ironquill.tech/board

$ cat jobs/principal-data-architect-product-intelligence-nexthink-8aeead9b2ed4.json

Principal Data Architect (Product Intelligence)

Nexthink·Worldwide·Madrid, ES·senior
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Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #Li-Hybrid About the role: The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Principal Data Architect to lead our Product Intelligence data function and to bring your experience and vision in enterprise data architecture, data modeling, and team leadership. You will own the strategy for bringing together disparate, company-wide data sources into a single, unified data lake, and will lead, develop, and mentor a team of data engineers to deliver on that vision. This is a highly strategic role: you will translate telemetry and usage data into product-led insights that identify upsell opportunities, predict churn, and help the business meet its revenue targets, and you will regularly manage senior stakeholders and present your data strategy directly to C-level management. We’re looking for someone with a strong data background who also understands the strategic importance of building an AI-ready data foundation. What you’ll do Own the enterprise data strategy and architecture, unifying disparate company-wide data sources into a single, unified data lake. Lead, develop, and mentor a team of data engineers, providing technical direction, coa