Quick Summary
Performance & Careers Apply established job evaluation frameworks to evaluate roles, document rationale, and flag cases requiring calibration for levelling decisions. Maintain job architectures,
The Talent Management Partner will independently own execution of workstreams across performance, careers, compensation, and broader talent initiatives. This is a hands-on role for someone who combines strong analytical capability with sound judgment and can support translation of talent problems into scalable solutions, through close partnership with PBPs and functional leaders.
Responsibilities
~1 min read- Apply established job evaluation frameworks to evaluate roles, document rationale, and flag cases requiring calibration for levelling decisions.
- Maintain job architectures, career paths, level descriptors and progression criteria; incorporate approved changes and maintain version control/source of truth.
- Partner with People Business Partners (PBPs) to track architecture gaps and recommend changes when the nature or complexity of work materially evolves.
- Independently own execution of assigned modules during performance and promotion review cycles.
- Analyze talent outcomes to identify patterns, inconsistencies, and opportunities for improvement.
What We Offer
~1 min read- Maintain project plans, trackers, dependencies, schedules and completion reporting across talent management initiatives.
- Build scalable dashboards and standardized reporting templates across initiatives.
- Use Apps Script, GPT/API-based workflows and other automation tools to reduce manual work across recurring analysis, reporting, data validation and talent operations.
- Build and maintain automated data pipelines between talent datasets and reporting outputs, with appropriate data quality and exception flags.
- Serve as the first point of support for PBPs on established talent processes, data and frameworks; resolve standard queries and escalate judgment-heavy cases.
- Analyze issues, validate data and develop options/inputs for decision-making.
- Maintain documentation and templates that enable consistent application of Talent Management processes.
- 5+ years of progressive experience in Talent Management, Compensation/Rewards, People Consulting, Performance, Organization Design, or related disciplines.
- Hands-on compensation experience across market benchmarking, salary structures and pay design.
- Working knowledge of job evaluation methodologies, such as Aon, Korn Ferry/Hay, Mercer IPE, or equivalent.
- Strong analytical and modeling capability with advanced Excel or Google Sheets skills and the ability to translate complex data into actionable recommendations.
- Aptitude to create basic Appscript/ChatGPT API-Based workflows to reduce manual effort in recurring tasks.
- Knowledge of career architecture, leveling, performance, and organization design principles.
- Strong stakeholder consulting and communication to explain complex concepts clearly.
- Ability to navigate ambiguity and exercise sound judgment when applying talent and compensation principles.
- Experience working in a global workforce.
Nice to Have
~1 min read- Experience in talent/rewards consulting, including Mercer, Aon, WTW, Korn Ferry, Big 4 People Advisory, or similar.
- Experience in SaaS, technology, or another high-growth environment.
- Exposure to equity compensation, global compensation, or pay-equity analysis.
- Experience designing or scaling enterprise career, performance, or talent frameworks.
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
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Location & Eligibility
Listing Details
- Posted
- September 17, 2026
- First seen
- September 17, 2026
- Last seen
- September 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 76%
- Scored at
- September 17, 2026
Signal breakdown
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