Director - North America Product - job 7 of 21

The Director - North America Product is responsible for analyzing data quality trends, developing a comprehensive data quality program, and providing subject matter expertise to external partners such as issuing banks and issuers. This role requires a deep understanding of the commercial payment landscape, with a strong focus on managing relationships and ensuring data quality across various stakeholders.

Candidates applying for the Director - North America Product role should possess strong leadership and interpersonal skills, with a relevant background in data analytics and project management. A thorough understanding of the commercial payment landscape and prior experience working with data quality initiatives are essential for success in this role.

The Director - North America Product can significantly impact the company's data quality initiatives by implementing effective programs that address data quality issues, providing statistical analysis on trends, and collaborating with various teams to drive improvements. Their leadership will foster a culture of quality and accountability within the organization.

The work environment for the Director - North America Product is fast-paced and dynamic, characterized by a hybrid model that balances in-office work with remote flexibility. Collaboration with stakeholders across multiple functions is common, creating an engaging atmosphere focused on customer success.

Key skills for success as a Director - North America Product include strong analytical abilities, effective communication, and excellent collaborative skills. The ability to navigate cross-functional relationships, demonstrate independence in decision-making, and maintain a customer-focused approach are also crucial.

In responding to this question, share specific examples of how you've analyzed data quality trends, perhaps discussing tools or metrics you've used to measure success and how your insights influenced business decisions.

When answering, outline your methodology for assessing current data quality, identifying gaps, and designing targeted initiatives. Discuss how you would collaborate with stakeholders throughout the implementation process.

Elaborate on your approach to building relationships with external partners, focusing on communication strategies, educating them on data quality importance, and aligning issues with actionable solutions that benefit both parties.

Share your time management strategies, including techniques like prioritization, delegation, and tools you use to keep track of multiple projects while ensuring successful execution and stakeholder engagement.

Describe a situation where you led a cross-functional project, emphasizing collaboration, communication, and how you overcame any challenges to achieve project goals effectively.

Highlight your approach to aligning your team's objectives with company goals through regular updates, collaborative goal-setting sessions, and fostering an environment where feedback and communication are encouraged.

Discuss the metrics and tools you leverage to monitor data quality progress, how you would analyze that data for reporting purposes, and how you would communicate those findings to different audience levels.

Discuss specific statistical methods you've used to assess data quality, including any software or tools, how those analyses informed your decision-making, and the outcomes of implementing changes based on those insights.

Emphasize your educational approach, focusing on building educational programs, workshops, or resources designed to help clients understand the significance of data quality and best practices for improvement.

Discuss your perspective on challenges such as compliance, data integration, and evolving technologies, along with strategies you believe are effective in addressing these challenges.