Director Pricing Strategy & Revenue Science

Director Pricing Strategy & Revenue Science

Build the Future of Pricing at PODS

At PODS were transforming how pricing drives growth customer experience and competitive advantage across our business. Were looking for a visionary analytically-driven leader to modernize and elevate our pricing capabilities from a primarily manual rules-based model into a sophisticated data-driven pricing function that improves conversion margin and network utilization across every customer interaction.

As the Director of Pricing Strategy & Revenue Science you will lead the development and application of models that explain and forecast demand conversion price sensitivity utilization and revenue performance. Responsibilities include designing pricing and business experiments; building demand and revenue forecasts; developing optimization approaches that balance conversion margin and capacity; and creating analytical frameworks that quantify the impact of geography mileage seasonality inventory availability customer segment competitive conditions and other business drivers. This leader will establish standards for causal measurement model validation data quality reproducibility monitoring and post-deployment performance. The role partners closely with Product Engineering IT Finance Operations Marketing and other business teams to translate analytical work into scalable decision tools and operating processes. The Director will also lead root-cause analysis when performance shifts communicate recommendations to senior leaders and coach a high-performing team of data scientists and analytical professionals.

What Youll Do

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

• Reports to Vice President Digital
• Directly manage the Pricing & Revenue Science Team including Data Scientists and pricing/revenue analytics professionals. Full management authority includes hiring performance management compensation decisions and terminations. Responsible for team priorities analytical standards and vendor/partner oversight as applicable.

Day to day you will:

• Deep experience leading applied data science or decision science work in pricing revenue management forecasting optimization marketplace economics or a related analytical domain
• Strong hands-on fluency in SQL and Python; able to review complex queries notebooks model code and analytical pipelines. Experience with R or another statistical language is a plus
• Strong command of statistics and applied econometrics including regression hypothesis testing causal inference experimental design measurement and model validation
• Experience with predictive modeling machine learning forecasting elasticity modeling and optimization; able to evaluate methodology feature selection validation approaches explain ability and business applicability
• Familiarity with modern data science tooling and environments including the Python analytics ecosystem (e.g. pandas NumPy scikit-learn stats models or equivalents) cloud data warehouse/lake platforms and Git/version control
• Ability to partner with Engineering and IT to productionize analytical models and decision systems with working knowledge of data pipelines APIs model monitoring drift data quality and deployment lifecycle practices
• Ability to translate complex technical findings into clear business recommendations and influence senior leaders and cross-functional stakeholders using data-driven insights
• Proven track record leading high-impact analytical initiatives from discovery through implementation and developing data scientists and analysts with strong standards for rigor documentation and reproducibility

Who Were Looking For

Were looking for a strategic thinker who combines strong analytical capabilities with business acumen executive presence and leadership skills. Prior pricing experience is valued but not required; the ability to rapidly learn a new domain build a product roadmap with actual milestones and lead a team that does rigorous work is essential. This is a high-autonomy high-accountability role at the intersection of strategy data and execution.

What You Bring

• Youve built strategy roadmaps where success was defined upfront not rationalized afterward
• You can read SQL spot a flawed methodology and tell the difference between a real trend and a composition effect
• Youve delivered cross-functional initiatives end to end not handed off after the strategy deck was done
• You know when the data is good enough to act and when more investigation is the right call; when you hit ambiguity your instinct is to investigate not wait
• Youve hired and developed analytical talent and people have grown under your leadership
• Must have customer facing experience.

• Bachelors degree required in Data Science Statistics Computer Science Economics Applied Mathematics Operations Research Engineering or a related quantitative field; Masters degree or PhD preferred but not required
• 8 years of experience in data science pricing analytics revenue management forecasting optimization or advanced analytics with at least 3 years leading or managing data scientists or analytical professionals
• Experience applying predictive experimental forecasting or optimization methods to high-volume commercial or operational decisions; experience in e-commerce marketplaces logistics services pricing or revenue management preferred

Why Youll Love Working at PODS

PODS is a recognized leader in the moving and storage industry known for innovation operational excellence and a strong people-first culture. We believe strong teams drive strong results. At PODS youll find a culture built on collaboration accountability integrity and continuous improvement. Our core values We Care We Work as a Team and We Find a Way are the guiding principles behind everything we do.

Compensation & Benefits

PODS offers a competitive compensation package that includes medical dental and vision coverage a 401(k) with company match bonus opportunities paid time off and employee storage discounts. Compensation is based on experience qualifications and internal equity.

Join Us!

If youre excited by the opportunity to influence enterprise strategy lead with data and drive meaningful business impact we encourage you to apply. At PODS your ideas leadership and insights can help shape the future of how we grow.

Equal Opportunity Employer
PODS Enterprises LLC is an Equal Opportunity and Affirmative Action Employer.

Required Experience:

Director