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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise cloud data migration strategies, defining and executing data platform modernization initiatives, and managing complex architecture across cloud environments. Proficient in stakeholder engagement, agile methodologies, and delivering measurable business outcomes in regulated industries.
Highest-signal resume keywords
Cloud Data Migration StrategyEnterprise Data ArchitectureAgile MethodologiesData GovernanceStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native Data PlatformsData LakesData WarehousingData IntegrationData ProtectionAI/Advanced AnalyticsCI/CDInfrastructure-as-CodeData Consumption PatternsQuery Performance
Soft Skills
LeadershipCoachingMentorshipCommunicationCollaboration
Tools & Technologies
AWSGCPJIRAAgile ToolsMicroservices
Industry Keywords
Financial ServicesBankingFintechRegulatory ComplianceRisk Management
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformMicroservices
About the role
Key responsibilities & impact- Lead enterprise cloud data migration strategy, roadmap, and execution across complex modernization initiatives
- Define and manage the strategic vision, capabilities, adoption strategy, and value roadmap for cloud data platforms and data products
- Provide senior leadership and architecture direction across cloud data platforms, lakehouse and data mesh patterns, event-driven architecture, API-enabled data sharing, semantic layers, AI/advanced analytics ecosystems, and operational data consumption patterns
- Drive prioritization, sequencing, and execution of migration initiatives across legacy data ecosystems
- Partner with senior business, technology, security, risk, data, analytics, operations, and product stakeholders to assess environments and deliver measurable outcomes
- Establish reusable migration frameworks, product operating models, architecture principles, design patterns, reference architectures, governance controls, and implementation standards
- Influence cross-functional enterprise architecture, engineering, product, analytics, platform, and delivery organizations
- Lead executive communications, status reporting, roadmap reviews, and decision-making forums
- Provide leadership, coaching, and mentorship to architects, product owners, engineering teams, and delivery leaders
- Evaluate emerging cloud, AI, automation, data architecture, and product delivery trends
- Perform other duties and/or special projects as assigned
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Management, Business, or related field with 8+ years of experience, OR 10+ years of hands-on experience in lieu of a bachelor’s degree
- 5+ years of applied experience leading or delivering data platform modernization, cloud migration, enterprise data architecture, data product, or large-scale technology transformation initiatives
- Experience with cloud-native data platforms, data lakes, lakehouse architectures, data warehousing, data integration, data governance, security, IAM, data protection, analytics ecosystems, and operational data capabilities
- Experience defining and executing enterprise roadmaps, migration strategies, product capability plans, adoption strategies, implementation standards, and measurable business outcomes
- Experience leading senior stakeholder engagement, executive communications, prioritization discussions, and decision-making across business, technology, architecture, security, risk, product, data, and analytics teams
- Strong understanding of data consumption patterns, query performance, user experience, data discoverability, resiliency, cost optimization, controls, and operational readiness in cloud data environments
- Agile experience using JIRA or similar Agile tools
- Ability to lead globally distributed Agile teams and manage work across multiple priorities, time zones, and delivery cadences
- Deep knowledge of SAFe Agile and experience leading complex, cross-functional initiatives at enterprise scale
- Ability and flexibility to travel for business as required
- Prior experience in credit card, banking, financial services, or fintech is desired
- Knowledge of AWS, GCP, or similar cloud platforms, including cloud-native data services, modern integration patterns, containerized platforms, and microservices-based ecosystems
- Experience with cloud automation, orchestration, CI/CD, infrastructure-as-code, and AI-enabled productivity or engineering tools
- Experience with AI, machine learning, advanced analytics, data-driven models, and high-availability operational workloads
- Experience managing sensitive data in highly regulated environments, including security, privacy, data protection, access management, risk, and compliance
- Excellent written and verbal communication skills
- Must be at least 18 years old
- High school diploma or equivalent
- Willingness to take a drug test, submit to a background investigation, and submit fingerprints
- Ability to satisfy Section 19 of the Federal Deposit Insurance Act
- Legal authorization to work in the U.S.; employment visa sponsorship is not available
Benefits
Comp & perks- Annual bonus based on individual and company performance
- Option to work from home near one of Synchrony’s Hubs or work from an office
- In-person engagement activities including business or team meetings, training, and culture events
- Inclusive culture and Employee Resource Groups (ERGs)
- Reasonable accommodation for applicants with disabilities
