Sr. Director, Data & Analytics

We are seeking an accomplished Vice President, Data & AI to lead our enterprise-wide data capabilities and accelerate our transformation into a data-powered organization. This executive leader will oversee all functions across Data Engineering, Data Science, AI/ML Engineering, Analytics, and Business Intelligence, driving a unified strategy that enables trusted insights, scalable platforms, and innovative AI solutions. 

This is a high-impact leadership role responsible for defining our data vision, elevating technical excellence, and partnering across product, technology, clinical, operations, finance, and go-to-market teams. Healthcare industry experience is beneficial but not required, while deep expertise in building world-class data platforms, teams, and capabilities is essential. 

What You’ll Do 

Strategic Leadership & Vision 

• Develop and drive the enterprise data strategy aligned with company goals and long-term product and technology roadmaps. 
• Establish a clear vision for data quality, governance, interoperability, and responsible AI practices. 
• Evangelize a data-driven culture across the organization, ensuring teams can access actionable and trustworthy insights. 

Team & Organizational Leadership 

• Lead, mentor, and scale high-performing teams across data engineering, machine learning engineering, data science, and analytics. 
• Foster a culture of innovation, collaboration, experimentation, and continuous improvement. 
• Build talent pipelines and capabilities that support both rapid innovation and reliable enterprise infrastructure. 

Data Platform & Engineering 

• Own the architecture, delivery, and operation of modern, scalable data platforms—including data lakes, warehouses, streaming pipelines, and ML infrastructure. 
• Implement best-in-class engineering practices (CI/CD, observability, automation, performance optimization). 
• Ensure data availability, security, and quality to meet business, regulatory, and compliance needs. 

AI, ML, and Advanced Analytics 

• Lead the development and deployment of AI/ML models, predictive analytics, and intelligent automation solutions. 
• Partner with product and engineering teams to embed data-driven and AI-powered capabilities into our products and experiences. 
• Create a repeatable and secure ML lifecycle—model development, validation, deployment, monitoring, and governance. 

Analytics & Insights 

• Oversee enterprise analytics, reporting, self-service capabilities, and executive dashboards. 
• Partner with business leaders to translate data into actionable insights that improve outcomes, efficiency, and customer experience. 
• Ensure consistency of definitions, metrics, and KPIs across the organization. 

Operational Excellence 

• Manage budgets, vendor relationships, technology choices, and long-term investment plans. 
• Champion responsible use of AI, data privacy, compliance, and ethical data practices. 
• Implement processes that ensure reliability, scalability, and strong performance across all data services. 

Who You Are 

Required Qualifications 

• 12+ years of progressive experience in data engineering, analytics, data science, or ML/AI, with at least 5 years in senior leadership roles. 
• Demonstrated success building and scaling modern cloud-based data platforms and high-performance technical teams. 
• Deep expertise in data architecture, distributed systems, ML engineering, and advanced analytics. 
• Proven ability to partner with executives and cross-functional teams to drive strategic decision-making. 
• Experience owning enterprise data strategies and delivering measurable bus