VP of Cloud Data Architecture & Migration

Synchrony; Chicago (IL); Hybrid; USD 170,000 - 290,000; Full time

Benefits offered by this job

Flexible work options

Employee resource groups

Competitive compensation

Job summary

Synchrony is seeking a VP, Senior Cloud Data Architect & Migration Leader to steer enterprise-scale cloud data migration strategy and execution across modern data ecosystems. You will shape secure, scalable, cloud-native data capabilities supporting operational workloads, AI analytics, and regulatory needs.

You will partner with senior business, technology, security, risk, data, analytics, product, and ops teams to prioritize outcomes, drive reusable data capabilities, and deliver measurable

Qualifications

• Bachelor's degree with 8+ years in IT, data architecture, cloud architecture, or related roles.
• 5+ years leading data platform modernization, cloud migration, or large-scale tech transformations.
• Experience with cloud-native data platforms, data lakes/lakehouse, data governance, security, and analytics ecosystems.

Responsibilities

• Lead enterprise cloud data migration strategy, roadmap, and execution across modernization initiatives.
• Define vision, capabilities, and adoption strategy for cloud data platforms and products.
• Communicate with senior stakeholders and translate complex tech into business value.

Skills

Cloud data architecture

Data migration leadership

Stakeholder engagement

Executive communication

Agile / SAFe experience

Data governance & security

Product mindset

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Management, Business, or related field

Job description

Synchrony is seeking a VP, Senior Cloud Data Architect & Migration Leader to steer enterprise-scale cloud data migration strategy and execution across modern data ecosystems. You will shape secure, scalable, cloud-native data capabilities supporting operational workloads, AI analytics, and regulatory needs.

You will partner with senior business, technology, security, risk, data, analytics, product, and ops teams to prioritize outcomes, drive reusable data capabilities, and deliver measurable