VP Data and AI

Baylor Genetics•,

About The Position

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.

Requirements

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

Responsibilities

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)
Establish 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