VP of Data

This position is based in the United States and is fully remote.

About the role

The VP of Data will lead the vision, strategy, and execution of a comprehensive data organization spanning data engineering, analytics, business intelligence, data science, and AI/ML capabilities. This executive role will shape how data is used to improve customer outcomes, operational efficiency, and business decision-making. Working closely with executive leadership, product, engineering, clinical, and operational teams, you will transform complex data into actionable insights and scalable solutions. You will build and mature a high-performing data organization while establishing strong foundations in governance, analytics, experimentation, and machine learning. The role requires a strategic builder who can balance innovation, technical excellence, and responsible data practices in a regulated environment. This is an opportunity to directly influence the future of data-driven healthcare experiences and AI-enabled workflows.

Responsibilities

• Define and execute the overall data vision, strategy, and roadmap across data engineering, analytics, BI, data science, and applied AI/ML.
• Lead, mentor, and scale a multidisciplinary data organization including data engineers, analysts, analytics engineers, data scientists, and ML engineers.
• Partner with executive leadership to translate company goals into measurable data strategies, business metrics, and reporting frameworks.
• Establish scalable data platforms, architecture, governance practices, and analytics capabilities that support long-term growth.
• Guide decisions around data infrastructure investments, platform priorities, automation opportunities, and technical tradeoffs.
• Collaborate with Product and Engineering teams on instrumentation, experimentation, data architecture, and ML-enabled product capabilities.
• Partner with clinical and operational teams to improve outcomes, quality measurement, workflow efficiency, and decision-making through data insights.
• Drive responsible adoption of AI and machine learning, evaluating opportunities, risks, model performance, and clinical safety considerations.
• Develop systems for reliable metrics, reporting, experimentation, causal analysis, and organizational decision-making.
• Ensure compliance with healthcare data requirements, privacy standards, security practices, and sensitive data handling expectations.
• Represent the data function in executive discussions, strategic planning, board conversations, and company-wide initiatives.
• Build a culture of data excellence, accountability, collaboration, and continuous improvement across the organization.

Requirements

• Proven experience leading an end-to-end data organization covering data engineering, analytics, BI, data science, and machine learning.
• Experience scaling data teams through periods of significant company growth and organizational change.
• Strong understanding of modern data platforms, architecture, governance, warehousing, and analytics infrastructure.
• Experience delivering machine learning or AI-powered solutions into real-world products or operational workflows.
• Ability to create clarity from ambiguity by establishing metrics, ownership models, processes, and data-driven decision frameworks.
• Strong product and business instincts with the ability to connect technical investments to measurable outcomes.
• Experience with experimentation, causal inference, analytics methodologies, and responsible interpretation of data.
• Experience working with sensitive data, privacy considerations, compliance requirements, or regulated industries such as healthcare is strongly preferred.
• Ability to make strategic decisions with incomplete information while balancing speed, quality, and risk.
• Demonstrated success hiring, developing, and coaching high-performing technical teams.
• Strong executive communication skills with the ability to influence leaders, stakeholders, and cross-functional teams.
• Technical fluency with modern cloud, data, and software environments, including familiarity with tools such as AWS, Python, APIs, databases, and analytics platforms.
• Hands-on understanding of AI-assisted development and productivity tools, with the ability to guide responsible adoption of emerging technologies.
• Ability to effectively lead distributed teams across multiple locations and time zones.

Benefits

• Fully remote work flexibility with a distributed global team environment.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible paid time off designed to support work-life balance.
• Professional development budget and opportunities for continued learning.
• Opportunity to work on impactful technology that improves chronic care experiences and patient outcomes.
• High level of ownership and influence within a mission-driven organization.
• Collaborative startup environment with experienced leadership and the opportunity to shape technology, infrastructure, and culture.
• Exposure to innovative AI, machine learning, and healthcare technology initiatives.
• Opportunity to lead a growing, multidisciplinary team and define the future of data-driven operations.