Head of Data

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October 29

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Octave

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Wellness • Healthcare Insurance

Octave is a mental health care provider offering affordable and accessible therapy services tailored for individual, couples, and family needs. Their services include finding and matching clients with carefully vetted therapists who are experts in various specialty areas and languages. Octave emphasizes clinical excellence with a strong focus on evidence-based and outcome-driven therapy solutions, leading to faster and more effective improvements in mental health. With both in-person and virtual therapy options available, they make mental health care convenient and embrace a diverse network of therapists, including a significant percentage who identify as Black, Indigenous, or People of Color. Octave partners with Evernorth Behavioral Care to deliver high-quality care to Cigna Healthcare and Evernorth members, enhancing access and satisfaction for their clients.

201 - 500 employees

🧘 Wellness

⚕️ Healthcare Insurance

💰 $20M Series B on 2021-05

📋 Description

• Own our end-to-end data function: analytics, data engineering, and data science. • Set the vision and roadmap for how we use data and AI/ML across the company. • Ensure our infrastructure is reliable and scalable. • Lead the development of product- and business-facing AI applications. • Partner with executives to shape company direction. • Ensure your teams deliver reliable pipelines, actionable insights, and production-ready models. • Develop current talent and hire externally to close skill gaps in critical areas like advanced data science, ML engineering, and data governance.

🎯 Requirements

• 8+ years of experience in data analytics/data science, with 4+ years in a leadership role scaling teams and delivering cross-functional impact. • Expertise with analytics reporting and data platforms Tableau, SQL, Adverity. • Fluency in SQL and Python; experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel). • Proven leadership experience overseeing multi-disciplinary data teams (engineering, analytics, science). • Track record of hiring and scaling teams at high-growth startups or scale-ups. • Experience shipping ML/AI solutions into production with measurable business impact. • Strong technical background: modern data stacks (dbt, Snowflake, Airflow), programming (Python, SQL), ML/AI frameworks. • Strategic thinker who can roll up sleeves when needed. • Excellent communication skills and ability to ‘translate’ between the data and the business via layman’s terminology of complex analytical methods to deliver a clear story to influence your recommendations with data and insights. • Established track record of building and leading high-performing data teams, fostering a culture of collaboration, accountability, and knowledge sharing; strong desire to lead and grow the team’s expertise and leadership skills. • Self-motivated to work with diverse business scenarios, handle multiple priorities, and have a business & consultancy mindset while being technically (data) savvy. • Advanced modeling techniques, strategic analysis skills, and understanding of SaaS metrics. • Proven ability to drive business intelligence initiatives across the full data stack, from automated pipelines (Fivetran, dbt, Coalesce) through warehouses (Snowflake, ClickHouse, Databricks) to visualization tools (Sigma, Power BI, Tableau, Hex); ensuring organizational data integrity and strategic insight generation. • In-depth understanding of modern data governance, security, and compliance best practices, with the ability to balance data accessibility with data integrity for data-driven projects.

🏖️ Benefits

• company sponsored life insurance • disability and AD&D plans • Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options • generous Paid Time Off • paid parental leave benefits