• Conduct a comprehensive current-state assessment of our UDMH and data integration landscape. • Document institutional knowledge and undocumented architecture currently held by a single contributor, with the goal of eliminating personnel-based single points of failure (SPOFs). • Develop and maintain architecture artifacts including data flow diagrams, system dependencies, integration points, and technical documentation. • Lead technology evaluations and proof-of-concept efforts for emerging interoperability tools (e.g., FHIR servers, interface engines, AI/ML-driven transformation platforms) to validate scalable and innovative architecture components. • Evaluate proprietary vs. non-proprietary paths for UDMH, providing technical and strategic recommendations based on scalability, cost, flexibility, and long-term sustainability. • Define and communicate a future-state data architecture roadmap that supports scalability, fault tolerance, and evolving organizational needs. • Design and implement interoperable data solutions using standards such as FHIR and HL7 to support seamless integration across healthcare systems. • Provide subject matter expertise in source-to-target mapping across data systems and specifications • Oversee the integration of diverse data sources into a unified, governed data platform to support both clinical and operational use cases. • Define data models, classifications, and types that align with business and clinical application needs. • Establish KPIs and monitoring frameworks to assess system performance, availability, data quality, and architectural resilience over time. • Lead and enforce data governance frameworks to ensure compliance with HIPAA and other regulatory standards, emphasizing data quality, privacy, and security. • Continuously optimize and automate data integration workflows, improving availability, performance, and operational efficiency. • Collaborate with clinical, technical, and leadership stakeholders to align data strategies with business objectives and patient outcomes. • Partner with security and IT teams to ensure strong authentication, encryption, and access controls for sensitive healthcare data. • Serve as a mentor and knowledge-sharing leader for data engineers, analysts, and developers, ensuring institutional knowledge is distributed and scalable.