Director - North America Product - job 14 of 21

The primary responsibilities of the Director - North America Product include analyzing data quality trends, developing a comprehensive data quality program, providing subject matter expertise to external partners, and offering program status updates to various stakeholders. Additionally, this role entails maintaining a monitoring system to track data provider engagement and conducting statistical analysis on data quality trending.

To be successful as a Director - North America Product, candidates should possess strong leadership and interpersonal skills, a deep understanding of the commercial payment landscape, and the ability to collaborate effectively with stakeholders. Experience in data quality management, project management, and excellent communication skills are also crucial.

The Director - North America Product interacts with external partners by providing subject matter expertise and support for issuer data quality reviews. This role involves developing and implementing comprehensive plans for issuer reporting and changes, ensuring that external partners at issuing banks and processors are well-informed and supported throughout the process.

Necessary skills for thriving in a fast-paced environment as a Director - North America Product include strong organizational capabilities, effective communication skills, and the ability to make informed, independent decisions. A proactive approach to problem-solving and adaptability to rapidly changing situations are also vital.

Candidates can expect a thorough interview process that assesses their expertise in data quality management, understanding of the commercial payment landscape, and their interpersonal and leadership skills. Interviewers will likely engage in discussions about past experiences and problem-solving scenarios relevant to the position.

A strong answer will include specific examples of data quality programs you've developed or managed, the challenges faced, and the outcomes achieved. Highlight your approach to identifying data quality issues and the steps taken to resolve them.

Discuss your strategies for keeping stakeholders informed and involved, such as regular updates, feedback loops, and using collaborative tools. Emphasize the importance of clear communication and building relationships with stakeholders.

Mention specific tools or software you're familiar with for statistical analysis, as well as the methodologies you employ to analyze trends and draw meaningful insights from data quality metrics.

Provide a detailed account of a specific issue, your analysis, the solutions implemented, and the results. Focus on your critical thinking and problem-solving abilities in navigating the situation.

Explain your approach to working effectively in a matrix structure, such as seeking input from various teams, being flexible in your communication styles, and aligning goals across departments.

Discuss your methods for staying informed about industry trends, including attending conferences, reading industry publications, and networking with peers. Highlight your proactive approach to continuous learning.

Share an instance where you led a project involving different teams, focusing on your leadership style, how you managed conflicts, and how you achieved a successful outcome.

Outline your strategies for maintaining clear and effective communication with external partners, such as setting expectations, providing regular updates, and addressing any concerns promptly.

Discuss specific tools or platforms you have used to monitor data quality, explaining how they help track metrics and engage data providers effectively.

Describe your approach to reassessing and adjusting your strategy based on data insights, stakeholder feedback, and potential external factors affecting outcomes, emphasizing your adaptability and analytical skills.