VP, Data and AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the development and implementation of Baylor Genetics’ enterprise data and AI strategy.

• Create a scalable data platform that facilitates advanced analytics and promotes AI integration throughout the organization.

• Form and lead a high-performing team while collaborating with Technology, Genomic Sciences, Operations, and Commercial divisions.

• Define and execute the architecture for the enterprise data platform (e.g., Databricks, Snowflake, Azure ecosystem).

• Create a unified source of truth for clinical, operational, and financial data.

• Design frameworks for scalable data ingestion, processing, and storage.

• Ensure compatibility across various systems, including LIMS, reporting platforms, and enterprise applications.

• Formulate and implement the company-wide AI strategy.

• Identify and rank high-value AI use cases (clinical, operational, customer-facing).

• Lead the development and implementation of AI/ML models and GenAI solutions.

• Establish governance protocols for responsible AI (compliance, explainability, PHI protection).

• Create an enterprise data governance framework (ownership, quality, lineage).

• Ensure adherence to HIPAA, CAP, and other regulatory standards.

• Define policies for data access, security, and retention.

• Collaborate closely with Security and Compliance teams.

• Develop enterprise analytics capabilities to enhance decision-making.

• Standardize reporting and KPI definitions across the organization.

• Facilitate self-service analytics for business stakeholders.

• Build and manage the Data & AI organization (data engineering, data science, analytics).

• Establish a clear operating model and team structure.

• Mentor and cultivate technical and functional leaders.

• Collaborate with Product Engineering and Platform teams to ensure execution alignment.

⛳️ Requirements

• 12+ years of experience in data, analytics, or AI leadership roles.

• Demonstrated ability to build enterprise data platforms on a large scale.

• Experience in leading AI/ML initiatives within production environments.

• Background in healthcare, life sciences, or regulated industries is highly preferred.

• Familiarity with modern data platforms (Databricks, Snowflake, Azure, etc.).

• Expertise in data engineering (ETL/ELT, streaming, pipelines).

• Knowledge of machine learning and AI frameworks.

• Experience with data governance and security in regulated environments.

• Proven track record of building and scaling high-performing teams.

• Exceptional executive communication skills.

• Ability to convert business requirements into technical solutions.

• History of delivering measurable business impact.

🏝️ Benefits

• Health insurance.

• 401(k) matching.

• Flexible work hours.

• Paid time off.

• Remote work options.