Associate Vice President, Data Science & Analytics
Z
Zeta GlobalFinancial Services
Remote - United StatesFull-TimeVp
Salary175,000 - 200,000 USD per year
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Job Details
- Experience
- 12+ years of experience in advanced analytics or data science, with at least 5 years supporting financial institutions or insurance.
- Required Skills
- Data scienceDocumentation
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.
Responsibilities
- Lead a Strategic Financial Institution Partnership
- 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.
- Ensure Analytical Excellence and Compliance
- 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.
- Drive Innovation and Optimization
- 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.
- Develop and Lead High-Performing Teams
- 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.
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