VP, Remediation Analytics, Standards

Role Overview

• 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.

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 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.

Tech Stack

• Python
• SQL

Benefits

• Bonuses
• Flexibility to work from home or office
• Professional development opportunities