This Sr. Staff level role leads the technical strategy and execution for large-scale enterprise analytics applications built on modern web technologies. The applications transform complex benchmark datasets and workforce analytics into intuitive, high-performance user experiences for administrators and business leaders. As the most technically skilled front-end engineer on the team, this person drives architectural direction, mentors engineers, and ensures the applications are accessible, performant, and delightful to use. The role includes close collaboration with backend data platform teams, Data Science teams, and UX designers to translate analytical insights into actionable visual interfaces. Architecture & Technical Leadership: Architect and evolve modern, scalable front-end applications using React, TypeScript, Next.js, and enterprise component libraries Lead architecture reviews for state management, data visualization strategies, performance optimization, and front-end infrastructure Define and enforce front-end coding standards, design patterns, and technical best practices across multiple teams Drive strategic decisions on UI frameworks, build systems, testing infrastructure, and developer tooling Introduce new front-end technologies and frameworks to support long-term scalability, maintainability, and developer experience Application Development: Build high-performance, responsive web applications that visualize large-scale workforce benchmarks and analytics Design and implement sophisticated data visualization interfaces using libraries like D3.js, Recharts, or similar frameworks Create scalable component architectures and design systems that support white-labeling and multi-tenant requirements Integrate with RESTful and GraphQL APIs, handling real-time data updates, optimistic UI patterns, and complex state management Implement client-side data aggregation, filtering, and transformation to support interactive analytics experiences Data Privacy & Security: Engineer privacy-first UI components that properly mask PII, enforce role-based access controls, and handle sensitive HCM data Implement client-side data redaction, anonymization displays, and audit logging for compliance requirements Build secure authentication/authorization flows and session management patterns Ensure WCAG 2.1 AA accessibility compliance across all interfaces Collaboration & Operationalization: Partner with Data Science teams to visualize statistical models, quantitative insights, and AI-generated summaries Collaborate with backend engineers to define optimal API contracts, data shapes, and performance characteristics Work with UX designers to translate wireframes and design systems into production-ready, pixel-perfect implementations Translate product requirements and analytical needs into technical designs and execution plans Performance & Quality: Optimize application performance including bundle sizes, lazy loading, code splitting, and runtime performance Implement comprehensive testing strategies (unit, integration, E2E, visual regression, accessibility) Establish observability and monitoring for front-end errors, performance metrics, and user experience analytics Troubleshoot complex issues involving browser compatibility, rendering performance, or API integration bottlenecks Mentorship & Leadership: Mentor front-end and full-stack engineers through design reviews, pair programming, and technical guidance Influence technical direction across multiple product teams and establish front-end best practices organization-wide Lead by example with high-quality code contributions and architectural decision-making.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed