Senior Director, Data Science

• Set and drive the enterprise-wide data science vision, ensuring alignment with executive leadership and long-term business objectives
• Architect and oversee technical strategy for all data science initiatives, championing innovation in AI/ML methodologies and platforms
• Lead the design, development, and deployment of ML models, focusing on advanced techniques such as Natural Language Processing (NLP), generative AI, and automation
• Own the development and governance of a modern data platform for all data consumers
• Lead LLM integration projects to automate manual processes and improve operational efficiency
• Stay current with emerging technology trends and represent the organization in external forums, conferences, and industry groups
• Collaborate with senior leaders across IT, Product, Operations, Marketing, and other business units to identify and execute high-impact, cross-functional data initiatives
• Drive AI solutions for automation, decision intelligence, and enhanced customer experience
• Translate complex data insights into actionable business strategies and measurable outcomes
• Manage larger, multi-disciplinary teams, mentoring and developing future leaders within the data science organization
• Conduct and cross-train team to conduct comprehensive code reviews to ensure quality, maintainability, and adherence to enterprise standards
• Provide vision, coaching, and guidance on project prioritization, resource allocation, and career development, with a focus on succession planning and scaling teams
• Foster a culture of innovation, continuous learning, knowledge sharing, and data-driven decision-making across the enterprise
• Demonstrate agility in managing multiple priorities simultaneously, with a strong ability to assess and adjust workloads for both self and team to ensure timely execution
• Thrive in a fast-paced environment with a focus on delivering high-quality work on time
• Oversee data governance, privacy, and ethical use of AI/ML across the enterprise, ensuring compliance with regulatory standards and best practices
• Institute quality control and ethical guidelines for algorithms, code, and outputs
• Manage relationships with external vendors, academic partners, and regulatory bodies

• Bachelor’s degree (B.A. or B.S.) in Statistics, Mathematics, Computer Science, or related quantitative field
• advanced degree preferred
• 10+ years of experience in data science, with several years in senior leadership roles managing larger teams and enterprise-level projects
• Strong problem-solving skills with an emphasis on product development and business impact
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Excellent written and verbal communication skills for coordinating across teams and influencing senior stakeholders
• A drive to learn and master new technologies and techniques
• Demonstrated ability to develop and drive strategies that enhance business performance, with proven results at the enterprise level
• Experience using medical data to derive actionable business insights preferred
• Fluent in complex algorithms and analytics methodologies across multiple platforms and languages
• Expert in delivering robust analytics use cases and cross-functional collaboration
• Fosters a data and analytics culture, supporting data-driven thinking and discussions
• Customer-centric and experienced with successful cross-functional collaboration
• Ability to work in an environment that aligns with the company's diversity, equity, inclusion and belonging standards
• Ability to work both independently and in a team environment
• Demonstrate our core values of Think Big, Go Fast, Deliver Awe, Win Together and Care Deeply

Experience using medical data to derive actionable business insights

• Remote Work: We are a remote-first company, and almost all positions receive the flexibility of working from home
• Generous Time Off: Besides 8 company holidays and 2 personal days every year, all colleagues receive a minimum of 18 days of paid time off
• Comprehensive Benefits Package: Including medical, dental, vision, and pet insurance
• 401(k) matching program
• and company-paid life insurance and short and long-term disability coverage
• Supportive Services: We offer a Colleague Assistance Program that provides free counseling and financial services, and our One Call Foundation, a non-profit arm of our company, provides colleagues financial assistance during times of unexpected hardships