Head of Personalization Intelligence

Bank of America

. Lead the data, analytical, and insight capabilities powering personalized client experiences .

Posted 11/6/2026full-timeNew York City • New York • United StatesLead💰 $200,000 - $264,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data-driven personalization strategies and analytics capabilities, with a focus on building scalable frameworks and integrating complex data into actionable insights. Proven ability to influence stakeholders and develop high-performing teams across multidisciplinary functions.

Highest-signal resume keywords

Personalization Strategy LeadershipAdvanced Analytics and Machine LearningSegmentation and Predictive ModelingTeam Development and LeadershipStakeholder Influence and Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceClient AnalyticsBehavioral SignalsLifetime Value MethodologiesExperimentation and Test-and-Learn ApproachesIncrementality MeasurementPredictive ModelingScalable Analytics DevelopmentReal-Time Intelligence ArchitectureAnalytical Frameworks

Soft Skills

Influencing Senior StakeholdersCross-Functional CollaborationStrategic CommunicationTeam BuildingProblem Solving

Tools & Technologies

Analytics PlatformsMachine Learning ToolsData Visualization SoftwareClient Intelligence SystemsMeasurement Frameworks

Industry Keywords

PersonalizationClient InsightsDecision ScienceMarketing AnalyticsData Governance

About the role

Key responsibilities & impact

Lead the data, analytical, and insight capabilities powering personalized client experiences
Define and lead the strategy for data and intelligence capabilities enabling personalization
Build a connected ecosystem across signals, client understanding, client value, analytics, and measurement
Establish reusable data, analytical, and measurement frameworks across products and channels
Lead development of personas, segments, client insights, behavioral signals, and analytical frameworks
Integrate behavioral, transactional, engagement, and other data into a holistic client view
Translate complex data into actionable insights for Product, Marketing, and other partners
Develop scalable signal frameworks and determine which signals should evolve toward real-time availability
Establish standards and governance for personalization data and signals
Lead lifetime-value methodologies and analytical approaches balancing near-term opportunities with long-term client value
Partner with Technology and Enablement to operationalize personalization intelligence across channels
Define requirements for data, signals, models, analytics, and real-time intelligence architecture
Establish measurement frameworks for incrementality, client outcomes, business outcomes, and long-term value
Advance experimentation and test-and-learn approaches
Create feedback loops that improve signals, personas, models, lifetime value, and future insights
Partner across Product, Marketing, Technology, Enablement, Data, and Analytics organizations
Build and develop a high-performing multidisciplinary team
Influence senior stakeholders across organizational boundaries

Requirements

What you’ll need

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
Ability to lead and develop a high-performing team spanning analytics, data science, decision science, client insights, and measurement
Ability to work 1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support to make an impact and contribute to sustainable business and community growth