Manager, Marketing Data Engineer
Visa
Manager, Marketing Data Engineer
Job Description
About UsVisa 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 DescriptionKey ResponsibilitiesMarketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platformsFirst-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiativesCRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profilesData Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA)Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectivenessCross-functional Collaboration: Partner with Marketing, Insights & Analytics team, Data Science, and other functions to translate requirements into technical solutions; define audience segmentation and measurement requirements for campaign delivery. Significant collaboration with marketing data steward to ensure data ingestion requirements, audience qualification, and data quality standards are met. Support the management of unique consumer identifiers, identity resolution processes, audience matching, and privacy-compliant tokenization methodologies to enable audience activation and measurement.Required SkillsStrong programming skills in Python with experience in PySpark and Spark SQLAdvanced SQL knowledge for complex data manipulation and analyticsKnowledge of data ingestion requirements for marketing automation systems.Experience with Hadoop ecosystem components (HDFS, Hive, YARN)Familiarity with data orchestration tools (Airflow, Oozie, or similar)Understanding of experimentation and data science methodologies: A/B testing, incrementality testing, and lift measurementExperience with marketing automation platforms such as WebEngage, Adobe Campaign, Salesforce Marketing Cloud, or similar platforms.Understanding of marketing audience deployment and campaign targeting workflows, and segmenting customer audiences for deployment across email, mobile, web, and paid media activation channels.Experience with customer identity resolution, audience matching, unique consumer identifiers, hashed identifiers, and tokenization methodologies.Understanding of privacy-compliant customer matching practices.Knowledge of first-party data strategies and privacy-compliant measurement approachesExperience with data visualization tools (Tableau, Power BI, Google Data studio)Strong problem-solving abilities and analytical thinkingDemonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs requirePreferred SkillsExperience designing and conducting survey-based marketing research, including audience sampling, hold-out group creation, questionnaire design, audience selection, hold-out group methodologies, response analysis, and participation incentive programs.Demonstrated experience in customer life cycle analyticsPrior marketing analytics skills, within the B2B space or product marketing data management. Knowledge of building dashboards to measure leads generation and qualificationExperience analyzing data related to marketing activities such as content creation, events such as trade shows & conferences, Webinars, partner led marketing, CRM through email, media campaigns etcSelf-starter, able to work and problem solve independently with minimal supervisionVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.QualificationsBasic Qualifications:Bachelor's or Master's degree in Computer Science, Data/CRM Data Analytics, marketing technology, audience strategy or related field8+ years of experience in data analytics or data engineering, preferably with marketing dataCertifications in cloud platforms, Salesforce, or data management are a plusDemonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require.Business-level English proficiency with strong written and verbal communication skills, including the ability to prepare presentations, communicate analytical findings, and engage effectively with senior stakeholders.Experience in data visualization software (e.g., Tableau, QlikView, PowerBI).Experience in analytics with a focus on data visualization.Experience leading design discovery meetings with end-users.Experience working in big data environments.Experience working in Agile or fast-paced and dynamic environments.Experience with SQL and understanding of data modeling concepts such as Star Schemas/Snowflake.Foundational knowledge of probability and statistics.Experience managing multiple priorities and working cross-functionally in a matrixed organization.Experience visualizing data with tools like Tableau; advanced Tableau skills are highly desired.Preferred Qualifications:Proven experience in service level management, SLA reporting, or a similar role within a technology-driven environment.Advanced competence in Excel, PowerPoint, and Tableau.Experience in mentoring and team collaboration.Visa experience or knowledge of the payments industry is a plus.Visa is an EEO EmployerQualified 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.
