Senior Manager, Data Quality

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

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  The data quality manager will be responsible for ensuring the quality of data by implementing various data quality checks and measures. This includes establishing data standards and policies, and ensuring adherence to these standards with a focus on improvement of data quality and trust

• Champion and mature the data governance and quality processes and programs including metadata management, data lineage & literacy, user access management, data flow diagrams and documentation

• Work collaboratively with cross-functional teams, including engineering, operations, and business groups to ensure that all quality initiatives are aligned with Visa's overall business objectives

• Update and maintain data catalog and report inventory with contextual information and manage quality control metrics and testing activities, including establishing sampling plans and procedures

• Responsible for defining and implementing data quality checks and data reconciliation rules in partnership with Ethics & Compliance's (E&C) business stakeholders, technical data architects and data engineers to ensure data integrity

• Engage with stakeholders across the organization to identify data quality needs, draft requirements, assist in the development of data quality checks, track, monitor, and report of the overall health of data in the organization

• Ensure that all quality-related documentation is complete and accurate, including specifications, procedures, and process flows

• Establish success metrics and assist with preparation of material for regular team, leadership, and governance forums to review progress and initiatives with key stakeholders

• Leverage AI to establish strong preventive action systems to continually improve operational performance and performance in meeting regulatory standards

• Work closely with our solution vendors on roadmap items for implementation and provide feedback for additional improvements that would benefit the organization

• Analyze and extract data from various sources to build user-friendly analytic solutions for business use

• Partner with data owners and data stewards to develop workflows, dashboards, and automation of data governance activities within our data governance tools

• Follow data management processes and procedures and provide input to the creation of data definitions, business rules and data access methods

• Perform functional, regression, usability tests, etc. as applicable for both new and existing datasets, systems, reports, and dashboards

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

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  Deep understanding of data quality management, data governance & standards, and associated technologies
• Proven experience in establishing and operationalizing data quality management capabilities in a complex, global organization.
• Practical knowledge of industry frameworks for Data Quality, such as DAMA
• Detailed experience with Informatica Data Quality, knowledge of SAP MDG as a Data Quality tool
• Demonstrable experience in leveraging data catalogues to support Data Quality use case delivery
• Ability to write SQL queries to conduct data validations and probe quality issues with data
• Ability to develop technical expertise and understanding of system interdependencies and their impacts on Test Data
• Strong experience in Project Delivery Methodologies such as SDLC, Iterative, Agile, Scrum, Kanban
• Experience with test automation tools and frameworks
• Ability to abstract technical details and effectively communicate to audiences at different levels
• Excellent listening, communication, leadership, and presentation skills. Strong organizational and documentation skills
• Ability to develop and maintain relationships with internal partners. Proficient at balancing multiple efforts at a time.
• Ability to navigate through ambiguity to clarify objectives and execution plans
• Exemplify flexible thinking, curiosity, self-motivation, dedication to quality, focus on the details, and a positive perspective.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.