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Senior Manager, Global Pricing Analytics

Remote / Online - Candidates ideally in
Norwich, New London County, Connecticut, 06360, USA
Listing for: Otis SE
Full Time, Remote/Work from Home position
Listed on 2026-10-01
Job specializations:
  • Business
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Date Posted:  Country:
United States of America

Location:

OTCTH:
Connecticut Home Offices Remote Location, Remote City, CT, 06032 USA Why This Role Matters Otis is strengthening its global pricing capabilities to support profitable growth and improve commercial performance. As pricing becomes an increasingly important part of business decision making, the organization requires stronger analytical capabilities to improve visibility, support prioritization, and enable more consistent execution across regions and business lines.

The Senior Manager, Global Pricing Analytics, will work closely with commercial, finance, pricing, and technology teams to build analytical capabilities, establish meaningful performance insights, and support data-driven decision making. This role will help ensure leaders have the information, tools, and recommendations needed to improve execution and drive measurable business outcomes.

Key Responsibilities Pricing Data Foundation & Architecture

Lead development of a global pricing data foundation across Services, Repair, Modernization, and New Equipment businesses. Partner with Digital Technology and cross-functional stakeholders to improve pricing-related data, reporting, and analytical capabilities across enterprise systems. Define data standards, business requirements, and governance practices that support consistent measurement, reporting, and commercial decision making. Translate complex pricing requirements into practical, executable requirements for DT and data-engineering teams.

Measurement

& Pricing Intelligence

Partner with Finance and Pricing teams to develop price realization, discount leakage and margin performance metrics for the different lines of business. Create visibility into pricing opportunities, execution gaps, realization performance, and commercial risks globally. Build pricing scorecards, KPIs, dashboards, and operating reviews that drive accountability and action. Measure the business impact of pricing initiatives from launch through realized financial outcomes.

Decision

Science

Partner with DT Data Science team to develop segmented and differentiated pricing strategies. Establish decision-support methodologies that improve annual price planning, deal prioritization, and opportunity selection. Partner with pricing, commercial, and technology teams to translate business requirements into scalable pricing capabilities and operational execution.

Commercial Insights & Opportunity Management

Convert complex pricing and commercial data into actionable recommendations for regional pricing and business leaders. Identify pricing leakage, under priced portfolios, renewal opportunities, and margin expansion actions. Develop opportunity pipelines that help regions focus resources on the highest-value pricing actions. Enable commercial teams to make faster and more informed pricing decisions.

Commercial Enablement & Adoption

Partner with Pricing, DT, Finance, and commercial teams to enhance pricing capabilities, workflows, and business decision support Equip regional pricing teams with dashboards, opportunity reports, segmentation tools, and analytical recommendations. Establish the analytical foundation supporting future pricing decision-support capabilities. Create repeatable analytical processes that scale globally while reducing manual effort and dependency on external resources.

Required Qualifications
  • 7+ years of experience in Pricing, Commercial Analytics, Revenue Management, Business Intelligence, Data Analytics, Strategy, or related commercial function.
  • 3+ years of experience developing analytical models, pricing insights, reporting frameworks, or decision-support capabilities.
  • Bachelor’s degree in business, Finance, Economics, Analytics, Data Science, Engineering, Statistics, Information Systems, or a related discipline from an accredited college or university.
Desired Qualifications
  • Experience working in complex B2B industrial, capital equipment, building technologies, or recurring service businesses.
  • Strong pricing background with experience in price realization measurement, margin analytics, discount management, and pricing performance improvement.
  • Experience designing and building harmonized commercial data models across CRM, CPQ, ERP, billing, and operational systems.
  • Demonstrated ability to define segmentation frameworks, business rules, and analytical methodologies that improve commercial decision making.
  • Proven track record translating complex data into actionable insights,…
Position Requirements
10+ Years work experience
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