VP, Data and AI

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🧬 Biotechnology

🔬 Science

Biotechnology • Science

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Lead the design and execution of Baylor Genetics’ enterprise data and AI strategy • Establish a scalable data platform, enabling advanced analytics, and driving AI adoption across the organization • Build and lead a high-performing team while partnering across Technology, Genomic Sciences, Operations, and Commercial teams • 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

🎯 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

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options