Chief Data & AI Platform Leader

Accolade; United States; On-site; USD 250,000 - 420,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Paid time off

Job summary

Transcarent is seeking a VP of Data & AI to lead the enterprise data and AI platforms strategy, architecture, and execution. The role will own data engineering and AI/ML platform capabilities, partnering with Product, Engineering, Analytics, Security, and business leaders to build scalable, secure data products and services.

You will drive reliability, quality, and governance across data assets and AI initiatives, enabling rapid AI deployment.

Qualifications

• Extensive leadership experience in data/AI domains.
• Proven track record delivering enterprise data platforms.
• Experience scaling AI/ML platforms across a company.
• Strong collaboration with product, security, and analytics.
• Excellent communication and strategic thinking.

Responsibilities

• Define and lead Data & AI platform strategy, architecture, roadmaps, and operating model.
• Own and evolve the enterprise data platform for ingestion, transformation, storage, and serving data.
• Lead Data and AI Engineering, establish strong engineering practices, build pipelines and data products.
• Build AI at scale infrastructure, tooling, services, and standards for rapid model development and deployment.
• Accelerate AI experimentation to production, reducing friction and risk.
• Establish reusable Data & AI capabilities across product and engineering teams.

Skills

Leadership in Data & AI

Data Engineering

Data Platform Strategy

AI/ML Platform

Cloud Architecture

Data Governance

Stakeholder Management

Job description

Transcarent is seeking a VP of Data & AI to lead the enterprise data and AI platforms strategy, architecture, and execution. The role will own data engineering and AI/ML platform capabilities, partnering with Product, Engineering, Analytics, Security, and business leaders to build scalable, secure data products and services.

You will drive reliability, quality, and governance across data assets and AI initiatives, enabling rapid AI deployment.