Senior Data Architect

Key Responsibilities

Enterprise Data Architecture & Strategy

• Design, develop, and maintain enterprise data architecture supporting clinical, financial, operational, quality, research, and regulatory reporting.
• Architect and manage enterprise data warehouses, lakehouses, operational data stores, and subject-area data marts.
• Define enterprise data standards, data models, metadata frameworks, and data governance practices.
• Develop long-term data architecture roadmaps aligned with business goals and organizational strategy.
• Evaluate emerging technologies and recommend modern platforms that improve scalability, performance, and analytics capabilities.

Data Engineering & Integration

• Architect and develop scalable ETL/ELT solutions that integrate data from multiple enterprise systems.
• Design and maintain robust data pipelines supporting healthcare, financial, operational, research, and external reporting requirements.
• Integrate and transform data from EHR systems, ERP applications, survey platforms, quality management systems, research databases, and third-party applications.
• Optimize database performance, stored procedures, data models, and data processing workflows.
• Ensure enterprise data assets are standardized, validated, and analytics ready.

Data Warehouse Modernization & Cloud Analytics

• Lead modernization initiatives that transition legacy data warehouse environments to modern cloud-based analytics platforms.
• Design and implement solutions leveraging Microsoft Fabric, OneLake, Data Factory, Lakehouse, Data Warehouse, Power BI, Snowflake, and other modern analytics technologies.
• Develop scalable architectures that support real-time analytics, self-service reporting, advanced analytics, and future AI initiatives.
• Evaluate migration strategies for legacy ETL processes, reporting environments, and data marts.
• Establish best practices for cloud data management, governance, security, and performance optimization.

Business Intelligence & Power BI

• Design, develop, and maintain enterprise Power BI dashboards, reports, scorecards, and executive analytics solutions.
• Create semantic models, reusable datasets, KPIs, and data visualizations that enable consistent reporting across the organization.
• Implement Power BI governance standards, security models, deployment processes, and performance optimization practices.
• Develop and support self-service analytics capabilities for business users and leadership teams.
• Partner with stakeholders to define reporting requirements and deliver actionable insights through modern visualization technologies.
• Maintain and enhance enterprise business intelligence platforms including Power BI, Qlik Sense, SSRS, Crystal Reports, and other reporting solutions.

Clinical Analytics & Healthcare Reporting

• Design and support analytics solutions for behavioral healthcare, population health, quality improvement, patient outcomes, and performance measurement initiatives.
• Develop reporting frameworks for clinical quality measures, productivity metrics, patient experience, crisis services, and outcome tracking.
• Support reporting and analytics for federal, state, regulatory, accreditation, and grant-funded programs.
• Collaborate with clinical and operational leaders to identify meaningful metrics that improve organizational performance and patient care.
• Ensure reporting methodologies align with industry standards and organizational objectives.

Financial & Operational Analytics

• Develop enterprise reporting solutions supporting revenue cycle, billing, claims, reimbursement, general ledger, and financial performance management.
• Design operational dashboards and scorecards supporting workforce management, productivity, service delivery, and strategic planning.
• Enable leadership visibility into financial and operational performance through trusted, enterprise-wide analytics.

Data Governance, Quality & Compliance

• Establish and maintain enterprise data governance frameworks and stewardship practices.
• Develop data validation, quality assurance, reconciliation, and auditing processes.
• Ensure compliance with regulatory requirements, reporting standards, and organizational policies.
• Promote data integrity, consistency, accuracy, and transparency across all reporting and analytics environments.
• Lead initiatives to improve data literacy and adoption across the organization.

Leadership & Stakeholder Collaboration

• Serve as a trusted advisor to executive, clinical, operational, finance, and research leadership teams.
• Translate complex business requirements into scalable data architecture and analytics solutions.
• Lead cross-functional projects involving data integration, reporting modernization, and analytics transformation.
• Mentor analysts, developers, and data professionals on architecture, reporting, and data management best practices.
• Drive a culture of data-informed decision-making throughout the organization.