VP Data and AI

The Vice President of Data & Artificial Intelligence will lead the design and execution of Baylor Genetics’ enterprise data and AI strategy. This role is responsible for establishing a scalable data platform, enabling advanced analytics, and driving AI adoption across the organization to improve operational efficiency, clinical outcomes, and business growth.

This leader will build and lead a high-performing team while partnering across Technology, Genomic Sciences, Operations, and Commercial teams to ensure data and AI capabilities are aligned with enterprise priorities., * Define and implement the enterprise data platform architecture (e.g., Databricks, Snowflake, Azure ecosystem)

• Establish a single source of truth across clinical, operational, and financial data
• Design scalable data ingestion, processing, and storage frameworks
• Ensure interoperability across systems including LIMS, reporting platforms, and enterprise applications

• Define and execute the company-wide AI strategy

• Identify and prioritize high-value AI use cases (clinical, operational, customer-facing)
• Lead development and deployment of AI/ML models and GenAI solutions
• Establish governance for responsible AI (compliance, explainability, PHI protection) stablish enterprise data governance framework (ownership, quality, lineage)
• Ensure compliance with HIPAA, CAP, and other regulatory standards
• Define data access, security, and retention policies
• Partner closely with Security and Compliance teams
• Build enterprise analytics capabilities to support decision-making
• Standardize reporting and KPI definitions across the organization
• Enable self-service analytics for business stakeholders
• Build and lead the Data & AI organization (data engineering, data science, analytics)
• Establish clear operating model and team structure
• Mentor and develop technical and functional leaders
• Partner with Product Engineering and Platform teams for execution alignment

• Work closely with: *

• Technology (CIO org) for platform integration
• Genomic Technology (Dr. Fan’s org) for data handoff and alignment
• Operations & Commercial teams for use case development
• Define clear data interfaces and ownership boundaries across organizations

Do you have experience in Team development?, Required

• 12+ years in data, analytics, or AI leadership roles
• Proven experience building enterprise data platforms at scale
• Experience leading AI/ML initiatives in production environments
• Healthcare, life sciences, or regulated industry experience strongly preferred
• Modern data platforms (Databricks, Snowflake, Azure, etc.)
• Data engineering (ETL/ELT, streaming, pipelines)
• Machine learning and AI frameworks
• Data governance and security in regulated environments
• Experience building and scaling high-performing teams
• Strong executive communication skills
• Ability to translate business needs into technical solutions
• Track record of delivering measurable business impact, * Data and AI expertise
• Strategic Leadership and Vision
• Business Acumen
• Data Governance, Risk and Compliance
• Team Leadership and Development