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About The Position
The Lead Analytics Architect is responsible for leading the design, development, and optimization of enterprise analytics solutions centered around Epic’s data ecosystem, including Clarity and Wisdom. This role drives the organization’s data strategy by transforming complex clinical, financial, and operational data into scalable, governed, and analytics-ready platforms. The role partners closely with clinical, financial, and operational leadership to deliver high-impact insights, enabling data-driven decision-making across population health, revenue cycle, quality, and operational performance. This role will also be responsible for leading a team of data analysts to ensure compliance with data architecture.
Requirements
- 5+ years of experience in healthcare data architecture, analytics engineering, or data warehousing.
- Deep expertise in Epic data models, including Clarity.
- Strong experience with SQL development and performance tuning in large healthcare databases.
- Strong understanding of healthcare workflows across clinical, financial, and operational domains.
- Experience with healthcare data standards and interoperability (HL7, FHIR).
- Deep knowledge of HIPAA and healthcare data governance requirements.
- Demonstrated leadership experience managing or mentoring technical teams.
Nice To Haves
- Familiarity with Wisdom.
- Experience with BI tools such as Power BI or Tableau
- Knowledge of data orchestration tools (e.g., Azure Data Factory).
- Epic certifications in Clarity or related areas (preferred but not required).
Responsibilities
- Lead the architecture and evolution of Epic data platforms, including Clarity and Wisdom.
- Design scalable data models that support enterprise reporting, dashboards, and advanced analytics use cases.
- Establish standards for data modeling, naming conventions, and data lifecycle management across Epic and downstream systems.
- Oversee development and optimization of ETL/ELT pipelines from Epic sources, including Clarity extracts and external systems.
- Integrate Epic data with non-Epic sources (Tableau, PowerBI, claims, financial systems, third-party applications) to create a unified analytics layer.
- Optimize performance of large-scale SQL workloads within Epic reporting databases and downstream data platforms.
- Enable analytics teams by delivering analytics-ready data layers for Power BI, Tableau, and other BI tools.
- Support advanced use cases including predictive analytics, risk stratification, and population health initiatives.
- Establish and enforce data governance frameworks across Epic data domains, including definitions, lineage, and stewardship.
- Ensure data quality through validation, reconciliation, and monitoring processes across Clarity and Wisdom layers.
- Maintain compliance with HIPAA, HITECH, and organizational data security policies.
- Lead and mentor a team of data analysts supporting Epic analytics.
- Collaborate with clinical, revenue cycle, finance, and operational leaders to translate business requirements into scalable data solutions.
- Act as a strategic advisor on Epic reporting capabilities, limitations, and optimization opportunities.
- Define best practices for SQL development, indexing strategies, and query optimization within Clarity environments.
- Drive performance improvements for dashboards, reporting extracts, and large-scale analytics workloads.
- Standardize development frameworks, reusable components, and documentation practices.