Sr. Director, Data & Analytics

Transcarent

2h•$200,000 - $250,000•Remote

About The Position

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.

Requirements

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 business impact.

Nice To Haves

Healthcare or other highly regulated industry experience (nice to have, not required).
Experience with responsible AI frameworks, data governance, and privacy-by-design principles.
Track record of integrating AI and analytics into customer-facing products and services.
Strong communication and storytelling skills—able to translate complex technical concepts into clear business value.

Responsibilities

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.
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.
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.
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.
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.
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.

Benefits

Competitive medical, dental, and vision coverage
Competitive 401(k) Plan with a generous company match
Flexible Time Off/Paid Time Off, 12 paid holidays
Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
Mental Health and Wellness benefits

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