
Sr. Product Manager, Customer & Channel Analytics
- Carlsbad, CA
- Permanent
- Full-time
- Define and lead the end-to-end analytics product strategy for customer, channel, and product insights, aligned with business growth objectives.
- Champion a data-driven approach to customer-centric merchandising, marketing effectiveness, and omnichannel engagement.
- Translate executive and business priorities into a clearly articulated, value-focused analytics roadmap.
- Drive the integration of data across customer journeys, store & eCommerce performance, and product-level outcomes to uncover actionable growth opportunities.
- Enable cross-channel measurement frameworks that reveal:
- Customer value and segment dynamics
- Product affinity and engagement by customer cohort
- Channel influence on purchase behavior and conversion
- Ensure KPIs, definitions, and taxonomies are consistent across dashboards, reporting, and models.
- Partner closely with senior leaders in Marketing, CRM, Digital, Merchandising, and Retail Ops to define analytics needs, align priorities, and communicate results.
- Translate complex business questions into technical requirements for BI, Data Science, and Engineering teams.
- Serve as a thought partner to business leaders to embed insights into planning, promotions, personalization, and performance measurement.
- Own delivery of self-service analytics products, performance dashboards, experimentation frameworks, and customer/product data marts.
- Lead cross-functional delivery teams in agile-style sprints to build scalable tools and capabilities.
- Manage backlog, prioritize features, and drive adoption across business functions.
- Build and manage a small team of analytics product managers or insight leads (if applicable).
- Mentor junior talent and help scale the analytics product function within the organization.
- 10+ years of experience in analytics product management, digital analytics, or customer insights roles, with at least 2–3 years at a Director level or equivalent.
- Strong domain expertise in omnichannel retail, customer analytics, marketing performance, or merchandising analytics.
- Proven success building and scaling analytics products that connect data across customer, channel, and product.
- Deep understanding of data structures and KPIs for customer segmentation, LTV, churn, media attribution, and product engagement.
- Fluency in tools such as SQL, Looker/Tableau, and comfort interfacing with modern data platforms (Snowflake, dbt, etc.).
- Strong communication, storytelling, and stakeholder management skills — you can influence VP and C-level stakeholders.
- Bachelor's degree in a quantitative, technical, or business discipline.
- Background in retail apparel or lifestyle brands with personalization, loyalty, or digital commerce components.
- Experience with customer data platforms (CDPs), campaign measurement tools, or experimentation platforms (e.g., Optimizely, Adobe Target).
- Familiarity with data governance, privacy, and responsible data use practices.
- Health Insurance
- Savings and Retirement Plan
- Employee Assistance Program
- Generous Vuori Discount & Industry Perks
- Paid Time Off
- Wellness & Fitness benefits