Who We Are

Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to prestigious annual “Best Places to Work” lists published by Fortune, AdAge, Crain’s New York Business, and Los Angeles Business Journal. Together we are building a place of belonging.

At Horizon, we understand the value that different perspectives bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe, and empowered. We value YOU and believe that your authentic voice and unique perspective make our culture and solutions stronger.

Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them, and give them every opportunity to grow.

Job Summary

The SVP, Analytic Insights will support Horizon’s EVP, Head of Enterprise Analytics and will drive business transformation through data across our entire client roster. This role will oversee the Los Angeles–based Analytic Insights group, which is responsible for the orchestration of all analytic outputs including Marketing Mix Modeling (MMM), Attribution, Dashboarding, and Test & Learn initiatives.

The SVP will translate complex analytics into actionable business strategies, helping to advance client performance and agency growth. This leader will partner with brand strategy, activation, business intelligence, advanced analytics, and product teams to design and implement innovative measurement frameworks that connect marketing investments to business outcomes.

The ideal candidate combines strategic leadership with hands-on analytic experience and a strong understanding of AI-driven approaches that enhance forecasting, insight generation, and workflow automation. They will be a key client-facing voice for Horizon’s analytic capabilities and a trusted thought partner to agency leadership.

Main Duties and Responsibilities

• Collaborate closely with the EVP, Head of Enterprise Analytics to build and implement the enterprise-wide analytic vision across clients.
• Lead the LA-based Analytic Insights team, managing both managers and individual contributors across all analytic functions.
• Consult with internal client leads and clients to identify their “burning questions” and develop analytic-based solutions that span all media channels.
• Provide subject matter and thought leadership in designing analytic methodologies and approaches, including unified modeling, attribution, and AI-assisted measurement.
• Partner with the Advanced Analytics, BI, and Product teams to architect and scale advanced modeling and reporting solutions.
• Champion the integration of AI and machine learning applications to improve forecasting accuracy, reporting automation, and insight discovery.
• Partner closely with brand strategy leads to translate complex analytic outputs into clear, strategic recommendations that inform planning and activation decisions.
• Drive analytic proficiency and thought leadership across the LA office, fostering continuous learning and professional development.
• Actively participate in new business development, bringing analytic and AI-driven storytelling to RFI/RFP responses, credentials, and pitches.
• Collaborate with cross-functional executives to align analytics strategy with broader agency and client objectives.
• Lead, mentor, and develop a high-performing team, cultivating a culture of curiosity, accountability, and innovation.

Time Allocation:

• 25% — New Business Development
• 30% — Client Services, Oversight & Management
• 25% — Talent & Resource Management
• 20% — Leadership & Strategic Development

Key Relationships

Internal:

• Analytic Insight teams (Direct Reports) — immersed in client business strategy and execution
• Brand and client service teams — partnership to address client challenges and translate insights into strategy
• Activation teams (TV, Digital, etc.) — collaboration to improve targeting and media efficiency through analytics and automation
• Client Architects — integration of audience and media intelligence into actionable recommendations
• BI, Advanced Analytics and Product teams — collaboration on infrastructure and analytics enablement

External:

• Clients — ability to distill the complex into clear, actionable insight
• Vendors and technology partners — evaluation and integration of analytic and AI platforms

Key Behavioral Competencies

• Visionary, hands-on leadership
• Self-starter with strong follow-through
• Influential and persuasive communicator with the ability to drive change
• Intellectual curiosity and comfort operating in ambiguity
• Ability to inspire and develop diverse, high-performing teams

Supervisory Responsibilities

• Oversee a department of approximately 20 analytics professionals, including managers and individual contributors
• Provide mentorship, career development, and training to elevate analytic and AI literacy across the organization

Knowledge and Skills Required

• 10+ years of experience in analytics, data strategy, or business intelligence
• 3+ years in a senior leadership role managing managers and cross-functional teams
• Strong understanding of media mix modeling, attribution, and test & learn frameworks
• Experience applying AI or machine learning tools to enhance analytic processes, forecasting, and insight generation
• Ability to translate complex analytic concepts into clear, actionable business recommendations
• Strong understanding of marketing data, campaign measurement, and omnichannel media dynamics
• Experience working across multiple categories (e.g., CPG, Entertainment, QSR, Financial Services, Healthcare)
• Exceptional communication and presentation skills, capable of engaging clients and executives
• Degree in Statistics, Computer Science, Business Analytics, Marketing Analytics, or a related field preferred
• Familiarity with statistical software, visualization tools, and cloud-based data environments

Certificates, licenses and registrations 

N/A 

Physical Activity and Work Environment 

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