Locations
- SG - Singapore
Skills Required
- PySparkintermediate
- Hadoop ecosystem componentsintermediate
- data orchestration toolsintermediate
- marketing automation platforms such as WebEngageintermediate
- customer identity resolutionintermediate
- first-party data strategiesintermediate
- data visualization toolsintermediate
- data analyticsintermediate
- strong writtenintermediate
- data visualization softwareintermediate
- analytics with a focus on data visualizationintermediate
- SQLintermediate
- probabilityintermediate
- customer life cycle analyticsintermediate
- building dashboards to measure leads generationintermediate
- service level managementintermediate
- mentoringintermediate
- payments industry is a plusintermediate
Required Qualifications
- Strong programming skills in Python with experience in PySpark and Spark SQL (experience)
- Advanced SQL knowledge for complex data manipulation and analytics (experience)
- Knowledge of data ingestion requirements for marketing automation systems. (experience)
- Experience with Hadoop ecosystem components (HDFS, Hive, YARN) (experience)
- Familiarity with data orchestration tools (Airflow, Oozie, or similar) (experience)
- Understanding of experimentation and data science methodologies: A/B testing, incrementality testing, and lift measurement (experience)
- Experience with marketing automation platforms such as WebEngage, Adobe Campaign, Salesforce Marketing Cloud, or similar platforms. (experience)
- Understanding of marketing audience deployment and campaign targeting workflows, and segmenting customer audiences for deployment across email, mobile, web, and paid media activation channels. (experience)
- Experience with customer identity resolution, audience matching, unique consumer identifiers, hashed identifiers, and tokenization methodologies. (experience)
- Understanding of privacy-compliant customer matching practices. (experience)
- Knowledge of first-party data strategies and privacy-compliant measurement approaches (experience)
- Experience with data visualization tools (Tableau, Power BI, Google Data studio) (experience)
- Strong problem-solving abilities and analytical thinking (experience)
- Demonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require (experience)
- Bachelor's or Master's degree in Computer Science, Data/CRM Data Analytics, marketing technology, audience strategy or related field (degree in master)
- 8+ years of experience in data analytics or data engineering, preferably with marketing data (experience, 8 years)
- Certifications in cloud platforms, Salesforce, or data management are a plus (certification)
- Demonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require. (experience)
- Business-level English proficiency with strong written and verbal communication skills, including the ability to prepare presentations, communicate analytical findings, and engage effectively with senior stakeholders. (experience)
- Experience in data visualization software (e.g., Tableau, QlikView, PowerBI). (experience)
- Experience in analytics with a focus on data visualization. (experience)
- Experience leading design discovery meetings with end-users. (experience)
- Experience working in big data environments. (experience)
- Experience working in Agile or fast-paced and dynamic environments. (experience)
- Experience with SQL and understanding of data modeling concepts such as Star Schemas/Snowflake. (experience)
- Foundational knowledge of probability and statistics. (experience)
- Experience managing multiple priorities and working cross-functionally in a matrixed organization. (experience)
- Experience visualizing data with tools like Tableau; advanced Tableau skills are highly desired. (experience)
- Demonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require. (experience)
- Business-level English proficiency with strong written and verbal communication skills, including the ability to prepare presentations, communicate analytical findings, and engage effectively with senior stakeholders. (experience)
Preferred Qualifications
- Experience designing and conducting survey-based marketing research, including audience sampling, hold-out group creation, questionnaire design, audience selection, hold-out group methodologies, response analysis, and participation incentive programs. (experience)
- Demonstrated experience in customer life cycle analytics (experience)
- Prior marketing analytics skills, within the B2B space or product marketing data management. Knowledge of building dashboards to measure leads generation and qualification (experience)
- Experience analyzing data related to marketing activities such as content creation, events such as trade shows & conferences, Webinars, partner led marketing, CRM through email, media campaigns etc (experience)
- Self-starter, able to work and problem solve independently with minimal supervision (experience)
- Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. (experience)
- Proven experience in service level management, SLA reporting, or a similar role within a technology-driven environment. (experience)
- Advanced competence in Excel, PowerPoint, and Tableau. (experience)
- Experience in mentoring and team collaboration. (experience)
- Visa experience or knowledge of the payments industry is a plus. (experience)
Responsibilities
- Marketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platforms
- First-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiatives
- CRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profiles
- Data Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA)
- Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectiveness
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