This role pays more than
80%
of similar roles. Most pay
$137,181–$220,300
— the shaded band above.
At the midpoint, this role pays about
$235k
versus about
$179k
for comparable roles.
Based on 240 similar postings.
Employer
About Visa
Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services
Visa currently has
102 open roles
on FindRole.
Listed pay typically runs
$146,200–$233,700
across 98 roles with salary data.
The Marketing Data Platform Specialist joins a team focused on strengthening the data foundation for Visa Marketing 360, a global marketing automation and personalization platform. This role involves designing and maintaining scalable data pipelines, managing data models, and ensuring the integrity of internal and client-provided datasets. The specialist will perform data cleansing, transformation, and enrichment to support campaign activation, while collaborating with cross-functional teams to translate complex requirements into robust data structures. Key responsibilities include building performance dashboards for executive visibility, implementing AI-enabled workflows for automation, and managing data governance standards. To succeed, the candidate must possess expertise in SQL, large-scale data environments, cloud platforms, and tools like Tableau, Power BI, or Looker. The role solves critical challenges in data onboarding, quality monitoring, and audience segmentation to drive effective marketing measurement and personalization.
Design, build, and maintain scalable data pipelines to integrate internal and external sources for marketing automation and personalization.
Lead the client data ingestion process by defining requirements, validating files, and ensuring data is approved for campaign use.
Perform data cleansing, transformation, and enrichment to create high-quality datasets for targeting and reporting.
Develop and maintain a flexible data model that supports evolving business rules and diverse marketing requirements.
Establish data governance standards and monitoring processes to ensure accuracy, privacy compliance, and quality across all platforms.
Build and maintain performance dashboards to track campaign KPIs and provide actionable insights for executive visibility.
Integrate predictive models and AI-enabled workflows to improve audience segmentation and operational efficiency.
Provide technical guidance to marketing and operations teams on data readiness, dashboard usage, and best practices.
What we're looking for
8+ years of relevant experience with a Bachelor’s degree, or 5 years with an Advanced Degree, or 2 years with a PhD, or 11+ years of total experience.
A Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Data Science, Information Systems, or a related technical field (preferred).
Master’s degree in Data Science, Big Data Engineering, Statistics, Information Systems, Business Analytics, or a related technical discipline (preferred).
7+ years of experience in data engineering, data management, marketing data operations, business intelligence, analytics, or related roles (preferred).
Experience designing and maintaining scalable data pipelines, integrations, and data models for marketing activation and reporting (preferred).
Proficiency in SQL and analytical skills within large-scale data environments, cloud platforms, or big data ecosystems (preferred).
Experience with dashboarding tools like Tableau, Power BI, or Looker to support campaign performance reporting (preferred).
Experience with MarTech platforms including marketing automation, personalization, CRM, or CDP (preferred).
Microservices
Distributed Systems
Data Architecture
NoSQL
Cloud-Native
Data Pipelines
Marketing Automation
LLM
AI Infrastructure
Observability
Identity Resolution
Consent Management
Data Governance
Release Management
Incident Response
SQL
Python
R
Power BI
Data Science
A/B Testing
Marketing Analytics
Data Visualization
Campaign Measurement
Incrementality Measurement
Segmentation
Targeting
Personalization
reporting, dashboards