Director, Enterprise Data Science & AI Strategy

Texas Health Institute; Dallas (TX); Hybrid; USD 190,000 - 260,000; Full time

Job summary

Baylor Scott & White Health is seeking a Director of Data Science to lead the enterprise data science portfolio and transform business, clinical, and operational priorities into measurable analytical products. The role oversees model evaluation, production deployment with AI Engineering, and evidence of value across domains.

In Data & Knowledge, you will set the operating model, prioritize capacity, and build a high-performing team while partnering with governance, privacy, and security leaders

Qualifications

• Requires leadership of an enterprise data science portfolio with measurable outcomes.
• Experience moving analytics from discovery to production and governance.
• Strong ability to communicate strategy, risks, and tradeoffs to senior leaders.

Responsibilities

• Define the enterprise data science roadmap aligned with strategic priorities and value opportunities.
• Establish intake and prioritization with value hypotheses, feasibility, data readiness, risks, and capacity.
• Staffing, funding, vendor, and build-or-buy decisions for data science capabilities.
• Set standards for model development, documentation, validation, monitoring, and lifecycle management.
• Lead cross-functional collaboration with Product, Enterprise Data, Data Engineering, AI Engineering, Governance, Privacy, and Security.

Skills

Executive communication

Leadership

Stakeholder influence

Strategic thinking

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Data Science/Statistics/CS/Math/Engineering

Master's or PhD preferred

Tools

Python

R

SQL

Jupyter notebooks

Cloud platforms

Job description

Baylor Scott & White Health is seeking a Director of Data Science to lead the enterprise data science portfolio and transform business, clinical, and operational priorities into measurable analytical products. The role oversees model evaluation, production deployment with AI Engineering, and evidence of value across domains.

In Data & Knowledge, you will set the operating model, prioritize capacity, and build a high-performing team while partnering with governance, privacy, and security leaders