Senior Manager, Loyalty, CRM & Personalization Analytics

Senior Manager, Loyalty, CRM & Personalization Analytics

The Senior Manager, Loyalty, CRM & Personalization Analytics leads the strategy, execution, and measurement of analytics across Loyalty, CRM, and Personalization. This role translates customer data into decisions that improve lifecycle engagement, campaign performance, personalization effectiveness, and long‑term customer value.

This is a high‑visibility, executive‑facing role. The Senior Manager will independently represent Loyalty, CRM, and Personalization analytics in senior leadership and ELT‑level discussions, turning complex customer and campaign performance into clear recommendations and business decisions.

The ideal candidate is an expert storyteller and strategic problem framer, with the ability to turn ambiguous business questions into clear opportunities, measurable value, and action.

Sitting at the center of Loyalty & CRM, Marketing, Digital, Product, Finance, and Data & Analytics, this leader will help improve how performance is measured, how insights are communicated, and how customer growth opportunities are prioritized. The role leads a team of analysts and sets the standard for analytical quality, experimentation rigor, stakeholder engagement, and insight communication.

This position will be based in our Newport Beach, CA office 4 days per week (with work from home on Friday). Remote work is not available for this role.

• Lead the analytics roadmap for Loyalty, CRM and Personalization, aligning priorities to lifecycle growth, business impact, urgency and feasibility.
• Serve as the primary analytics voice in senior leadership and ELT‑level forums, shaping decisions with objective insights and clear recommendations.
• Act as an internal consultant and strategic partner by turning ambiguous business questions into clear learning agendas, measurable opportunities and objective recommendations.

• Own measurement and performance management across Loyalty, CRM and Personalization, including reporting, recurring readouts and executive‑ready narratives.
• Build customer cohorts, lifecycle frameworks and value segmentation to explain performance drivers and surface growth opportunities.
• Lead experimentation strategy, including test design, governance, incrementality, uplift measurement, attribution and performance evaluation.
• Ensure consistent, trusted measurement methodologies across reporting, experimentation and strategic analysis.

• Lead, coach and develop a high‑performing team of analysts.
• Establish standards for analytical quality, experimentation rigor, stakeholder engagement and insight communication.
• Improve the speed and quality of analytics through better workflows, modern tools, automation and AI‑enabled approaches where they improve the work.
• Foster a culture of curiosity, experimentation, collaboration, accountability and continuous improvement.

• Bachelor’s degree required in Analytics, Statistics, Economics, Engineering, Computer Science, Marketing Science, or a related quantitative field. Advanced degree preferred.

• 10+ years of experience in analytics, strategy or consulting, with a focus on loyalty, CRM, personalization, lifecycle marketing or customer growth.
• Experience leading, coaching and developing analytics teams.
• Demonstrated success driving measurable business impact in analytically rigorous or high‑performance environments.
• Strong executive presence, with the ability to lead senior‑level discussions, defend recommendations and influence decisions with clarity and sound business judgment.

• Deep experience with customer segmentation, LTV modeling, lifecycle analysis, experimentation, uplift and incrementality measurement and foundational causal inference.
• Hands‑on experience with SQL and Python or R, including work with large‑scale datasets, modern data platforms such as Snowflake and BI tools such as Power BI.
• Demonstrated ability to synthesize complex analysis into compelling executive narratives that clarify what changed,…