Responsibilities

• Partner with technology teams to design, build, and maintain the data foundation and data pipelines for Visa Marketing 360, integrating internal and external data sources and supporting reliable batch, near-real-time, and real-time data availability for campaign activation, personalization, and measurement.
• Lead Client Data Ingestion enablement by partnering with clients, regional teams, technology, and product stakeholders to define data onboarding requirements, validate file readiness, coordinate ingestion timelines, resolve data issues, and ensure client data is approved and activated for Visa Marketing 360 campaign use.
• Perform data cleansing, transformation, enrichment, and validation to create high-quality datasets for campaign targeting, personalization, reporting, and measurement.
• Integrate internal predictive models and segmentation capabilities into platform workflows to support audience creation, targeting, personalization, and campaign optimization.
• Develop and maintain processes to monitor data quality, identify data gaps or anomalies, coordinate remediation with technology and business stakeholders, and ensure issues are resolved before data is used for campaign execution, reporting, or measurement.
• Design, implement, and maintain a flexible, scalable data model that supports evolving marketing campaign requirements, client data ingestion, advanced analytics, and personalization strategies.
• Ensure the data model accommodates new data sources, changing business rules, regional requirements, and client-specific data variations without disrupting existing operations.
• Collaborate with product, technology, Marketing Operations, analytics, and regional teams to translate business requirements into robust data structures, data mapping rules, and operational workflows.
• Establish data governance standards, review routines, and approval processes to maintain consistency, accuracy, privacy compliance, and business readiness across Visa Marketing 360 datasets.
• Partner closely with Marketing Analytics teams to build, enhance, and maintain campaign performance dashboards that track campaign delivery, audience performance, engagement, conversion, and other KPIs needed for reporting, optimization, and executive visibility.

Requirements

• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, Data Science, Information Systems, or a related quantitative or technical field.
• 7+ years of experience in data engineering, data management, marketing data operations, business intelligence, analytics, or related data-focused roles.
• Master’s degree in Data Science, Big Data Engineering, Statistics, Information Systems, Business Analytics, or a related technical discipline.
• Proven experience designing and maintaining scalable data pipelines, integrations, and data models that support marketing activation, personalization, reporting, and measurement.
• Experience integrating internal, external, and client-provided datasets, including structured and semi-structured data sources.
• Hands-on experience preparing, cleansing, transforming, validating, and reconciling large, complex datasets for business use.
• Experience supporting data onboarding, ingestion, or integration processes, including requirements gathering, file validation, issue resolution, and stakeholder coordination.
• Strong understanding of data quality management, data governance, privacy principles, and approval processes.
• Experience with dashboarding and visualization tools such as Tableau, Power BI, or Looker to support campaign performance reporting, KPI monitoring, and stakeholder decision-making.

Benefits

• Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.