Cerebral

Director, Data and AI Strategy

Cerebral

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $175,000 - $225,000 per year

Job Level

Lead

Tech Stack

PythonSQL

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
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