VP, Data Architecture

Responsibilities

• Lead the design, development, and evolution of Accuity’s Azure-based enterprise data architecture, including the migration from the SQL Server based architecture to a modern Databricks lakehouse, partnering with the CTO and Databricks on sequencing and delivery.
• Own the data platforms, data architecture, data applications, data pipelines, and analytics enablement capabilities that support Accuity’s business operations, technology platforms, reporting needs, and AI/ML enablement.
• Evaluate current and future data platform needs and recommend improvements to support scalability, reliability, automation, security, performance, and cost efficiency.
• Identify and lead initiatives to reduce data platform infrastructure and licensing costs through modernization and rationalization of the legacy stack.
• Lead data-centric initiatives supporting SaaS applications, ETL processes, encounter-level and revenue cycle data processing, reporting engines, enterprise analytics, and future machine learning enablement.
• Design, build, and optimize data applications, data platforms, data pipelines, data warehouses, data models, data flows, and reporting infrastructure.
• Develop and guide the development of database solutions used to store, retrieve, integrate, and analyze company information.
• Migrate and phased decommission legacy database objects, stored procedures, views, SSIS packages, and related data assets as part of the transition to the modern data platform.
• Analyze structural requirements for new data applications, software capabilities, reporting needs, and analytics solutions.
• Improve data system performance through testing, troubleshooting, query optimization, automation, and integration of new data platform capabilities.
• Define and maintain appropriate data security, backup, recovery, and operational support procedures for assigned platforms.
• Support operational reporting and Management Information Systems needs as required.
• Own and lead the Data Engineering and Data Operations functions, managing and developing a team of direct reports that includes database developers/engineers, data analysts, data architects, and related technical roles.
• Partner with the CTO and Technology leadership to prioritize data initiatives aligned with company objectives, operational needs, client outcomes, and product capabilities.
• Translate business requirements into data platform strategies, technical designs, program enhancements, and delivery roadmaps.
• Collaborate with Data Science to operationalize models by ensuring availability, quality, structure, integration, and performance of required data assets.
• Coordinate cross-functional stakeholders to launch data, analytics, and AI/ML enablement initiatives.
• Ensure clear ownership boundaries between Data Architecture and Data Science, with Data Architecture owning platforms, pipelines, and enablement, and Data Science owning model development.
• Oversee periodic data cleansing, fuzzy matching, grouping, and related data quality improvement activities.
• Ensure data platforms and processes are designed with appropriate controls, access considerations, documentation, security, backup, and recovery procedures.
• Support compliance-aligned data practices appropriate for healthcare technology and revenue cycle environments.
• Partner with security, compliance, and technology stakeholders to support privacy, security, and audit readiness expectations.

Qualifications

• Bachelor’s degree in Computer Science, Business Intelligence, Engineering, Mathematics, Information Systems, or a related field preferred.
• Relevant technical certifications in Azure, database administration, data architecture, data engineering, analytics, security, or related disciplines preferred.
• Minimum of 10 years of progressive experience in data architecture, database architecture, data engineering, database development, or database administration across enterprise environments.
• Minimum of 3 years of Azure-based data platform experience, including hands-on experience leading a migration from a SQL Server / RDBMS environment to a modern cloud data platform (Databricks, Snowflake, or similar lakehouse architecture).
• Minimum of 5 years of experience leading or managing technical teams.
• Experience supporting data architecture or data engineering capabilities for analytics, reporting, SaaS applications, or AI/ML enablement.
• Healthcare, healthcare revenue cycle, SaaS, healthcare technology, analytics, or technology-enabled services experience preferred.
• Experience supporting secure or regulated data environments involving PHI, HIPAA, HITRUST, SOC 2, or similar privacy, security, or compliance requirements preferred.