VP, Enterprise Data Analytics

Position Summary

The Vice President, Chief Data Officer (CDO) provides enterprise leadership for data strategy, governance, and analytics across the healthcare system. This senior executive drives the vision, architecture, and execution of an integrated data ecosystem that fuels clinical, operational, and financial excellence. Partnering with executive, clinical, and business leaders, the CDO transforms data into actionable intelligence that improves outcomes, enhances efficiency, ensures revenue integrity, and enables strategic decision-making. 
The role focuses on leveraging Vizient analytics for benchmarking and performance improvement and AWS/Redshift as the enterprise cloud data and analytics platform, while advancing digital enablement, unlocking value from analytics, and scaling trustworthy AI to deliver measurable improvements in quality, access, experience, growth, and cost.
 

The role focuses on leveraging Vizient analytics for benchmarking and performance improvement and AWS/Redshift as the enterprise cloud data and analytics platform, while advancing digital enablement, unlocking value from analytics, and scaling trustworthy AI to deliver measurable improvements in quality, access, experience, growth, and cost.

Key Responsibilities

1. Enterprise Data Strategy and Value Creation

•    Define and execute a multi-year enterprise data and analytics strategy that treats data as a strategic asset across the continuum of care.
•    Develop the organizational structure, roadmap, and governance model to support data-driven transformation across clinical, operational, and financial domains.
•    Drive initiatives that unlock measurable economic and clinical value from data—reducing waste, optimizing resource allocation, and improving revenue cycle performance.

2. Data Governance and Compliance

•    Design, implement, and enforce a comprehensive Data Governance framework (policies, standards, and procedures) to ensure data integrity, consistency, privacy, and compliance.
•    Lead the creation of a unified data catalog and stewardship model to ensure accuracy, transparency, and accessibility of critical datasets.

3.Data Quality, Trust, and Stewardship

•    Institute data stewardship, metadata management, and data quality monitoring programs aligned with HIPAA, CMS, and ONC regulations to ensure clinicians and leaders can trust data used for decision-making.
•    Oversee ongoing data validation, lineage tracking, and master data management processes to maintain reliability and consistency.

4. Modern Data Architecture and Cloud Enablement
•    Direct the modernization of the enterprise data architecture including cloud data platforms, data lakes, and data models built on AWS/Redshift.
•    Lead the cloud-first strategy for data science, analytics, and AI/ML initiatives—ensuring scalability, security, and real-time analytics capabilities.

5. Analytics, AI, and Innovation
•    Oversee the end-to-end lifecycle of advanced analytics and AI/ML solutions—from ideation to deployment and performance monitoring.
•    Champion data-driven innovations in clinical prediction, operational efficiency, supply chain optimization, and patient flow management.
•    Establish and operationalize a Business Intelligence Center of Excellence (BICOE) to standardize reporting, visualization, and insight generation across the system.

6. Ethical and Trustworthy AI
•    Develop and enforce standards for Ethical and Trustworthy AI, ensuring all models are transparent, explainable, fair, and continuously monitored for bias or drift.
•    Ensure all analytics and AI initiatives adhere to ethical, regulatory, and privacy standards, promoting accountability and public trust.

7. Data Democratization and Culture
•    Implement self-service analytics tools and governance-controlled data access to empower operational, clinical, and research teams.
•    Promote a data-literate and insight-driven culture, embedding analytics in everyday decision-making.
 

Data Architecture and Platforms
Enterprise Data Architecture (AWS / Redshift)
•    Oversee the design, build, and optimization of the AWS cloud-based data lake and Redshift warehouse architecture to enable secure, scalable, and high-performance analytics.
•    Ensure seamless integration of data across EHR (Epic), ERP (Oracle), CRM, and clinical/ancillary systems into a unified enterprise data fabric.
•    Partner with Information Security to enforce robust data protection, encryption, and access control across AWS environments in alignment with HIPAA and system cybersecurity policies.
•    Drive adoption of modern, serverless