VP Data and AI

Job Summary

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.

Key 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)

• 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

Qualifications

• 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

Competencies

• Data and AI expertise
• Strategic Leadership and Vision
• Business Acumen
• Data Governance, Risk and Compliance
• Team Leadership and Development

EEO Statement

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.