Platform Analyst

THOUGHT BYTE

Charlotte (NC)

On-site

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

THOUGHT BYTE seeks a senior analytics leader to drive measurement strategy for its AI platform. You will define KPIs and OKRs, build dashboards, and establish reporting standards across product, engineering, governance, and FinOps. Your work will enable data-driven decisions and strategic investments.

You will collaborate with cross-functional teams to track platform adoption, performance, and business value, delivering concise executive narratives and progress updates.

Qualifications

  • Experience designing KPIs, OKRs, and measurement strategies for platforms.
  • Ability to translate data into actionable recommendations for roadmaps and investment decisions.
  • Strong skills in interpreting complex datasets and communicating insights to executives.

Responsibilities

  • Define measurement approaches for platform metrics including availability, latency, utilization, and cost efficiency.
  • Create reporting frameworks, dashboards, and scorecards tracking AI platform lifecycle and outcomes.
  • Translate data into executive-ready narratives and visualizations communicating progress and business impact.
  • Partner with product, engineering, data, security, governance, and FinOps to standardize metrics and reporting.
  • Develop executive-level performance updates and deliverables for leadership reviews.

Skills

KPI/OKR design
Dashboarding
Data interpretation
Executive communication

Job description

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, FinOps, 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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