Platform Analyst
Listed on 2026-09-06
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IT/Tech
Business Intelligence, Data Analyst, AI Business & Operations -
Business
Business Intelligence, Data Analyst, AI Business & Operations
Tachyon Ai Platform Measurement Strategy Lead
Charlotte, NC (onsite) | Local candidates preferred.
Drive the measurement strategy for the Tachyon AI platform, defining KPIs, OKRs, and success measures for adoption, developer experience, platform reliability, governance, cost, and business value.
Build reporting frameworks, dashboards, and scorecards that track the AI platform lifecycle, including use-case intake, onboarding, model and agent deployment, usage, performance, and operational outcomes.
Analyze complex product, engineering, operational, model, and user-adoption datasets to identify trends, risks, bottlenecks, and improvement opportunities.
Translate data into actionable recommendations that inform AI platform roadmap priorities, investment decisions, self-service improvements, and delivery planning.
Partner with product, engineering, data, security, governance, Fin Ops, and business teams to establish trusted AI platform metrics and reporting standards.
Define measurement approaches for platform availability, latency, utilization, quality, control adherence, adoption, time-to-value, and cost efficiency.
Create concise executive-level narratives, visualizations, and performance updates that communicate platform progress, outcomes, and business impact.
Required experience:
AI, ML, data, developer, cloud, or enterprise platform analytics; KPI/OKR design; dashboarding; data interpretation; and executive communication.
8+ years of experience developing and rolling out measurement strategies for platforms.
8+ years advanced analytical and data interpretation experience with the ability to identify trends, uncover insights, and translate data into actionable recommendations.
Strong understanding of product metrics, KPIs, and OKRs, including defining, tracking, and measuring performance against business objectives.
Experience developing performance reporting frameworks, dashboards, and scorecards to communicate progress, outcomes, and business impact.
Ability to structure and analyze complex datasets to support data-driven decision making for product and platform teams.
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