VP, Senior Data Platform Engineering Manager

Synchrony•Stamford, CT

5d•$170,000 - $290,000•Hybrid

About The Position

The VP, Senior Data Platform Engineering Manager will develop and oversee delivery of data platform strategy and roadmaps for Synchrony’s Data & Analytic platforms and drive our Cloud Data migration journey. They will be both a strategist and an executor. They will build and lead an inclusive team of product engineers who are focused on delivering resilient platforms that enable data & analytics delivery excellence. They will partner with other product managers and functional stakeholders to identify innovative solutions, leverage AI where possible, resolve platform risks, and deliver platform life-cycle outcomes. The VP, Senior Data Platform Engineering Manager will also lead our cloud data migration initiative, partnering with business and technology stakeholders to plan, execute, and govern the end-to-end migration of data assets, data platforms, pipelines, and workloads to the target cloud environment. They will own the migration roadmap, risks/dependencies, and partner on cutover strategy, and data quality/security controls to ensure minimal disruption and compliance. Drive cross-functional delivery (architecture, engineering, security, governance and operations), tracking progress to timelines, budget, and measurable outcomes. The ideal candidate will have demonstrated people leadership experience, demonstrated cloud data migration experience, drive AI adoption & usage, and an established track record of partnering across business and technology stakeholders to identify and guide the delivery of agile, cost-effective, and high-performing enterprise data & analytic platforms.

Requirements

Bachelor's Degree and a minimum of 8 years of IT experience OR in lieu of a Degree, High School Diploma/GED and a minimum of 10 years of experience in an IT environment
6+ years of product management or related experience
Ability and flexibility to travel for business as required

Nice To Haves

Background delivering infrastructure for data & analytic solutions is preferred
Cloud Data Migration experience is preferred.
Thorough understanding of DevOps and agile infrastructure methodologies & lifecycle management efforts.
Relationship building and collaboration skills across diverse and matrixed stakeholders and customers.
Ability to surface, prioritize, and balance multiple stakeholder priorities.
Creative and efficient in proposing solutions to complex, time-critical problems.
Ability to understand & troubleshoot technical issues.
Ability to communicate clearly and transparently to stakeholders, making the stakeholder experience a priority.

Responsibilities

Define and deliver the data/analytics platform product strategy, roadmap, and release plans by translating business needs into clear product and technical requirements.
Build strong stakeholder partnerships to understand strategic imperatives, prioritize initiatives, and drive platform optimization and lifecycle management using Scaled Agile practices.
Continuously monitor platform performance and reliability, championing enhancements that improve scalability, resilience, and user outcomes.
Lead the cloud data migration end-to-end, including strategy, roadmap, scope/timeline/budget, governance, dependency management, and execution through cutover.
Ensure data quality and operational readiness through validation, reconciliation, performance testing, and security/compliance controls before and after migration.
Proactively manage risks, issues, and blockers; provide clear status reporting and escalation to senior leadership.
Lead and develop a high-performing team of product engineers through coaching, mentoring, and career development to deliver on the roadmap.
Own product financials and vendor management, including ROI-based investment decisions and contract negotiation/renewals, while ensuring adherence to enterprise standards (architecture, security, compliance).
Stay current on business, market, and technology trends to recommend innovative platform solutions & improvements and leverage AI solutions.
Perform other duties and/or special projects as assigned.