Compensation Manager, Insights and Analytics

T-Mobile US-posted 4 months ago
$81,900 - $147,800/Yr
Full-time • Mid Level
Hybrid • Overland Park, KS
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The Compensation Manager, Insights & Analytics is responsible for a variety of duties intended to reinforce T-Mobile's strategy to develop and maintain consistent, compliant, and competitive compensation policies, programs, and practices. This role has accountabilities spanning market research, job architecture, program management, pay equity, and incentive compensation. The Compensation Manager will partner closely across Compensation, Workforce Planning, HR Business Partners, and Finance to ensure compensation decisions align with enterprise talent priorities, business needs, and labor budgets. In addition, this role will leverage advanced analytics and emerging AI tools to enhance market intelligence, streamline compensation processes, and generate predictive insights that guide future pay practices. This is a hybrid role (3 days/week in the office) and can be located in Bellevue, WA or Overland Park, KS.

  • Supports design, execution, and governance of compensation programs, including base pay, incentive compensation, and equity programs, ensuring competitiveness and financial alignment.
  • Leads job evaluation, leveling, and survey participation, applying external market data to inform compensation design and support organizational agility.
  • Partners with Workforce Planning and Finance to ensure compensation strategies and pay decisions are aligned to enterprise labor budgets, workforce forecasts, and strategic growth objectives.
  • Leverages compensation dashboards, advanced analytics, and AI-driven tools to provide insights on market trends, pay equity, and predictive workforce costs.
  • Builds self-service analytics for HR and business partners.
  • Presents compensation insights to executive audiences, translating complex data into actionable recommendations that connect compensation to business performance.
  • Ensures compliance with evolving pay transparency, SEC, and EEOC regulations through proactive monitoring, audits, and use of automation/AI-enabled controls.
  • Collaborates with survey vendors and consultants on market pricing, pay equity, and analytics.
  • Partners with HR Tech on compensation system enhancements.
  • Leads cross-functional compensation projects and supports adoption of new technologies, processes, and workforce-aligned pay practices across the enterprise.
  • Bachelor's degree in Human Resources, Finance, Business, Economics, or Data Analytics (required); Master's degree preferred.
  • 4-7 years of progressive experience in Compensation, HR Analytics, or Workforce Planning (comp-focused COE experience strongly preferred).
  • Advanced proficiency in compensation systems (Workday, MarketPay, or equivalent).
  • Strong expertise in analytics platforms (PowerBI, Tableau, or equivalent).
  • Ability to build predictive compensation and workforce models strongly preferred.
  • Exposure to or hands-on experience with AI/ML tools applied to compensation and HR analytics (e.g., pay equity analysis, labor cost forecasting, turnover modeling) preferred.
  • Strong Excel and financial modeling skills; SQL or Python for HR data analysis is a plus.
  • Deep understanding of job architecture, market pricing methodologies, and compensation program design.
  • Familiarity with global pay transparency regulations and compliance frameworks (SEC, DOL, EEOC, EU pay equity), preferred.
  • Demonstrated ability to integrate compensation insights with enterprise workforce planning and financial budgeting processes.
  • Experience leading pay equity studies and applying insights to drive organizational change, preferred.
  • Proven ability to translate complex data into actionable insights and present to executive leadership with clarity and influence.
  • Strong project management skills in cross-functional environments, including change management and communication planning.
  • Inclusive leadership style, fostering collaboration across HR, Finance, Legal, and business teams.
  • Growth mindset with ability to experiment with new technologies and challenge traditional approaches to compensation.
  • Certified Compensation Professional (CCP).
  • People Analytics or HR Data Science certification (e.g., SHRM People Analytics, Wharton/edX AI for HR).
  • Professional in Human Resources (PHR/SPHR) or equivalent.
  • Medical, dental and vision insurance.
  • Flexible spending account.
  • 401(k).
  • Employee stock grants.
  • Employee stock purchase plan.
  • Paid time off and up to 12 paid holidays.
  • Paid parental and family leave.
  • Family building benefits.
  • Back-up care.
  • Enhanced family support.
  • Childcare subsidy.
  • Tuition assistance.
  • College coaching.
  • Short- and long-term disability.
  • Voluntary AD&D coverage.
  • Voluntary accident coverage.
  • Voluntary life insurance.
  • Voluntary disability insurance.
  • Voluntary long-term care insurance.
  • Mobile service & home internet discounts.
  • Pet insurance.
  • Access to commuter and transit programs.
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