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Product Management Manager

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: PINNACLE GROUP (Pinnacle Technical Resources)
Full Time position
Listed on 2026-10-04
Job specializations:
  • Business
    Business Intelligence, Financial Analyst, Business Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 70 - 80 USD Hourly USD 70.00 80.00 HOUR
Job Description & How to Apply Below

Product Management Manager

Professional(Other) | Professional(Other) El Segundo, , California Contract Sep 29, 2026

Position: Pricing Strategy Analyst

Location: US
- Remote

Duration: 12+ months Contract

Pay rate: $70-$80/hour on W2

Job : 180164

Job Overview

This role sits at the intersection of business strategy, analytics, and emerging AI technologies—helping leadership make smarter, faster, and more informed decisions through data-driven business cases and financial insights.

Job Summary

The Pricing Strategy Analyst will play a critical role in developing pricing strategies, evaluating new business opportunities, and supporting executive decision‑making across a growing portfolio of products and services. This role blends business strategy, financial modeling, data analytics, and AI‑assisted productivity to help identify opportunities that drive customer acquisition, revenue growth, and long‑term enterprise value.

The ideal candidate is equally comfortable building business cases, analyzing large datasets, creating executive‑ready presentations, and leveraging modern AI tools to accelerate research, analysis, and decision‑making. You'll partner closely with Marketing, Finance, Analytics, Operations, Product and Sales teams to evaluate pricing opportunities, optimize offers, and deliver strategic recommendations supported by data.

Key Responsibilities
  • Develop strategic business cases supporting new products, pricing initiatives, promotional offers, and customer acquisition strategies.
  • Build financial models and conduct scenario analysis to evaluate market opportunities, forecast business impact, and estimate ROI for strategic initiatives.
  • Analyze pricing performance, promotional effectiveness, and competitive positioning across products and customer segments.
  • Utilize SQL, Python, Power BI, Tableau, Excel, and existing reporting assets to gather, analyze, and visualize business performance data.
  • Develop new dashboards, reports, and executive presentations that translate complex analysis into actionable business recommendations.
  • Partner cross‑functionally with Product, Marketing, Finance, Sales, and Analytics teams to define business requirements and prioritize strategic initiatives.
  • Support pricing tests, experiments, and optimization efforts, including test design, measurement frameworks, post‑launch analysis, and recommendation development.
  • Leverage AI tools such as ChatGPT, Microsoft Copilot, and similar technologies to improve research, automate analysis, accelerate content development, and increase productivity.
  • Evaluate customer behavior, pricing elasticity, promotional performance, and acquisition trends to support data‑driven decision making.
  • Build dashboards, reports, and recurring performance views that help stakeholders monitor key pricing, revenue, margin, and customer metrics.
  • Present findings and recommendations to business leaders through concise, executive‑level storytelling and visualizations.
  • Continuously identify opportunities to improve reporting processes, analytical workflows, and business decision‑making capabilities.
Requirements

Education:

  • Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or related field preferred.
  • MBA is a plus.

Experience:

  • 3–6 years of experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics.
  • Experience developing business cases, financial models, and executive presentations.
  • Experience supporting pricing, acquisition, product, or commercial strategy initiatives.
  • Experience working cross‑functionally within fast‑paced, data‑driven organizations.

Pluses:

  • Experience with pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, or revenue…
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