Director, Product Management - Personalization - job 5 of 20

As the Director, Product Management - Personalization at Visa, your key responsibilities will include steering the product strategy for AI-driven personalization capabilities, collaborating with diverse teams to develop innovative solutions, and ensuring the responsible use of data in creating valuable products. You will also work closely with the Global Data Office to align product efforts with Visa’s overall data strategy.

To qualify for the Director, Product Management - Personalization position at Visa, candidates should have a strong background in product management and significant experience in AI/ML product development. Specific qualifications may include a proven track record of leading cross-functional teams, expertise in personalization technologies, and familiarity with data governance and privacy policies.

The Director, Product Management - Personalization plays a crucial role in Visa's data strategy by leading the development of AI and machine learning products that enhance personalization within the payments ecosystem. This role is essential in linking consumers with tailored products and services, thus driving engagement and support Visa's commitment to responsible data use.

Success in the Director, Product Management - Personalization role at Visa requires strong leadership and strategic thinking skills, a deep understanding of AI and machine learning technologies, as well as excellent communication abilities to work effectively with cross-functional teams. Additionally, problem-solving skills and a passion for innovation in data utilization are vital.

The work culture at Visa for the Director, Product Management - Personalization position is collaborative and dynamic, centered around innovation in AI and data technology. As part of a hybrid team, you'll enjoy flexibility while benefiting from shared enthusiasm and commitment to excellence in developing cutting-edge personalization capabilities for the payments industry.

In product management for AI/ML, I focus on understanding user needs, leveraging data insights to inform decisions, and collaborating with technical teams to create scalable products. I believe in rapid iteration and maintaining close communication with stakeholders to align our strategies.

Certainly! In my previous role, I led a project to develop a personalized recommendation engine. By employing data analytics and user testing, we increased user engagement by 40%. This success stemmed from collaborating closely with cross-functional teams and iterating based on feedback.

Key metrics for evaluating a personalization product include user engagement rates, conversion rates, customer satisfaction scores, and retention rates, as these indicators reflect how well the product meets user needs and drives business outcomes.

I ensure the responsible use of data by adhering to established governance policies, conducting regular audits, and fostering a culture of awareness around privacy concerns within my team. Staying informed about regulations and ethical data use is also paramount.

Throughout my career, I have extensively collaborated with engineers, marketers, and designers. I facilitate open communication and establish shared goals to ensure everyone is aligned with the product vision, leading to successful project outcomes.

One of the main challenges of managing AI/ML products is handling the complexity of algorithms and data sets. It’s crucial to bridge the gap between technical concepts and user understanding, while ensuring that the product delivers tangible benefits.

I regularly engage with industry publications, attend webinars, and participate in professional networks focused on AI and data science. Continuous learning helps me identify emerging trends that can inform product strategies.

In a previous role, we faced unexpected customer feedback that indicated a major flaw in our personalization feature. I coordinated an urgent response, utilizing customer insights to pivot our strategy, which ultimately improved user satisfaction dramatically.

User feedback is vital in every stage of the product development process; it guides the initial concept validation and ensures that our solutions align with customer needs. I prioritize user testing to gather insights for continuous iteration.

Success for a personalization product is defined by its impact on user experience and business metrics. High engagement rates, positive user feedback, and measurable increases in sales or conversions are all strong indicators of success.