RSI is a global leader in technology, helping enterprises build, scale, and modernize with AI.
El Dorado Hills, California
RSI is a trusted software engineering and digital transformation services partner to global enterprises navigating technological change. RSI enables technology companies, SaaS platforms, and enterprises to solve real-world challenges, accelerate time to market, and scale AI-driven innovation across the full software development lifecycle and business automation. Powered by a culture of curiosity and continuous learning, RSI’s global engineering teams combine deep technical expertise with engineering velocity and disciplined delivery, helping clients ship faster, modernize smarter, and build with confidence. With proven AI fluency at every layer of the technology stack, RSI helps clients not only adopt AI, but operationalize it, embedding intelligence into products, platforms, and processes. RSI’s AI Studio, EXIQO, brings together AIEV-trained engineers (RSI’s proficiency-based certification framework across AI, to drive engineering velocity) and the enterprise-ready Optima AI platform to orchestrate and deliver AI-led transformation across business operations, the SDLC, and legacy modernization. Committed to responsible technology and sustainable value creation, RSI works closely with clients and partners to build AI first ecosystems, driving long-term growth.
On-site
Identify and prioritize AI and digital transformation opportunities, translate business objectives into requirements and product backlogs, and guide cross-functional teams through solution delivery. Develop business cases and value metrics, support AI governance and adoption, and mentor business analysts while establishing analysis standards.
Remote · Canada
Translate business requirements into reliable Domo dashboards and reporting views for executive and functional leaders, covering operational and financial performance, budgets, prior-year comparisons, and trends. Develop and maintain data integrations, pipelines, ETL processes, and datasets; troubleshoot reporting, maintain accuracy and refresh schedules, and document workflows for future ownership.
