Director of Data & Analytics

As the Director of Data & Analytics, you will be a pivotal leader responsible for spearheading the growth and evolution of our data analytics function. You will play a crucial role in enabling data-driven decision-making across the entire organization, from product development and marketing to clinical operations and business strategy. Your leadership will be instrumental in building a high-performing team, fostering a culture of data literacy, and ensuring the delivery of actionable insights that directly contribute to our mission of improving mental health for all.

• Lead and scale the data analytics function, defining its vision, strategy, and roadmap in alignment with overall business objectives.
• Develop and execute a comprehensive data analytics strategy that encompasses data collection, storage, processing, analysis, and visualization.
• Build, mentor, and lead a high-performing team of data analysts and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning.
• Collaborate closely with product, engineering, clinical, marketing, and business operations teams to understand their data needs and deliver impactful analytical solutions.
• Drive the development of robust data models, dashboards, and reporting systems that provide clear, concise, and actionable insights to stakeholders at all levels.
• Champion data literacy across the organization, empowering stakeholders to leverage data effectively in their decision-making processes.
• Ensure data quality, integrity, and governance across all data initiatives, establishing best practices and standards.
• Identify opportunities for leveraging advanced analytics and machine learning techniques to drive innovation and unlock new business value.
• Stay abreast of industry trends, emerging technologies, and best practices in data analytics to continuously evolve our capabilities.

• 8+ years of experience in data analytics, with at least 3 years in a leadership role managing and mentoring data teams.
• Proven track record of building and scaling high-performing data teams, driving significant impact through data-driven initiatives.
• Strong expertise in SQL, Python/R, and data visualization tools (e.g., Tableau, Looker, Power BI).
• Deep understanding of data warehousing concepts, ETL/ELT processes, and cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
• Experience with statistical analysis, experimental design, and machine learning principles.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex data insights to diverse audiences.
• Strategic thinker with the ability to translate complex data challenges into actionable business insights and solutions.
• Experience in the healthcare or mental health space is a significant plus.
• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics).