Director, Data Science And Engineering

Summary

Join Cylinder, a virtual health platform focused on digestive health, as their Director of Data Science & Engineering. Lead and develop a high-performing data science and engineering team, defining and executing a strategic vision aligned with business goals. Oversee data infrastructure, engineering, and the operationalization of data science solutions. Ensure data governance, security, and compliance. Collaborate closely with various teams, including Product, Clinical, Operations, and Finance. This impactful role offers the chance to shape the future of Cylinder's data ecosystem and contribute to improving healthcare outcomes. The ideal candidate will have extensive experience in data science and engineering leadership, a strong understanding of data governance, and excellent communication skills.

Requirements

• Proven experience (10+ years) in data science, data engineering, or related fields, with at least 5 years in leadership roles, including at the Director level or equivalent
• Demonstrated ability to define and execute strategic roadmaps for data science and engineering initiatives
• Strong expertise in modern data engineering tools and frameworks (e.g., DBT, Airflow, Google Cloud Platform), with a focus on scalability and operational excellence
• Experience overseeing data governance, security, and compliance programs in regulated industries
• Outstanding communication and interpersonal skills, with a proven track record of influencing executive stakeholders and aligning cross-functional teams
• Experience hiring, mentoring, and scaling high-performing technical teams to meet organizational goals

Responsibilities

• Help define and execute a strategic vision for data science and engineering that aligns with business goals
• Partner with Product and Clinical teams to identify and prioritize opportunities to leverage data science for impactful solutions
• Oversee the development and maintenance of scalable, reliable data pipelines and infrastructure
• Ensure efficient data ingestion, transformation, and storage solutions that support analytics and machine learning models
• Lead efforts to integrate various data systems and platforms to create a unified patient centered dataset
• Lead efforts to operationalize machine learning models and analytical insights into production environments
• Collaborate with Software Engineering and DevOps teams to integrate data-driven solutions into the product ecosystem
• Improve data access by enabling data discovery for faster innovation and efficiency
• Develop data-driven strategies to enhance decision-making, enable the application of AI solutions, and increase operational efficiencies
• Develop training programs to empower non-technical stakeholders to leverage BI tools effectively
• Establish and enforce best practices for data quality, privacy, security, compliance (e.g., HIPAA) and ethical data usage
• Improve operational efficiency by ensuring a 'single source of truth' for all analytics data
• Build and grow a high-performing team of data scientists, data engineers, and analytics engineers
• Foster a culture of innovation, continuous learning, and collaboration within the organization
• Provide mentorship and clear career growth paths for team members

Preferred Qualifications

• Familiarity with healthcare data standards such as FHIR, OHDSI, or similar
• Experience in a startup environment
• Advanced degree in Data Science, Computer Science, or a related field