VP of Data

About the Role

The role is remote, offering the flexibility to work from anywhere in the United States. As a remote leader, you will be expected to be self-motivated, disciplined, and adept at managing virtual teams. Your ability to communicate effectively, build strong relationships, and foster a culture of collaboration and innovation will be essential to success in this position.

As the VP of Data, you will be part of the executive team and will play a key role in shaping the company's overall strategy and direction. You will be responsible for developing and managing the data function's budget, as well as identifying and prioritizing key initiatives and projects. Your expertise and guidance will be critical in helping the company navigate the complex and rapidly evolving healthcare landscape.

What You Will Do

• Develop and implement a comprehensive data strategy that aligns with the company's overall goals and objectives
• Lead and manage a team of data engineers, analysts, and scientists, providing guidance and support to help them grow and develop in their careers
• Work closely with cross-functional teams, including product, engineering, and executive leadership, to identify key areas of opportunity and drive data-driven decision making
• Develop and manage the data function's budget, identifying and prioritizing key initiatives and projects
• Collaborate with the executive team to shape the company's overall strategy and direction
• Stay up-to-date with the latest trends and developments in data engineering, analytics, and machine learning, applying this knowledge to drive innovation and improvement
• Develop and maintain relationships with key stakeholders, including customers, partners, and vendors
• Communicate complex data insights and recommendations to both technical and non-technical stakeholders
• Identify and mitigate risks associated with data management and analytics, ensuring compliance with regulatory requirements and industry standards
• Develop and implement processes and procedures to ensure data quality, security, and integrity

What We Are Looking For

• 10+ years of experience in data leadership roles, preferably in healthcare or regulated industries
• Proven track record of owning a full data function end-to-end at scale
• Strong product and business instincts, in addition to technical depth
• Experience with experimentation, causal inference, and A/B testing in healthcare contexts
• Familiarity with PHI/HIPAA and compliance, privacy, and security implications of data work in healthcare
• Strong communication and leadership skills, with the ability to inspire and motivate distributed teams
• Ability to make decisions with imperfect data and prioritize tradeoffs between platform investment, analytics throughput, and machine learning bets
• Experience with data engineering, analytics, and machine learning technologies, including cloud-based platforms and tools
• Strong understanding of data governance, quality, and security principles and practices

Nice to Have

• Experience working in a startup or early-stage company environment
• Familiarity with agile development methodologies and lean principles
• Experience with data visualization tools and techniques, including Tableau, Power BI, or D3.js
• Knowledge of programming languages, including Python, R, or SQL
• Certification in data science, machine learning, or a related field

Benefits and Perks

• Comprehensive benefits package, including health, dental, and vision insurance
• Flexible PTO and work-from-home options, allowing you to work from anywhere in the United States
• Professional development budget and support for continuing education, including conferences, training, and certification programs
• Opportunity to make a meaningful impact on chronic disease management and patient outcomes, working with a talented and dedicated team
• Access to cutting-edge technologies and tools, including cloud-based platforms and machine learning frameworks
• Competitive salary and equity package, with opportunities for growth and advancement
• Recognition and reward programs, including bonuses and stock options
• A dynamic and supportive work environment, with a strong focus on collaboration, innovation, and teamwork

• Be prepared to showcase your technical expertise, including experience with data engineering, analytics, and machine learning technologies.
• Highlight your ability to communicate complex data insights and recommendations to both technical and non-technical stakeholders.
• Emphasize your experience working in a remote or distributed team environment, including your ability to manage and motivate virtual teams.
• Be prepared to discuss your experience with data governance, quality, and security principles and practices, including compliance with regulatory requirements and industry standards.
• Consider creating a portfolio or repository of your work, including examples of data visualizations, machine learning models, or other projects that demonstrate your skills and expertise.
• Be prepared to negotiate your salary and benefits package, including flexible PTO and work-from-home options.
• Research the company and its products, including the healthcare industry and regulatory landscape, to demonstrate your interest and knowledge.