Associate Vice President, Data Science & Analytics

Role Overview

• Serve as the senior analytics lead and primary advisor to senior and executive stakeholders within a major financial institution client.
• Translate complex business needs into advanced analytics solutions that drive measurable improvements in acquisition, engagement, and retention.
• Define and evolve the client’s analytics roadmap, introducing enhanced modeling approaches, refined data strategies, and real-time decisioning capabilities that support compliant, high-impact marketing execution.
• Oversee the full analytics lifecycle, including data preparation, model development, validation, deployment, scoring, activation, attribution, and reporting.
• Monitor predictive and recommendation model performance, reviewing outputs, dashboards, and KPIs to confirm targets are met, identify gaps, and recommend data-driven improvements.
• Ensure adherence to financial-industry requirements, including fair lending, model governance, audit, and data-privacy standards.
• Deliver clear, executive-level insights and recommendations grounded in model performance and customer behavior.
• Advance the analytics function by introducing improved methodologies, tools, and processes.
• Identify and recommend new predictive and prescriptive modeling approaches that strengthen precision and return on investment.
• Lead documentation, testing, and monitoring practices that align with enterprise governance and risk expectations.
• Partner with cross-functional teams to implement real-time marketing solutions and continuously refine model performance.
• Manage and mentor analytics managers and data scientists working on the financial institution portfolio.
• Ensure projects are executed on time, within scope, and at a consistently high standard of quality.
• Foster a culture of accountability, innovation, and compliance discipline.

Requirements

• 12+ years of experience in advanced analytics or data science, with at least 5 years supporting financial institutions or insurance.
• Knowledge of financial services regulations related to modeling including fair lending and fair banking, ECOA, etc.
• Demonstrated expertise in predictive modeling and recommendation systems.
• Proven ability to influence C-level stakeholders and translate analytics into strategic business outcomes.
• Strong technical fluency across modeling frameworks, validation techniques, and documentation best practices.
• Exceptional communication skills, able to simplify complex concepts, and build executive confidence.

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!