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Ayzenberg is hiring: Director of Consumer Insights (Audience Science & Measureme

Ayzenberg, Pasadena, CA, United States


Fiercely independent. Passionately creative. Fueled by data and the power of AI.

Ayzenberg Group, based in Pasadena, CA, is one of the largest, privately held advertising and media companies on the West Coast. We’re a culture of curiosity, filled with player/coaches who care deeply about the work from the top down, and team members with an entrepreneurial mindset. We are an equal opportunity employer.

“Okay, nice jargon, but what does that actually mean?” Good question.

Basically, we believe we can do the best work possible while still being kind, collaborative and respectful to everyone involved.

We strive to macro (not micro) manage and give all team members the support and freedom they need to thrive—both professionally and personally.

We’re also deeply passionate about where the industry is headed—especially when it comes to AI. From creative automation to predictive insights and smarter media strategy, we’re not only leaning into but creating the tools and technologies shaping the future of marketing, and we’re looking for teammates who are excited to grow with us in that space.

In a nutshell, whether you’re a client or a team member, we want you to love it here.

WHO WE’RE LOOKING FOR A Director of Consumer Insights who is a true data thinker first — someone who understands not just how to interpret data, but how to engineer and validate it.

This is not a traditional "reporting and decks" insights role.

Instead, this person will sit at the center of Ayzenberg’s audience intelligence and predictive analytics ecosystem, helping shape how we build, test, validate, and improve our consumer models and audience tools.

You will help power and advance our proprietary audience platform Soulmates.ai, working at the intersection of behavioral science, AI, and marketing activation.

IDEAL CANDIDATE

Deeply analytical and technically fluent (modeling, measurement, data engineering, AI-enabled analytics)

Passionate about consumer psychology, behavioral science, and psychometrics

Comfortable operating in a fast-moving agency environment

Able to translate complex methodology into business impact

Curious about how AI, data science, and predictive modeling can shape the future of marketing

We’re looking for someone with the right combination of

technical rigor, intellectual curiosity, and communication skills

to hold their own in conversations with both engineers and marketers about modeling fidelity, predictive accuracy, and measurement systems.

This person will work closely with

the CEO, President, AI engineering team, and Soulmates product team

to evolve our audience intelligence platform, while also supporting client teams with credible, defensible, insight-driven strategy.

You’ll play a critical role in strengthening and scaling our proprietary audience tools— Digital Twins, predictive audience models, and the Soulmates.ai platform —as they're deployed across our agency, clients, and broader industry ecosystem.

If you’re excited about combining

behavioral science, AI, and real-world marketing impact , this role might be exactly what you’ve been looking for.

THE DAY-TO-DAY AUDIENCE SCIENCE & CONSUMER MODELING

Design and refine audience profiling frameworks, including survey architecture and segmentation logic

Engineer and validate psychographic and behavioral models (e.g., HEXACO or similar frameworks)

Develop scoring methodologies and ensure statistical integrity of outputs

Evaluate model fidelity and improve predictive accuracy across audience systems

TESTING, MEASUREMENT & VALIDATION

Design testing frameworks to validate predictive models and audience tools

Conduct A/B testing, back-testing, and experimental analysis against real-world consumer and campaign outcomes

Define and track KPIs related to predictive accuracy, audience lift, and marketing performance

Build repeatable validation protocols that ensure outputs remain credible, scalable, and measurable

Writing and identifying visuals, testing validation frameworks to measure predictive accuracy and performance

AI-FORWARD ANALYTICS

Apply machine learning and AI-enabled tools to consumer datasets

Improve modeling workflows and automation within the Soulmates ecosystem

Analyze large datasets to identify behavioral patterns and predictive signals

Evaluate data fidelity, scoring consistency, and model performance

AUDIENCE ECOSYSTEM INTEGRATION

Help integrate audience models and data systems across marketing and identity ecosystems

Support alignment with media platforms, CRM systems, analytics tools, and brand activation pipelines

Partner with engineering teams to operationalize models and audience segments within the broader product stack

AGENCY INTEGRATION

Collaborate with strategy, media, creative, and account teams to apply insights to campaigns

Translate complex analytical outputs into actionable consumer narratives

Support new business opportunities by explaining methodology and audience science in a credible way

Help develop scalable processes that serve multiple clients efficiently

Contribute to the evolution of Ayzenberg’s audience intelligence capabilities

Explore new modeling techniques, research frameworks, and AI tools

Help improve how predictive audience science is applied to real marketing problems

WHAT WE’LL (FOR SURE) BRING TO THE TABLE

A competitive salary and great benefits package, including full medical, dental, and vision

A matching 401(k)

Paid maternity/paternity leave

Monthly wellness benefits

Annual education credit

Unlimited PTO and paid holidays

A supportive, collaborative team environment

The opportunity to work with cutting-edge AI technologies

A hybrid model (in-office Tuesday–Thursday each week)

WHAT YOU’LL (IDEALLY) BRING TO THE TABLE

Bachelor’s or Master’s degree in Statistics, Behavioral Science, Economics, Data Science, Computer Science, Applied Math, or similar quantitative field (PhD-level rigor a plus)

4–7+ years of experience in consumer insights, analytics, behavioral research, or data science

Strong foundation in:

Statistical modeling

Audience segmentation and profiling

Behavioral science and predictive modeling

Experience designing testing frameworks or validation systems for analytics or audience models

Familiarity with AI-driven tools, modeling systems, or machine learning applications

Experience working with large datasets and translating analytical findings into business outcomes

Proficiency in Python, R, SQL, or similar analytics tools

Strong communication skills and ability to explain complex systems to both technical and non-technical audiences

Ability to operate independently and move projects forward without heavy oversight

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