Business Insights Lead

About Viz.ai

Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.

The Role

We are seeking a Business Insights Lead with a passion for turning complex healthcare data into meaningful, actionable insights. In this role, you will own the analysis, reporting, and interpretation of data that drives client success, demonstrates product value, and informs operational and strategic decisions across Viz.ai Life Science’s business.

You will collaborate closely with cross-functional teams—including Life Science’s Account Management, Product, Clinical, Strategy & Operations—to develop high-impact analytics, dashboards, and narratives that illuminate how Viz.ai solutions deliver value in real-world settings.

This is a highly visible, analytical, and storytelling-focused role—ideal for someone who thrives at the intersection of data, business, and healthcare innovation.

Key Responsibilities

• Lead the end-to-end analytics lifecycle, from data requirement definition and to insight delivery.
• Develop dashboards and reports to monitor KPIs, operational performance, and clinical or client outcomes using Viz.ai’s proprietary multimodal data.
• Analyze large, complex datasets to identify trends, opportunities, and performance drivers that inform business and client strategies.
• Create client-ready analyses and visualizations that communicate technical findings in a clear, actionable, and engaging manner.
• Partner with business, clinical and product stakeholders to define data requirements, validate data accuracy, and ensure consistent data governance.
• Conduct impact and value analyses that demonstrate the impact of Viz.ai solutions
• Support strategic initiatives by providing data-driven perspectives and recommendations.
• Design and deliver insightful presentations and narratives (PowerPoint, dashboards, visual reports) that translate analytics into decision-making tools for internal and external audiences.
• Continuously improve analytical processes, identify inefficiencies, and recommend data-backed solutions to optimize performance.

Required Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science, Public Health, or a related field.
• 2–5 years of experience as a Data Analyst, Business Analyst, or in a related analytical role.
• Strong proficiency in data analysis tools and data visualization tools such as Tableau, Power BI, or Looker.
• Demonstrated ability to translate complex data into actionable insights for technical and non-technical stakeholders.
• Excellent communication, top-down data storytelling, and problem-solving skills.
• Experience working with healthcare datasets (e.g., claims, EHR/EMR, clinical or operational data).

Preferred Qualifications

• Understanding of healthcare operations, clinical workflows, and the life sciences ecosystem.
• Experience supporting life sciences organizations through data analytics or performance measurement.
• Familiarity with data governance, data quality assurance, and best practices in healthcare data management.
• AI Native: You treat AI as a core part of your workflow, using tools like ChatGPT to enhance productivity and output.

What Success Looks Like

• You are the go-to expert for data insights that drive client satisfaction and internal decision-making.
• Your analyses and visualizations help demonstrate Viz.ai’s value to clients and leadership.
• You proactively identify trends and opportunities that lead to measurable business impact.

Key skills/competency

• Data Analysis
• Business Intelligence
• Data Visualization
• Healthcare Data
• Life Sciences
• Storytelling
• Stakeholder Management
• KPI Monitoring
• Problem-Solving
• AI Tools