Marketing Data Platform Specialist

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

We are seeking a Marketing Data Platform Specialist with strong data engineering, data management, and analytics capabilities to play a critical role in strengthening the data foundation for Visa Marketing 360, Visa’s global marketing automation and personalization platform. This role will partner closely with technology, product, Marketing Operations, Marketing Analytics, regional teams, and client-facing stakeholders to ensure that internal and client-provided data is properly onboarded, ingested, validated, governed, and activated for campaign execution, personalization, reporting, and measurement.

The Marketing Data Platform Specialist will support the design and optimization of scalable data pipelines, enabling Client Data Ingestion, validating data readiness, resolving data quality issues, and ensuring that data reviews and approvals are completed before use in campaigns or reporting. The role will also help translate campaign and audience data into performance dashboards, measurement inputs, and actionable insights that support optimization and executive visibility across Visa Marketing 360.

Main Responsibilities:

Data Engineering & Integration

• 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.

Data Model Definition & Governance

• 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.

Data Analytics & Measurement

• 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.

• Support campaign performance reporting and measurement by preparing validated datasets, aligning KPI definitions, enabling control group or A/B testing analysis where applicable, and ensuring reporting inputs are accurate, timely, and ready for stakeholder review.

• Analyze campaign, audience, and customer engagement data to identify trends, patterns, and opportunities to improve targeting, personalization, and campaign performance.

• Partner with marketing and analytics teams to translate data into actionable insights for campaign planning, optimization, and performance storytelling.

AI & Automation

• Leverage automation and AI-enabled workflows to improve data preparation, segmentation, validation, quality monitoring, and campaign optimization processes.

• Evaluate emerging analytics and AI capabilities that can improve data readiness, decision-making speed, personalization quality, and operational efficiency within Visa Marketing 360.

Collaboration & Enablement

• Work closely with product, technology, Marketing Operations, Marketing Analytics, regional teams, and client-facing stakeholders to align data capabilities with Visa Marketing 360 platform strategy, campaign execution needs, and client data onboarding priorities.

• Partner with Marketing Operations and regional teams to ensure data readiness for campaign execution, including audience availability, segmentation inputs, quality checks, and approval workflows.

• Provide guidance to marketing, operations, analytics, and regional teams on data readiness, dashboard usage, KPI interpretation, data quality expectations, and best practices for preparing client data for Visa Marketing 360 activation and measurement.

Visarequiresat least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 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 Qualifications:

• 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.
• Strong SQL and analytical skills, with experience working with large-scale data environments, cloud data platforms, data warehouses, or big data ecosystems.
• Strong cross-functional collaboration, project management, and communication skills, with the ability to translate complex technical topics into clear business language.
• Experience working with marketing automation, personalization, customer engagement, CRM, CDP, or MarTech platforms.
• Experience supporting client data onboarding, marketing audience creation, segmentation, or campaign activation use cases.
• Knowledge of campaign measurement approaches, including KPI definition, control groups, A/B testing, audience performance analysis, incrementality, or attribution concepts.
• Practical understanding of AI/ML-enabled segmentation, predictive modeling, personalization, automation, or data quality monitoring in marketing or customer engagement environments.
• Experience partnering with Marketing Analytics teams to build campaign performance dashboards, reporting views, executive summaries, or optimization insights.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.