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Rewards Manager, IT​/Tech

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: Fivetran
Full Time, Remote/Work from Home position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 230000 USD Yearly USD 140000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: Total Rewards Manager

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About the Role

We are looking for a Staff Compensation Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines.

As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics.

This is a full-time remote position based in Costa Rica.

What You’ll Do Strategic Compensation Analytics AI-Assisted Modeling
  • Architect Compensation Models:
    Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks.
  • AI-Augmented Data Analytics:
    Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows.
  • Executive Incentive Pay:
    Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses.
Strategic Equity Strategy Global Program Design
  • Global Equity Design Modeling:
    Partner with stakeholders to design and model strategic global equity frameworks,including refresh plan design, grant guidelines, vesting schedules, and budget allocations.
  • Stock Administration Partnership:
    Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS.
  • Equity Systems Analytics (Carta):
    Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions.
Workday Partnership Data Infrastructure
  • Workday Compensation Design Rollouts:
    Partner clo
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