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About the Role
The Head of Personalization Intelligence will lead data, analytical, and insight capabilities to power personalized client experiences. This role builds and advances the intelligence layer of personalization, creating a connected capability to understand clients, detect signals, determine relevance, make insights actionable, measure outcomes, and learn. The leader will collaborate with Product, Marketing, Technology, and Enablement partners to translate personalization intelligence into experiences across channels, with a focus on timely and real-time insights.
Responsibilities
- Define and lead the strategy for data and intelligence capabilities that enable personalization.
- Create a connected ecosystem across signals, client understanding, value, analytics, and measurement.
- Establish common data, analytical, and measurement frameworks for reuse across products and channels.
- Advance the organization toward dynamic, individual-level, and real-time client intelligence.
- Lead the development of personas, segments, client insights, and analytical frameworks to deepen client understanding.
- Integrate behavioral, transactional, engagement, and other data for a holistic client view.
- Translate complex data into actionable insights for Product, Marketing, and other partners.
- Lead the development of signals identifying changes in client behavior, needs, intent, engagement, and opportunity.
- Establish scalable, reusable signal frameworks for multiple products, experiences, and channels.
- Determine which signals should evolve toward real-time availability based on client and business value.
- Establish appropriate standards and governance for personalization data and signals.
- Lead the development and evolution of lifetime-value methodologies.
- Integrate client value, needs, behaviors, and signals for a richer understanding of client relationships.
- Develop analytical approaches balancing near-term opportunities with longer-term client value.
- Partner with Technology and Enablement to translate personalization intelligence into scalable capabilities.
- Define data, signal, model, and analytical requirements for dynamic and real-time intelligence.
- Partner with Technology to shape the data and analytical architecture for point-of-interaction insights.
- Ensure personalization intelligence is structured for consistent consumption by downstream platforms and channels.
- Establish a consistent measurement framework for personalization across the organization.
- Develop methodologies for measuring incrementality, client outcomes, business outcomes, and longer-term value.
- Advance experimentation and test-and-learn approaches to distinguish correlation from incremental impact.
- Create feedback loops incorporating channel interactions and outcomes back into intelligence components.
- Use measurement to continuously improve the underlying personalization intelligence.
- Build a unified personalization intelligence capability.
- Create a clear vision for evolving client intelligence toward predictive, dynamic, and real-time insights.
- Build reusable analytical capabilities rather than one-off solutions.
- Partner effectively across Product, Marketing, Technology, Enablement, Data, and Analytics organizations.
- Influence senior stakeholders across organizational boundaries.
- Lead and develop a high-performing team spanning analytics, data science, decision science, client insights, and measurement.
Requirements
- Senior leadership experience across personalization, client analytics, decision science, data science, marketing analytics, or related disciplines.
- Demonstrated experience building scalable analytics and personalization capabilities.
- Deep expertise in segmentation, behavioral signals, predictive modeling, lifetime value, experimentation, incrementality, and measurement.
- Experience applying advanced analytics, machine learning, and AI to client intelligence and personalization.
- Experience partnering with Technology teams to operationalize analytical capabilities and move toward real-time use cases.
- Strong track record working across Product, Marketing, Data, Analytics, and Technology organizations.
- Ability to translate complex analytical capabilities into clear business strategies and influence senior stakeholders.
Skills
- Personalization
- Client Analytics
- Decision Science
- Data Science
- Marketing Analytics
- Segmentation
- Behavioral Signals
- Predictive Modeling
- Lifetime Value
- Experimentation
- Incrementality
- Measurement
- Advanced Analytics
- Machine Learning
- AI
- Client Intelligence
- Data Architecture
- Analytical Frameworks
- Signal Development
- Client Personas
- Client Insights
- Business Strategy
Location
- United States of America
- New York
Work Type
- 1st shift
- 40 hours per week
Experience Level
- Senior leadership
Salary/Compensations
- $200,000.00 - $264,800.00 annualized salary
Benefits
- Industry-leading benefits
- Access to paid time off
- Resources and support
- Eligible for annual discretionary incentive plan
About the Company
- The company provides industry-leading benefits, access to paid time off, resources and support to its employees so they can make a genuine impact and contribute to the sustainable growth of the business and the communities it serves.