VP, Senior Business Data Analyst - Cloud Data Migration

Synchrony is a financial services company seeking a VP, Senior Business Data Analyst to lead the migration of their data ecosystem to the cloud. The role involves developing data-driven insights and managing the migration roadmap while collaborating with stakeholders to ensure successful execution and adoption of cloud-based data products.

Responsibilities:

• Evolve the enterprise data usage data model that captures end-to-end user patterns, lineage, and access/behavior signals across the D&A data ecosystem (e.g., database clusters, datasets, ETL/ELT pipelines, APIs). Continuously improve and make optimization recommendations on data model, data sources, definitions, and assumptions to increase transparency into consumption patterns, utilization, and power/cost drivers of data assets
• Own the enterprise cloud data migration roadmap as the central point of coordination—driving alignment with business leaders, product/technology partners, and vendors on roadmap structure, timelines, dependencies, and prioritized sequencing of data asset migrations. Deliver regular, executive-ready updates to cross-functional stakeholders on progress, risks, issues, and decisions needed
• Provide analysis and actionable insights to optimize migration execution, including:
• Manage existing migration sequencing that enables data analysts and downstream consumers to successfully transition to cloud-based data products
• Identification of PII and other sensitive data (at rest and in transit) within each migration wave, and coordination of required controls and mitigations
• Disposition recommendations (e.g., data model/structure improvements, code and data-movement efficiency, retirement of unused data assets, reduction of redundancy)
• Define success measures and establish metrics to track migration progress, adoption, risk reduction, and realized benefits; ensure metrics are consistently reported and actionable
• Design and deliver automated reporting and dashboards (e.g., Tableau or equivalent) to provide near real-time visibility into status, milestones, risks, dependencies, and KPIs
• Lead an agile team and develop talent (e.g., analysts) responsible for executing the migration roadmap and data optimization work; manage backlog, sprint planning, and delivery commitments
• Establish a continuous improvement backlog capturing lessons learned, technical debt, and enhancement opportunities; partner with stakeholders to prioritize, plan, and execute improvements
• Promote best practices across the data analytics community by sharing learnings, reusable capabilities, and standards for data usage, lineage, and optimization
• Perform other duties and/or special projects as assigned

Requirements:

• Bachelor's degree in mathematics, Information Systems/Technology, finance, business analytics, or other quantitative/technical fields or in lieu of degree, a high school diploma and 9+ years of work experience in analytics, data/CDO organizations, and/or other technology or financial service businesses
• 7+ years' experience working with data/analytics and:
• 3+ years of project management in data or analytics
• 5+ years of experience utilizing SQL (or SAS a plus) for data mining
• 5+ year advanced spreadsheet and presentation tools
• Demonstrated presentation/documentation skills with the ability to create strong narratives to further data literacy, creating informative infographics that relay complex technical concepts simply and clearly
• Experience in collaborating with cross functional teams and executing complex projects
• Strong project management skills prioritizing projects flowing in from multiple stakeholders
• Ability and flexibility to travel for business as required
• Demonstrated influence management with the ability to drive alignment on next steps
• Ability to build strong relationships with cross-functional teams and become a trusted business partner
• Experience with large-scale cloud migrations and/or other technical initiatives requiring change management
• Prior experience with data management, data tools, data governance and/or data risk & compliance functions in financial industry focused on understanding how data is organized, managed, used and how it must be protected
• Demonstrated analytic, quantitative, and problem-solving skills. Understanding of graph databases a plus
• Self-starter: ability to independently identify success, metrics to measure progress and identify & execute next steps
• Excellent communication skills both written and verbal
• Ability to innovate and find creative solutions to meet business goals