Responsibilities

• Loyalty, CRM & Personalization Analytics Strategy: 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. Lifecycle Measurement & Experimentation: 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. Team Leadership & Operating Model: 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.

Requirements

• Education: Bachelor’s degree required in Analytics, Statistics, Economics, Engineering, Computer Science, Marketing Science, or a related quantitative field preferred. Advanced degree preferred.
• Experience: 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.
• Methods & Skills: 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, why it matters, what action is needed, and what business value is at stake.
• Strong understanding of campaign analytics, performance measurement, test design, and customer lifecycle reporting.
• Leadership Behaviors: Strategic and intellectually curious leader with strong business acumen.

Preferred

• familiarity with CDPs, CRM or ESP platforms, loyalty systems, automation, or AI-enabled analytics tools.
• experience in QSR, restaurant, retail, or other high-frequency consumer businesses with strong lifecycle, loyalty, or digital engagement dynamics.

Benefits

• medical, dental, and vision insurance, 401k, sick leave, vacation time, and much more.