VP of Data

9am.ai Inc.

Job Overview

Location

United States

Job Type

Full-time

Full Job Description

📋 Description

• Lead the end-to-end data function at 9amHealth, encompassing data engineering, analytics and BI, and data science/ML/AI, directly shaping member outcomes, clinical decision-making, and operational efficiency.
• Set and communicate the strategic vision, roadmap, and priorities for the data organization, aligning data initiatives with company goals in chronic disease management, AI-assisted care, and business economics.
• Build, grow, and lead a multi-disciplinary team of data engineers, analytics engineers, analysts, data scientists, and ML engineers across distributed locations including San Diego, Vienna, and remote US teams.
• Partner with CEO and executive leadership to translate business strategy into data-driven priorities, define core metrics (engagement, retention, clinical outcomes, unit economics), and deliver executive reporting and board-level insights.
• Collaborate with Product and Engineering leadership to design instrumentation, experiment frameworks, and ML model deployment pipelines, ensuring data quality and causal inference rigor in healthcare contexts.
• Work closely with Clinical leadership, care coordinators, and coaches to evaluate model performance, measure clinical safety, and ensure ML-driven recommendations enhance — not replace — human care workflows.
• Oversee data platform development including ingestion, warehousing, modeling, governance, and real-time vs. batch architecture decisions, avoiding over-engineering while ensuring scalability and reliability.
• Ensure compliance with HIPAA, PHI handling, audit requirements, and data security protocols across all data systems, access controls, and model deployments.
• Drive adoption of AI-assisted tooling (e.g., Cursor, Claude, v0, Lovable) within the data org, setting standards for responsible use of LLMs and agents in clinical and operational workflows.
• Make high-stakes tradeoff decisions between platform investment, analytics throughput, and ML/AI bets, balancing speed, ambiguity, and complexity in a regulated healthcare environment.
• Define ownership, metric trees, and sources of truth in environments with incomplete data or unclear processes, creating structure where none exists to enable organizational clarity.
• Represent the data function in cross-functional planning, investor updates, and compliance reviews, defending technical and strategic decisions to executives, board members, and operational teams.
• Coach and develop managers and individual contributors across the data org, leveling up talent in data engineering, analytics, and applied ML, with emphasis on systems thinking and product instincts.
• Operate in a distributed, remote-first environment with team members across San Diego, Vienna, and remote US locations, establishing rituals, documentation, and alignment practices to maintain cohesion.
• Influence the member experience by directly shaping data inputs to the member app, internally built EMR, care team tooling, and AI-assisted workflows that impact daily clinical and operational decisions.
• Balance clinical safety, operational efficiency, business economics, and technical debt while navigating the unique constraints of healthcare data, including privacy, regulatory compliance, and ethical AI use.
• Contribute to a mission-driven culture focused on improving healthcare accessibility and affordability for individuals managing chronic conditions like diabetes, hypertension, obesity, and dyslipidemia.

🎯 Requirements

• Led a full end-to-end data function (data engineering, analytics, data science/ML) at scale, from early growth through multi-team organization
• Shipped applied ML or AI into a live product or clinical workflow, not just experimental notebooks
• Operated in a regulated healthcare or highly compliance-sensitive environment with PHI and HIPAA requirements
• Built and matured data platforms (ingestion, warehousing, modeling, governance) without over-engineering
• Hired, coached, and leveled up teams of data engineers, analysts, data scientists, and ML engineers
• Made decisions with imperfect data and ambiguity, creating clarity and structure where none existed

🏖️ Benefits

• Health, dental, and vision insurance
• Flexible PTO and work from home options
• Professional development budget and support for continuing education
• Opportunity to make a meaningful impact on chronic disease management and patient outcomes

Skills & Technologies

Python

TypeScript

Java

React

Spring

Remote

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9am.ai Inc.

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About 9am.ai Inc.

9am.ai provides AI-driven workforce analytics that help companies optimize hybrid work policies, desk availability, and team collaboration. Its platform integrates with calendars, sensors, and HR systems to deliver real-time occupancy data, predictive scheduling, and carbon-impact insights, enabling organizations to reduce real-estate costs, improve employee experience, and meet sustainability targets through smarter office utilization.

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