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The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard’s data quality program and driving data quality improvements. We ensure data is of the highest quality and is fit-for-purpose to support business and analytic uses. Our team designs controls and solutions that help protect the integrity of the network. We collaborate with regional and global product teams, as well as Services Technology, to identify and prioritize data quality investments throughout the lifecycle of our business. This includes working with standards governing bodies such as ISO to define effective data formats and other standards. Additionally, the team works with tech and product to identify, plan mitigations and remediate all manner of data quality issues. The team is also responsible for the management of key data assets and capabilities supporting DQ, such as our merchant location and company master data, and the Enterprise Data Quality tooling used to profile and monitor data. Finally the team works to launch data quality programs that enforce data quality of data coming into the ecosystem.
Job Responsibility:
Program Leadership and Planning: Act as a business owner for data quality collection and improvement program investments
Execute a strategy to effectively maximize our programs to have the greatest impact on data quality
Define and track program KPIs, using data-driven insights to inform continuous improvement and executive reporting
Be a member of a high-performing team focused on operational excellence, and data quality improvement
Develop project plans and lead delivery of moderately sized projects across a matrixed team
Identify issues, risks, and dependencies and develop mitigation plans
Program Governance: Collaborate with cross-functional teams including Product, Services Tech, and Data Strategy to define platform requirements and success metrics
Partner with technology, internal audit and compliance teams to ensure platforms meet regulatory and security requirements
Manage associated revenue and expenses to most effectively realize the business objective of improved data quality
Communication and Alignment: Work closely with customer teams to assist them in understanding requirements and maintaining compliance
Provide second level support for customers
Assist in the definition of operational processes
Develop project plans and lead delivery of moderately sized projects across a matrixed team
Identify issues, risks, and dependencies and develop mitigation plans
Run queries and create reports to identify issues and opportunities, and determine the impacts of our investments
Requirements:
Organizational skills and project management: Proven ability to manage and successfully deliver projects in a matrix environment with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines
Accountability: Demonstrated ability to operate with independence and autonomy and with a strong attention to detail and quality
Communication and Influencing skills: Excellent influencing, interpersonal, and communication skills, with demonstrated ability to communicate to executives, peers, and staff with impact, eloquence, and authenticity
Analytic mindset: analytical and strong problem-solving skills, using a fact-driven approach to program management, ability to interpret and synthesize data, pressure test and validate hypothesis, and challenge the status quo
Technical judgement: Ability to understand the reasons behind architectural decisions and to use technical judgment to challenge and validate assumptions, enlisting engineering support to vet architecture as required