Specialist, Compensation Intelligence & Analytics

T-Mobile•Bellevue, WA

1d•$71,060 - $128,150

About The Position

This role is responsible for building and maintaining the technical systems that power T-Mobile’s compensation operating model. This role sits at the intersection of applied AI, data engineering, and compensation strategy—designing scalable internal tools that automate complex workflows, centralize compensation data, and replace manual or vendor-dependent processes. The ideal candidate combines hands-on technical depth with the business fluency to translate compensation logic into auditable, enterprise-grade systems that serve both day-to-day operations and executive decision-making.

Requirements

Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent Required
Acceptable areas of study include HR, Communication, Business, or related field
Ability to independently own complex, multi-workstream technical projects from design through deployment; diagnose and resolve cross-system technical issues; translate compensation business logic into precise technical specifications; communicate clearly with both technical and non-technical stakeholders; strong audit and documentation discipline; thrives in ambiguous, fast-moving environments. (Required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Master's Degree Preferred
2 – 4 years Strong proficiency in Python and SQL; hands-on experience building applied AI systems including LLM-based applications, retrieval-augmented generation (RAG), and agentic workflows. (Preferred)
2 – 4 years Experience designing and building multi-step workflow applications with complex state management, audit trail logic, SLA tracking, and role-based access or approval flows. (Preferred)
2 – 4 years Experience integrating enterprise data sources and APIs (e.g., Workday, Power BI, or equivalent HCM/BI platforms); familiarity with compensation, HR, or workforce analytics domains preferred. (Preferred)

Responsibilities

Design, build, and continuously improve internal compensation workflow platforms that automate end-to-end processes—including intake, evaluation, benchmarking, approval routing, audit trail documentation, and downstream system integration—reducing reliance on manual effort and third-party tools.
Architect and develop AI-enabled systems—including natural-language query interfaces and retrieval-based applications—that provide on-demand access to centralized compensation data, replacing static reporting with dynamic, always-on analytical capability.
Engineer and maintain structured data pipelines that unify compensation, labor market, and job architecture data into reliable, governed data assets that support both operational workflows and executive decision-making.
Integrate compensation platforms with enterprise systems and reporting tools to ensure real-time data visibility, reduce manual reconciliation, and deliver scalable, reproducible insights to compensation and HR stakeholders.
Diagnose and resolve technical issues across the compensation systems stack—spanning APIs, data connections, workflow logic, and pricing models—in close collaboration with compensation operations, HR technology, and business stakeholders.
Also responsible for other Duties/Projects as assigned by business management as needed.