Associate Vice President, Data Science & Analytics

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to

THE ROLE

Zeta is seeking an Associate Vice President, Data Science & Analytics to lead one of our most strategic financial institution partnerships. This leader will serve as the primary analytics executive responsible for driving client success through advanced modeling, real-time marketing optimization, and data-driven product recommendations within a highly regulated financial services environment.

This is a high-visibility, client-facing role that requires a rare combination of strategic acumen, technical expertise, and regulatory fluency. The ideal candidate brings a deep understanding of predictive modeling and marketing analytics along with hands-on experience navigating the compliance expectations of large banks and financial institutions.

Working with a high degree of independence, this leader will define the analytics strategy within a compliant framework, establish and manage priorities across the team, and drive alignment, efficiency, and innovation across the partnership. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco, Miami) or remote.


What You'll Do

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.

What You'll Bring

• 10+ years of experience in advanced analytics or data science, ideally with at least 5 years supporting financial institutions or highly regulated industries
• 5+ years of hands on experience and deep knowledge of both logistic regression and XGBoost
• 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.

Why Join Us

• Impact: Lead analytics strategy for one of the largest financial institutions in our portfolio.
• Credibility: Operate at the intersection of data science, regulation, and client strategy - where few can.
• Innovation: Drive the next generation of compliant, real-time marketing analytics in financial services.
• Leadership: Shape a team that sets the industry benchmark for responsible, high-performing analytics.

BENEFITS & PERKS

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

SALARY RANGE

The salary range for this role is $175,000 - $200,000 , depending on location and experience.


PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.


We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:


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