Saviynt provides a unified identity platform that secures human, machine, and AI identities across the enterprise. Organizations use Saviynt to see every identity in one place, understand what it can access, and control how it behaves across applications, data, and cloud environments. Designed for scale and built for the AI era, Saviynt helps global enterprises run faster and safer as identity becomes the foundation of security and governance. Saviynt serves many of the world’s largest brands, Fortune 500 companies, and public sector institutions.
What You’ll Do
As Saviynt enters its next phase of growth, we are seeking a strategic and execution-oriented Principal Business Systems Architect to lead the design, architecture, and optimization of our Customer Success systems ecosystem.
This role operates at the center of the Customer Office, Enterprise Systems, Data, and Organizational Change. You will lead the architecture and evolution of Gainsight and related GTM platforms, building scalable processes, strong data foundations, intelligent automation, and measurable business impact. This position reports to the Director of Business Systems Operations
You will act as both system architect and program leader — translating business strategy into technical solutions while driving enterprise-grade deployments, adoption, and governance across global teams
Own the CS Systems Stack
Lead architecture and roadmap for Gainsight and its integrations (CRM, BI, support tools)
Design scalable lifecycle workflows (onboarding → adoption → renewal → expansion)
Ensure clean data, strong governance, and reliable reporting
Build Automation That Drives Retention
Configure and optimize Gainsight (rules engine, scorecards, CTAs, dashboards)
Create health models that actually predict churn
Build automation that reduces manual CSM work
Deliver self-serve analytics for CS and GTM teams
Drive Systems Innovation
Evaluate and implement emerging tools (including AI-driven solutions) to enhance customer engagement, productivity, and decision-making
Identify opportunities to embed AI into workflows (risk detection, forecasting, summarization, task automation)
Continuously assess the CS tech stack and recommend improvements to increase efficiency and scale
Partner with IT and Operations Analytics teams to pilot and operationalize new technologies
Translate Strategy into Systems
Partner with CS leadership to define processes and KPIs
Turn business requirements into scalable system design
Lead rollouts of new tools and process changes
Drive adoption across global teams
Raise the BarContinuously improve systems, workflows, and reporting
Establish best practices and documentation that scale with growth
Stay ahead of industry trends in Customer Success technology and AI
What You'll Bring
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