VP, Data and AI

Baylor Genetics

Vice President of Data & AI leading enterprise data and AI strategy at Baylor Genetics. Establishing scalable data platforms and driving AI adoption for operational efficiency and business growth.

Posted 6/12/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

data platform architecturedata ingestiondata processingdata storage frameworksAI/ML modelsGenAI solutionsdata governancedata securityETLELT

Soft Skills

leadershipteam buildingmentoringexecutive communicationcollaborationdecision-makingtranslating business needsorganizational skillsstrategic thinkingproblem-solving

Tools & Technologies

DatabricksSnowflakeAzureLIMSreporting platformsenterprise applicationsanalytics capabilitiesself-service analyticsdata engineering toolsAI frameworks

Industry Keywords

healthcarelife sciencesregulated industryHIPAACAPcompliancedata lineagedata qualityinteroperabilitybusiness impact

Tech Stack

Tools & technologies

AzureETL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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