Job Description

Our client is looking for a Manager, Revenue Operations to lead the strategy, development, and execution of pricing and revenue analytics capabilities that directly support revenue growth and pricing optimization. This role sits at the intersection of product ownership, analytics, and people leadership , partnering closely with business and technical teams to deliver scalable, data-driven solutions.

What You’ll Do

• Lead and develop a high-performing team of analysts, engineers, and developers focused on revenue management and pricing optimization initiatives
• Own the design, development, and ongoing optimization of pricing tools, algorithms, dashboards, and analytics capabilities
• Act as the primary product owner and liaison between technical teams and business stakeholders
• Partner with revenue management and sales leaders to understand business needs and translate them into actionable data solutions
• Define data requirements, performance metrics, and analytical goals aligned to business objectives
• Establish best practices, documentation standards, and quality controls to ensure consistent, high-quality delivery
• Drive automation and innovative data processing strategies to improve efficiency and decision-making
• Communicate analytical insights and recommendations to Director-level and executive stakeholders in a clear, consultative manner
• Identify opportunities to enhance product functionality supporting pricing strategy and execution
• Lead ad-hoc analyses and KPI reporting to surface risks, trends, and opportunities

What We’re Looking For

• Master’s degree preferred; Bachelor’s degree required in an analytical or quantitative field (e.g., Mathematics, Economics, Computer Science, Statistics, Finance, Engineering)
• 5+ years of experience in a product ownership or product-adjacent role , supporting data products, dashboards, or technical tools used by business leaders
• 2+ years of experience leading or managing highly technical teams, directly or in a matrixed environment
• Proven ability to partner with business leaders and guide technical teams in delivering analytics and data solutions
• Strong experience managing large, complex data sets across on-prem and cloud environments (e.g., Snowflake, AWS)
• Proficiency with SQL, Python, dbt, or similar data and analytics tools
• Advanced Excel skills and strong working knowledge of Word and PowerPoint
• Experience with pricing, revenue, or customer analytics in a subscription-based or related industry strongly preferred

Why This Role

This is a high-impact leadership role for someone who enjoys building teams, owning data products, and driving business outcomes through analytics and pricing strategy.

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