Director - North America Product - job 1 of 21

The Director - North America Product at [Company Name] has pivotal responsibilities, including analyzing data quality trends within the US Business and Commercial issuer portfolios and developing a robust data quality program. This involves engaging with external partners, providing subject matter expertise, and maintaining a comprehensive understanding of the commercial payment landscape. Additionally, the role includes statistical analysis of data quality trending and providing effective updates to stakeholders, making it essential for success in this position.

To qualify for the Director - North America Product at [Company Name], candidates should possess strong leadership and communication skills, with experience in data quality management within the payments sector. A deep understanding of the commercial payment landscape is essential, as well as the ability to work collaboratively with stakeholders across various levels. Candidates should also be comfortable operating in a fast-paced environment and be adept at making informed decisions independently.

A Director - North America Product at [Company Name] can look forward to a hybrid work environment that emphasizes flexibility and collaboration. Expect to engage with various cross-functional teams and external clients while thriving in a customer-focused setting. This role is designed for someone who enjoys working in a dynamic, rapidly changing landscape and values the opportunity to make impactful decisions.

Stakeholder engagement is a critical component of the Director - North America Product role at [Company Name]. The individual in this position is responsible for interacting with diverse stakeholders across the organization and with external clients. Building strong relationships and providing the necessary educational support and execution plans related to issuer reporting is vital for delivering results and enhancing data quality across the portfolio.

The Director - North America Product plays a key role in contributing to the data quality program at [Company Name] by analyzing data quality trends, implementing comprehensive plans, and providing statistical insights. This role involves leading initiatives that enhance data integrity and ensuring that all parties engage effectively, thus driving improvements in the issuer reporting landscape. Your input will be instrumental in shaping the future of data quality at [Company Name].

When answering this question, provide specific examples of data quality programs you have developed or managed in previous roles. Highlight any successful strategies you implemented that resulted in improved data accuracy and stakeholder engagement.

Discuss your approach to collaborating with diverse teams. Emphasize the importance of communication, setting clear expectations, and maintaining engagement with all stakeholders to ensure everyone is aligned with the project goals.

Share the statistical techniques and tools you have utilized to analyze data trends. Explain how you apply these analyses to derive actionable insights and make data-driven decisions that support your initiatives.

Identify specific challenges related to data quality you’ve encountered in past roles. Discuss the strategies you employed to address these challenges, showcasing your problem-solving skills and ability to adapt.

Illustrate how you tailor your communication based on the audience and the information being shared. Mention the formats you used, such as presentations or reports, and any feedback you received from stakeholders.

Explain your approach to setting priorities, including how you assess project impact, deadlines, and resource availability. Emphasize your organizational skills and ability to adapt as project needs change.

Share your insights about the commercial payment landscape, focusing on key trends, challenges, and opportunities. Relate your understanding to how it impacts your vision for data quality improvements in this role.

Discuss your strategies for fostering relationships with external partners, including regular check-ins, educational initiatives, and follow-up mechanisms that ensure alignment and commitment to improving data quality.

Mention any specific tools or systems you've employed to monitor data quality, explaining how these tools helped you track progress and make informed decisions based on real-time data.

Talk about your methods for professional development, such as attending industry conferences, participating in webinars, or engaging with professional communities. Highlight how this knowledge informs your role and strategies.