Manager, Data Science - Behavioral Analytics

Summary

The Manager, Data Science – Behavioral Analytics will lead the design, execution, and optimization of analytical strategies that provide actionable insights into consumer behavior, preferences, and engagement. This role is critical in aligning data-driven insights with business strategy to fuel product development, personalized marketing campaigns, and exceptional customer experiences. The ideal candidate will possess a strong foundation in data analytics, consumer behavior theories, and business acumen, with demonstrated leadership in fostering collaboration across departments.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Develop and execute a consumer analytics strategy aligned with the company’s objectives, using data insights to drive product innovation, marketing initiatives, and customer experience enhancements.
• Analyze data related to user interactions on digital platforms like websites, apps, and other online experiences, using this information to optimize design, features, and overall user experience based on insights gained from the data analysis.
• Collaborate with cross-functional teams (marketing, product, customer experience, and sales) to integrate analytics into operations, ensuring customer insights shape every touchpoint of the customer journey.
• Prepare and deliver high-impact presentations to senior leadership and stakeholders, translating technical data into compelling, business-relevant narratives.
• Monitor industry trends and new technologies related to consumer behavior analytics, predictive modeling, and AI/ML solutions, proactively identifying opportunities to improve capabilities.
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance to maintain the integrity and security of customer information.
• Drive continuous improvements in the company’s analytics infrastructure, automating workflows and processes where appropriate.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Leadership Responsibilities

Carries out leadership responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

Qualifications

• Bachelor’s degree in Behavioral Science, Data Science, Statistics, or a related field; Master’s, preferred.
• 5 years of experience in data analytics, behavioral research, or related fields, with a proven track record in leadership roles.
• Solid understanding of product analytics platforms such as Adobe Analytics, Mixpanel, Fullstory, Heap, and Amplitude covering event tagging strategies that account for goals needed to analyze user interactions.
• Experience with multivariant testing to compare different variations of user experiences and measure their impact on engagement.
• Expertise in gathering user behavior data from various sources like website analytics, app usage data, user feedback, and surveys.
• Understanding of user experience design concepts to translate data insights into actionable design improvements.
• Expertise in using machine learning and AI techniques for predictive modeling, segmentation, campaign analytics, and to analyze user behavior.
• Experience in Python or SQL for data manipulation and analysis.
• Experience in BI tools such as Tableau or Power BI to present data effectively.
• Skilled in creating clear and insightful dashboards and reports to communicate findings to stakeholders, including designers, product managers, and marketing teams.
• Strong problem-solving skills and a data-driven mindset.
• Experience in project management and leading cross-functional teams.
• Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.

Physical Requirements

• Prolonged periods sitting at a desk and working on a computer.
• Occasionally required to stand; walk; use hands to finger, handle, or touch objects or controls; and talk or hear.