Director - Pricing Strategy & Analytics; Marketing
Listed on 2026-04-28
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IT/Tech
Data Analyst -
Business
Data Analyst
Overview
Job Summary Pricing is the single highest-leverage product ry quote is a product decision, shaped by geography, seasonality, utilization, competitive dynamics, and customer behavior, and today that product is largely manual and rules-based. The Director of Pricing Strategy & Analytics will own the vision, roadmap, and execution to transform pricing into a modern, data-driven product that optimizes conversion, margin, and network utilization across every customer interaction.
Job Summary Pricing is the single highest-leverage product ry quote is a product decision, shaped by geography, seasonality, utilization, competitive dynamics, and customer behavior, and today that product is largely manual and rules-based. The Director of Pricing Strategy & Analytics will own the vision, roadmap, and execution to transform pricing into a modern, data-driven product that optimizes conversion, margin, and network utilization across every customer interaction.
This is a product leadership role applied to pricing. The Director will define the pricing product strategy, build the analytical foundation to measure performance, and lead a cross-functional team through iterative discovery, testing, and delivery. The ideal candidate brings deep product discipline and analytical rigor to a complex commercial domain: starting from business outcomes, working backward to the data and systems required, and delivering against a structured roadmap.
Prior pricing experience is valued but not required; the ability to rapidly learn a new domain, apply structured product thinking, and lead through data is essential. This is a high-autonomy, high-accountability role at the intersection of strategy, data, and execution.
Location:
Headquarters – Clearwater, Florida.
Essential Duties And Responsibilities
- Own the pricing product across Inter Franchise and Local Residential segments, from strategy through execution, translating market signals, conversion data, and utilization constraints into a pricing roadmap with clear OKRs tied to revenue, margin, and conversion outcomes.
Responsibilities include: - Own the multi-year pricing product vision and translate it into quarterly roadmaps with measurable outcomes. Define success criteria for each stage of pricing maturity, from today’s rules-based system through a fully dynamic, algorithmically informed engine.
- Lead pricing discovery and strategy: identify the highest-leverage opportunities through rigorous analysis of segments, geographies, and competitive dynamics. Sequence the roadmap based on expected impact, feasibility, and dependencies.
- Develop deep domain expertise in PODS’ pricing economics, understanding how geography, distance, seasonality, container utilization, and competitive positioning interact to drive customer conversion and margin. Established frameworks, data infrastructure, and institutional knowledge are in place to support rapid onboarding.
- Direct the team’s analytical work: define the right questions, set quality standards for data and methodology, and critically review output. Ensure the team maintains clean, trustworthy data pipelines from quote through collection, with sufficient analytical fluency to identify errors in methodology or results.
- Lead pricing diagnostics: when conversion or margin shifts, own the decomposition. Separate price effects from prospect quality shifts, agent performance changes, and seasonal patterns. Develop repeatable diagnostic frameworks the team can execute independently.
- Own the connection between quoted price and collected revenue. Understand and quantify leakage across the discount waterfall, including agent close discounts to post-booking adjustments to promotional mechanics.
- Drive end-to-end product delivery for pricing system changes, from requirements definition through testing, launch, and post-launch measurement. Partner closely with IT, Engineering, and vendor teams to manage trade-offs and deliver iteratively.
- Champion experimentation as the primary method of validating pricing hypotheses. Design A/B pricing tests with proper controls, define success criteria upfront, and measure incrementality before…
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