shaping how Visa operates within this landscape by developing products that leverage data responsibly, enhancing user engagement, and driving growth through tailored experiences across the payments ecosystem.

The work environment for the Director of Product Management - Personalization at Visa is driven by collaboration, innovation, and flexibility. This hybrid position allows for a balance of in-office engagement and remote work, fostering a culture of teamwork while enabling you to take ownership of your projects. You'll join a talented team that is enthusiastic about advancing personalization and responding to the evolving needs of consumers in the payment space.

When developing a product strategy in a data-driven environment, I focus on three key steps. First, I analyze market and consumer data to identify opportunities and gaps. Then, I collaborate with cross-functional teams to align on objectives and capabilities needed. Finally, I establish clear metrics for success that directly relate to consumer engagement and satisfaction.

To prioritize features for an AI/ML product, I evaluate them based on customer impact, feasibility, and alignment with our overall strategic goals. I regularly engage with stakeholders to gather feedback and use data analytics to understand user behavior, thereby ensuring that we prioritize the features that will drive the most value for users and the business.

In a previous role, we faced significant resistance to the adoption of a new AI product. To address this, I organized workshops to educate stakeholders on the product’s benefits and provided direct support during implementation. By fostering open communication and demonstrating the product's value, we were able to increase adoption and successfully achieve our target metrics.

For measuring the success of personalization initiatives, I prioritize metrics such as user engagement rates, conversion rates, and customer lifetime value. Additionally, I track feedback from users to understand their perceptions of personalization efforts and whether they enhance their experience, allowing for iterative improvements.

I ensure cross-functional teamwork by establishing clear communication channels and regular check-ins across teams. I also promote a shared vision for the product and encourage collaboration by involving key stakeholders early in the product development process to gather insights and ensure alignment of goals.

In a recent project, I used user behavior data to identify patterns indicating dissatisfaction with a specific feature. By conducting further analysis and A/B testing on proposed changes, we were able to enhance the feature effectively, leading to increased user satisfaction and improved engagement metrics.

I believe the future of personalization in the payments industry lies in leveraging advanced AI and data analytics to create hyper-personalized experiences. By understanding consumers at a granular level, we can tailor security measures, product recommendations, and communication strategies, thereby enhancing trust and customer loyalty.

I stay updated on trends in AI and product management through a combination of industry publications, webinars, networking with professionals, and attending conferences. Additionally, I actively participate in communities and forums focused on innovation in AI, which allows me to exchange ideas and gain insights from experts.

Customer feedback is integral to my product management process. I regularly solicit input through surveys, focus groups, and user testing sessions to gather insights on product performance and customer needs. This feedback informs our development cycles and helps prioritize enhancements to ensure we are meeting user expectations.

In a previous position, market feedback indicated that a planned feature wouldn’t meet user needs as anticipated. I called for a team brainstorming session to pivot our strategy, leveraging our insights to shift focus towards a different feature that ultimately resonated more with our users. This adaptability allowed us to enhance our product's relevance in the market.