Salary
💰 $175,000 - $225,000 per year
About the role
- Own and scale our data stack (Snowflake, dbt, Looker) to ensure high-quality, reliable data pipelines
- Integrate third-party systems (EHRs, payors, marketing, operations, and product tools) into a unified data ecosystem
- Implement best practices for governance, compliance, and security, especially within healthcare/PHI environments (HIPAA)
- Define and maintain a source of truth for key business and clinical metrics (patient outcomes, engagement, provider productivity, financial KPIs)
- Deliver executive-level dashboards and insights to guide decision-making across the leadership team and board
- Partner with Product, Engineering, Operations, and Clinical teams to enable data-driven experimentation, forecasting, and continuous improvement
- Develop and own Cerebral’s AI/ML strategy, identifying opportunities to enhance care delivery, clinical quality, patient experience, and operational efficiency
- Partner with product and engineering leaders to shape the roadmap for AI-enabled products (clinical decision support, patient engagement, automation)
- Translate advancements in generative AI and predictive analytics into safe, ethical, and compliant applications in mental health care
- Build and scale a high-performing team of data engineers, analysts, and scientists
- Serve as the executive thought partner for data and AI strategy, guiding leadership on opportunities and risks
- Foster a culture of data literacy and evidence-based decision-making across the organization
Requirements
- 7+ years of progressive experience in data leadership roles, ideally within healthcare or health tech
- Deep expertise in Snowflake, dbt, Looker, and data integrations
- Strong track record of reporting business and clinical metrics to executives and boards
- Familiarity with AI/ML concepts (LLMs, predictive models, personalization, automation) and experience driving AI initiatives
- Excellent stakeholder management, communication, and leadership skills
- Strategic thinker with the ability to balance long-term vision and immediate execution
- Prior experience working with healthcare data (EHRs, claims, PHI) in compliance with HIPAA
- Hands-on skills in SQL and Python
- Familiarity with regulatory environments and payor/provider systems in mental health