VP, Remediation Analytics & Standards

Synchrony • Orlando, FL

10d • Hybrid

About The Position

The VP, Remediation Analytics & Standards is responsible for leading an enterprise-wide analytics team of data analysts, data engineers, and technical experts. This role oversees standardization and quality assurance of coding and analytic processes, ensures all code is accurate and ready for certification, and advances automation to drive efficiency and consistency. The leader establishes and monitors KPIs/KRIs for analytics performance, partners closely with Validation and Process Optimization teams to address process gaps, and delivers reliable and transparent analytical insights in support of Synchrony’s consumer remediation and issue resolution efforts.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, Business, or a related field. In lieu of degree, minimum 14 years of experience in experience in analytics, data engineering, or a related field
• Minimum of 11 years of progressive experience in analytics, data engineering, or a related field
• Minimum of 5 years in a leadership or management capacity overseeing enterprise analytics or data teams.
• Experience in consumer remediation for a financial organization
• Proven expertise in data analysis, statistical modeling, and data manipulation using tools such as SQL, SAS, Python, or similar.
• Experience designing, implementing, and monitoring KPIs/KRIs to drive performance and manage risk for analytics functions.
• Demonstrated ability to communicate complex analytical and technical concepts to non-technical stakeholders, including senior leaders and regulators.
• Ability and flexibility to travel for business as required
• You must be 18 years or older
• You must have a high school diploma or equivalent
• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
• Legal authorization to work in the U.S. is required.
• We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice To Haves

• Experience leading Remediation Analytics for a large financial organization
• Strong background in developing and implementing automation solutions to streamline analytics and operational processes.
• In-Depth experience working with Regulatory Requirements
• Experience working in an Agile environment
• Demonstrated ability to communicate complex analytical and technical concepts to non-technical stakeholders, including senior leaders and regulators.
• Experience collaborating and building consensus with cross-functional teams, such as IT, Process Optimization, and Validation.
• Strong project management skills, including the ability to drive projects to completion within established deadlines and standards.
• Experience creating templates, job aids, and documentation for onboarding and process standardization.
• High level of integrity and commitment to data accuracy, security, and compliance.
• Demonstrated ability to communicate complex analytical and technical concepts to non-technical stakeholders, including senior leaders and regulators.

Responsibilities

• Lead an Analytics Team of 50 plus individuals.
• Partner closely with remediation coordinators and subject matter experts to deeply understand remediation issues, identify impacted consumer populations, and ensure all instances of consumer harm are identified in accordance with applicable guidelines.
• Create, collect, and analyze consumer data to support effective and accurate remediation efforts, and generate files that, when executed, properly rectify consumer harm.
• Oversee code standardization and quality assurance processes, ensuring all analytics code meets enterprise standards for accuracy, timeliness, and compliance—including rigorous use of documentation artifacts, version control protocols, and secure, organized storage for full auditability and traceability.
• Establish and track KPIs and KRIs for the analytics function, using data-driven insights to optimize operations and proactively address risks.
• Design, implement and monitor controls and automation frameworks that guarantee transparency, accuracy, and effectiveness of the remediation analytics process.
• Lead the development of templates, job aids, and procedure documentation to standardize onboarding and promote code and analysis consistency across the analytics team.
• Oversee analytics team capacity planning, forecasting, and resource assignments using tools and systems that provide transparency to workload and project status.
• Collaborate closely with IT, Validation, and Process Optimization teams to improve accessibility and integrity of collections data, identify and resolve process gaps, and implement enhancements across platforms and data sources.
• Provide mentorship and thought leadership on analytics and coding best practices, fostering a culture of continuous improvement and innovation.
• Oversee project plans, deadlines, and quality assurance for all remediation analytics deliverables—addressing challenges and ensuring compliance with enterprise standards.
• Prepare and present key remediation data and analytical findings to regulators and other stakeholders, ensuring information is delivered in a compelling, transparent, and easily understandable manner.
• Perform other duties and/or special projects as assigned.

Benefits

• eligible for an annual bonus based on individual and company performance
• option to work from home near one of our Hubs or come into one of our offices
• We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.
• award-winning culture for all
• Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive