VP of Data

About the role

This leadership position involves overseeing all data functions for a virtual care platform focused on chronic condition management. You will guide data engineering, analytics, and machine learning initiatives to directly influence patient outcomes and operational efficiency. This role is crucial for scaling the company's services and integrating AI into care delivery. You will be responsible for setting the data strategy that aligns with clinical and business objectives. The position requires fluency in balancing rapid experimentation with the stringent safety requirements of healthcare. You will act as the primary thought leader for data and AI across the organization. Success in this role will be defined by your ability to turn complex data into actionable strategies that improve care delivery. You will partner closely with executive leadership to ensure data drives major corporate decisions.

Key facts

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Location: USA

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Engagement: Full-time

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Team: Data

What you'll do

• Define and communicate the strategic vision and roadmap for data engineering, analytics, and data science/ML.
• Review key company metrics, including engagement, retention, clinical results, and unit economics, to guide prioritization.
• Collaborate with product and clinical teams on experiment design, sample sizing, and result interpretation.
• Mentor and develop managers and individual contributors within the data organization.
• Make informed decisions regarding platform investments, analytics output, and machine learning projects.
• Work with engineering leadership on data architecture, real-time data needs, and model deployment.
• Evaluate ML model performance, identify drift, and consider clinical safety before implementing new care workflows.
• Represent data insights in executive and board discussions, investor updates, and cross-functional planning.
• Drive clarity and decision-making in ambiguous situations with incomplete data.
• Establish data governance standards to ensure consistency and compliance across all data products.
• Partner with security and legal teams to ensure data handling meets regulatory requirements.
• Analyze user behavior to optimize the patient and provider experience across the platform.
• Leverage statistical methods to forecast demand and resource allocation for clinical operations.
• Champion the use of data-driven decision making across all departments of the company.
• Utilize AI-assisted tools such as Cursor, Claude, v0, and Lovable to enhance personal workflows and evaluate their application and risks in clinical settings.
• Oversee the development and maintenance of data infrastructure on AWS, utilizing MySQL, Java/Spring Boot, Python, JSON/REST APIs, and TypeScript.
• Ensure data pipelines support real-time needs and model deployment within a distributed team environment across San Diego, Vienna, and remote US locations.

Requirements

• Demonstrated experience leading an entire data function, encompassing data engineering, analytics, and machine learning, at scale.
• Proven ability to build and mature data platforms from ingestion to governance without over-engineering.
• History of deploying machine learning or applied AI solutions into production environments.
• Capacity to operate effectively in ambiguous situations and establish clarity.
• Ability to move quickly and independently, encouraging teams to do the same.
• Comfort in making decisions with imperfect data.
• Strong product and business understanding combined with technical depth.
• Knowledge of experimentation, causal inference, and the limitations of A/B testing in healthcare.
• Experience with Protected Health Information (PHI) and HIPAA regulations, understanding compliance, privacy, and security implications.
• Skill in clearly articulating and defending decisions to executive teams, boards, and the broader organization.
• Track record of hiring, coaching, and developing data engineers, analytics engineers, analysts, data scientists, and ML engineers.
• Fluency with modern AI-assisted tools, actively using them in personal workflows and understanding their application and risks in clinical settings.
• Understanding of how tools such as AWS, MySQL, Java/Spring Boot, Python, JSON/REST APIs, TypeScript, React, Capacitor/Ionic, Apple Mac, Google Workspace, Zoom, Slack, Confluence, Jira, Miro, Figma, Mixpanel, 1Password, Zendesk, HubSpot, and Rippling function within data workflows.

Nice to have

• Experience in healthcare or other regulated industries.