VP of Data

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Data based in United States.

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.

Accountabilities:: The VP of Data will own the data function end-to-end, establishing the strategy, team structure, and operating model required to support business growth. This leader will partner across the organization to ensure data becomes a core driver of product innovation, clinical impact, and operational excellence.

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:

The ideal candidate is an experienced data executive who has successfully built and scaled data organizations in high-growth environments. This leader should combine technical depth, business judgment, and strong people leadership skills to drive meaningful outcomes through data and AI.

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1