Director, Customer Data Product Development

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

The Director, Customer Data Product Development is responsible for executing and implementing CRM data capabilities that enable consistent customer visibility and effective execution across Sales, Marketing, Client Services, and Finance. This role leads delivery of CRM data models, attributes, hierarchies, and integrations, ensuring CRM data is accurately aligned with the enterprise Customer Master and reflects how customer relationships are governed and operated in practice. This role owns the end-to-end design and delivery of data visualization platforms, analytics experiences, and reusable data components that enable consistent, accessible, and high-impact decision-making across the organization. The Director partners with business and technology teams to translate defined requirements into intuitive, scalable data experiences, working CRM data solutions, manage dependencies, and drive adoption, while ensuring data quality, consistency, and usability for downstream reporting and analytics.

Essential Functions / Key Responsibilities

• Lead end-to-end delivery of customer data and analytics capabilities, including CRM data models, customer attributes, and insight-ready datasets. This would also include customer/account models, attributes, hierarchies, and reference data needed to support enterprise customer visibility.

• Own the design and evolution of analytics and data experience platforms that surface customer insights through dashboards, metrics, trends, and visualizations.

• Own CRM-to-Customer Master alignment, including mapping, survivorship rules/decisions, and ongoing data consistency across platforms and downstream consumers.

• Translate defined business requirements into implementable CRM data solutions (data model changes, integrations, enrichment, validation, and reporting readiness).

• Drive cross-functional delivery planning: scope, milestones, dependencies, risks, and execution across Product, Engineering, Data, and business stakeholders.

• Define and operationalize data quality standards for CRM data (completeness, accuracy, timeliness, consistency), including monitoring and issue remediation workflows.

• Establish reusable data and visualization components that improve consistency, speed of delivery, and adoption across teams.

• Partner with CRM platform teams to implement integrations, ensure appropriate data lineage, and reduce manual/duplicative data processes.

• Establish and maintain a clear operating model for CRM data changes (intake, prioritization, design review, release readiness, and change management).

• Enable adoption by partnering with Sales/Marketing/Client Services/Finance operations teams on training, communications, and measurable rollout plans.

• Provide leadership on tradeoffs and decisions across stakeholder priorities, balancing speed, quality, and enterprise consistency.

• Enable adoption through training, documentation, standards, and enablement for customer data products and analytics platforms.

• Collaborate with data governance teams to ensure customer data and analytics platforms consume trusted, well-defined, and compliant datasets.

• Communicate platform strategy, progress, and outcomes to senior leadership, balancing long-term platform investments with near-term business value.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications:

• 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD

• 7+ years of experience delivering data products or data capabilities in a CRM, enterprise data, analytics, or platform environment, including cross-team dependency management.

• Demonstrated ability to lead data platforms, analytics solutions, or insight products at scale.

• Strong technical fluency with data platforms, analytics, and reporting ecosystems.

• Strong stakeholder management and executive communication skills with experience influencing across Sales, Marketing, Client Services, Finance, and Technology organizations.

• Demonstrated experience implementing data models, attributes, hierarchies, and integrations in partnership with engineering and architecture teams.

• Proven ability to translate business requirements into scalable data solutions, including clear acceptance criteria and measurable outcomes.

• Experience driving data quality and operational data governance practices (standards, controls, issue management, and continuous improvement).

• Experience building analytics platforms, data visualization solutions, or reusable insight components.

• Experience working with enterprise Customer Master or customer identity resolution capabilities and aligning downstream systems to canonical customer and account definitions.

• Experience with CRM ecosystems and data integrations, including APIs, events, or ETL pipelines, and an understanding of frontline usage and reporting needs.

• Familiarity with data governance practices such as metadata management, reference and master data processes, lineage, and certification.

• Demonstrated success building adoption programs for data capability launches, including training, communications, measurement, and feedback loops.

• Experience operating in large, matrixed organizations with global stakeholders and complex change management requirements.

• Experience operating in large, matrixed organizations with complex data landscapes.

• Experience in applying emerging technologies, including AI-driven analytics, to customer data use cases.

U.S. Applicants Only

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