A.O. Smith
Nashville, Tennessee
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
SPS Health LLC
Milwaukee, Wisconsin
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
OhioHealth
Columbus, Ohio
OhioHealth is seeking an Epic Senior Systems Analyst to join our Information Technology team supporting our statewide healthcare network. In this role, you will lead the analysis, design, configuration, and optimization of Epic applications to enhance clinical and business workflows across our hospitals and ambulatory sites. You will partner closely with clinicians and operational leaders to translate requirements into secure, reliable Epic solutions, manage upgrades and integrations, and provide advanced troubleshooting and on-call support. OhioHealth offers a collaborative, inclusive culture, meaningful community impact, competitive benefits, and ongoing professional growth in a mission-driven healthcare environment. Responsibilities Lead analysis, design, build, and optimization of Epic applications to support clinical and revenue cycle workflows Collaborate with clinicians, IT, and operations to gather requirements and translate them into Epic solutions Configure, test, and validate Epic enhancements, integrations, and upgrades Troubleshoot complex Epic issues, perform root-cause analysis, and implement sustainable fixes Develop documentation, training materials, and provide end-user support and education Ensure data integrity, privacy, and regulatory compliance across Epic systems Participate in on-call rotation and provide advanced production support Drive continuous improvement, standardization, and adoption of Epic best practices Required Skills Epic application configuration (e.g., Epic Care, Ambulatory, Inpatient, or Revenue Cycle modules) Epic reporting tools (Reporting Workbench, Radar, Clarity/Caboodle concepts) Healthcare workflow analysis and process redesign Requirements gathering and technical specifications writing Systems integration (interfaces, HL7/FHIR concepts) SQL or data querying for validation and analysis Testing methodologies and change management in healthcare ITIncident, problem, and release management tools (e.g., Service Now) Regulatory and compliance awareness (HIPAA, security best practices) Project coordination and stakeholder communication
OhioHealth is seeking an Epic Senior Systems Analyst to join our Information Technology team supporting our statewide healthcare network. In this role, you will lead the analysis, design, configuration, and optimization of Epic applications to enhance clinical and business workflows across our hospitals and ambulatory sites. You will partner closely with clinicians and operational leaders to translate requirements into secure, reliable Epic solutions, manage upgrades and integrations, and provide advanced troubleshooting and on-call support. OhioHealth offers a collaborative, inclusive culture, meaningful community impact, competitive benefits, and ongoing professional growth in a mission-driven healthcare environment. Responsibilities Lead analysis, design, build, and optimization of Epic applications to support clinical and revenue cycle workflows Collaborate with clinicians, IT, and operations to gather requirements and translate them into Epic solutions Configure, test, and validate Epic enhancements, integrations, and upgrades Troubleshoot complex Epic issues, perform root-cause analysis, and implement sustainable fixes Develop documentation, training materials, and provide end-user support and education Ensure data integrity, privacy, and regulatory compliance across Epic systems Participate in on-call rotation and provide advanced production support Drive continuous improvement, standardization, and adoption of Epic best practices Required Skills Epic application configuration (e.g., Epic Care, Ambulatory, Inpatient, or Revenue Cycle modules) Epic reporting tools (Reporting Workbench, Radar, Clarity/Caboodle concepts) Healthcare workflow analysis and process redesign Requirements gathering and technical specifications writing Systems integration (interfaces, HL7/FHIR concepts) SQL or data querying for validation and analysis Testing methodologies and change management in healthcare ITIncident, problem, and release management tools (e.g., Service Now) Regulatory and compliance awareness (HIPAA, security best practices) Project coordination and stakeholder communication