Job Description
Our client, a growing d2c wellness company in LA is hiring a Sr Manager of Ecommerce (Product) and Analytics
Position Overview
We are hiring a Senior Manager of Ecommerce & Analytics to own the full ecommerce product experience and the data infrastructure that powers decision-making across the organization. This is a dual-mandate role: you will drive topline growth through site conversion, subscription mechanics, and product merchandising, while simultaneously building and maintaining the analytics foundation that enables every team to operate with clarity and precision.
This role sits at the intersection of ecommerce product management, web engineering, data analytics, and conversion rate optimization. You will manage the end-to-end Shopify storefront experience, lead site optimization and experimentation, own data pipelines and attribution, and partner closely with Growth, CRM, Creative, Finance, and Supply Chain to translate data into decisions and decisions into revenue.
This role reports to the VP of Growth and indirectly manages a Senior Growth Designer and directly manages an Ecommerce Manager. The right candidate is both a builder and a strategist — equally comfortable writing SQL queries, managing a webdev team, defining an A/B testing roadmap, and presenting subscription cohort analysis to the CEO.
Responsibilities
Ecommerce Product Strategy & Site Experience
- Own the end-to-end web product strategy and roadmap for the Shopify storefront, positioning the site as the primary acquisition, conversion, and cross-sell platform aligned with revenue goals.
- Drive sitewide conversion rate improvement through PDP optimization, landing page architecture, checkout flow refinement, and subscription mechanics.
- Own subscription attach rate, AOV growth, and cart architecture — including bundle strategy, upsell placement, and protocol-based product pairing.
- Partner closely with web engineering to maintain a well-prioritized backlog balancing experimentation, platform investments, and technical health.
- Manage the offshore webdev team, translating design and product requirements into shipped site experiences with minimal friction.
- Treat the website as a living product — driving continuous improvement through iteration, experimentation, and learning.
- Apply rigorous product management practices across discovery, prioritization, delivery, and measurement.
Ecommerce Analytics & Data Infrastructure
- Operate as the central analytics partner across marketing, product, finance, and strategy — using data to drive revenue and growth decisions.
- Own and maintain data pipelines across Shopify, Source Medium, BigQuery, and Google Sheets — ensuring accuracy, reliability, and zero outages.
- Build and maintain full-funnel conversion reporting (ATCR to checkout to purchase) with weekly cadence and clear improvement targets.
- Ensure all core teams (Finance, Paid Social, Partnerships, CRM) have accurate, decision-ready reporting tied to revenue, CAC, and LTV drivers.
- Define and standardize core metrics across the business. Maintain clean, reliable data as a single source of truth.
- Own tracking, tagging, and attribution frameworks end-to-end, including event instrumentation via Google Tag Manager, server-side tagging, and API-based data pipelines.
- Proactively identify opportunities across acquisition, conversion, retention, and LTV — don't wait to be asked.
- Translate complex analyses into clear, decisive recommendations that influence execution.
Subscription & Retention Analytics
- Own subscriber portal optimization to reduce involuntary churn and improve self-service completion rate.
- Build and maintain SKU-level churn and retention reporting, identifying highest- and lowest-performing products.
- Deliver cohort analysis of first-time subscription performance by channel and entry product.
- Present monthly subscriber durability insights and recommendations that guide both retention and acquisition strategy.
- Own first-time subscription volume and revenue targets in partnership with Growth and CRM. Experimentation & Conversion Rate Optimization
- Build and run a high-velocity experimentation program with A/B and multivariate testing at scale.
- Ensure experimentation frameworks are statistically sound, repeatable, and tied to meaningful user and business outcomes.
- Evolve personalization and dynamic content infrastructure, including segmentation, targeting, and content delivery mechanisms.
- Reduce friction and cycle time across experimentation and personalization by improving tooling, data availability, and technical foundations.
- Document experimentation learnings and incorporate them into roadmap, platform, and architectural decisions.
- Use quantitative and qualitative insights to inform web journeys, prioritize opportunities, and measure impact.
Technical & Platform Performance
- Own web performance as a core product outcome, with a strong focus on page load speed, Core We