Job Summary
The Platform Analyst will drive the measurement strategy for an AI platform by defining KPIs, OKRs, and success measures across adoption, developer experience, platform reliability, governance, cost, and business value. The role will build reporting frameworks, dashboards, and scorecards to track the platform lifecycle and analyze complex product, engineering, operational, model, and user-adoption datasets. The analyst will translate data into actionable recommendations for platform roadmap priorities, investment decisions, self-service improvements, and delivery planning while communicating platform progress, outcomes, and business impact to executive stakeholders.
Key Responsibilities
• Drive the measurement strategy for the AI platform by defining KPIs, OKRs, and success measures.
• Establish metrics covering platform adoption, developer experience, reliability, governance, cost, and business value.
• Build reporting frameworks, dashboards, and scorecards to track the AI platform lifecycle.
• Monitor use-case intake, onboarding, model and agent deployment, usage, performance, and operational outcomes.
• Analyze complex product, engineering, operational, model, and user-adoption datasets.
• Identify trends, risks, bottlenecks, and opportunities for platform improvement.
• Translate data and analytical findings into actionable recommendations for roadmap priorities, investment decisions, self-service improvements, and delivery planning.
• Partner with product, engineering, data, security, governance, FinOps, and business teams to establish trusted platform metrics and reporting standards.
• Define measurement approaches for platform availability, latency, utilization, quality, control adherence, adoption, time-to-value, and cost efficiency.
• Create executive-level narratives, visualizations, and performance updates communicating platform progress, outcomes, and business impact.
Required Qualifications
• 8+ years of experience developing and rolling out measurement strategies for platforms.
• 8+ years of advanced analytical and data interpretation experience, with the ability to identify trends, uncover insights, and translate data into actionable recommendations.
• Experience in AI, ML, data, developer, cloud, or enterprise platform analytics.
• 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.
• Ability to structure and analyze complex datasets to support data-driven decision-making for product and platform teams.
• Strong data interpretation and analytical skills.
• Strong executive communication skills with the ability to communicate complex findings, outcomes, and business impact concisely.
