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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP Data and AI - **Company:** Baylor Miraca Genetics Laboratories, LLC - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Interoperability, Laboratory Information Management Systems, Machine Learning, Data Streaming, Enterprise Data Management, Data Server Interface, Enterprise Software Applications, Data Ingestion, Snowflake, Tools for Reporting, Databricks - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c18316e97a235b49 ## About the Role Do you have experience in Team development?, Required * 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, * Data and AI expertise * Strategic Leadership and Vision * Business Acumen * Data Governance, Risk and Compliance * Team Leadership and Development ## Description 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., * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)