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voize is an AI-native company building AI companions that automate digital workflows for frontline workers in healthcare and related sectors. The company has raised $50M in Series A funding (led by Balderton Capital, with backing from HV Capital and Y Combinator) and serves 2,000+ facilities with 200,000+ active users.
As Head of Data & AI, you will own two critical functions end-to-end: the internal data foundation and the internal AI platform. You report to the COO and build a small team to scale both capabilities across the organization.
Your responsibilities include:
**Internal AI Platform:** Develop and execute a 12–24 month strategy for internal AI adoption. Own the technical platform (voize MCP, model access, context layers), establish standards for evaluations, observability, cost control, and access governance. Stay current with AI/ML advances and bring relevant innovations into the organization.
**Data Foundation:** Build and maintain a modern, accessible data infrastructure including cloud warehouse, dbt-based data modeling with testing and CI/CD, semantic layer, canonical metrics, and self-serve BI tools. Ensure all organizational decisions are grounded in reliable data.
**Business Impact:** Identify, deploy, and measure AI use cases across business functions. Track adoption metrics, ROI, and operational improvements. Drive cultural change toward data-driven and AI-augmented decision-making.
**Governance & Risk:** Own data privacy, protection, model risk management, and EU AI Act compliance in partnership with the compliance team. Operate autonomously in a regulated healthcare environment.
**Team Building:** Hire and manage the Data & AI function. Decide which capabilities remain centralized versus distributed through a network of AI Champions across the organization.
You bring hands-on experience building modern data foundations (cloud warehouse, dbt, semantic layers, BI tools) and have shipped internal AI/agent systems into production with measurable business impact. You're credible across the entire organization—equally comfortable with Support, Sales, and Engineering—and prefer building champion networks over centralizing all work. You own governance proactively rather than treating it as a blocker, and you operate autonomously to deliver integrated solutions.
