RIT Solutions, Inc.
Data Steward
RIT Solutions, Inc., Southfield, Michigan, United States, 48076
This role is Operations side, Business-facing, and non-technical. They need a true Operations side Data Steward with experience with and deep understanding of Clinical provider data, governance, and business operations and practices. See highlighted areas below. Thanks.
Location: REMOTE
MUST HAVES: 5+ years of experience as an Operational Data Steward in Healthcare Payer or Provider organizations with Business-Facing Stakeholders. 5+ years for experience Deep understanding of Clinical / Provider Data and Business Operations and practices (Knowledgeable in how clinical data standards are governed). 5+ years of experience enforcing and optimizing Data dictionaries, data glossaries, data lineage, data policies, standards, and rules in real-time, across different data systems and sources.
Care Plans, Electronic medical records (EMR / EHR), Health records, HL7, FHIR, interoperability, Arcadia, Medicare, Medicaid, Care management, Physician Data Governance standards (manage, maintain, enforce vs define, create, capture), Agile (JIRA, Rally, etc), data tools such as Snowflake, Tableau, Collibra, Infosphere
Role Summary: The Clinical (Provider) Data Steward is a member of a cross-functional Data Governance team who partners with business, technical, and regulatory partners to ensure the documentation and implementation of data standards. The Data Steward leads complex, cross-organizational conversations - including risk assessment, data quality auditing, issue management, and knowledge management - to ensure Provider / Clinical data is fit for organization use. Candidates should have a strong data management background understanding how data is organized and relationships maintained between data domains across multiple enterprise system with a strong drive towards improving data quality and governance.
This role will focus on optimizing already established data governance policies and practices. Improved execution and monitoring ("operational") vs "green field" or new implementation of Data stewardship/ Governance design).
Responsibilities:
Serves as Data Steward as part of an Agile team dedicated to Clinical data operations & initiatives Leads Data Governance collaborations with Government stakeholders to document, define, maintain, and manage Medicare & Medicaid data standards and assets. Assesses and monitors data quality metrics, analyzing trends and proactively promoting remediation and preventive action efforts. Partners with IT and business teams to ensure the use of best practices and compliance with data standards. Provides consultative stewardship services to delivery and issue resolution teams, serving as subject matter expert as needed. Provides guidance on development, usage, and inventory of technical assets. Represents GBS Data Governance in enterprise workgroups and data steward communities of practice.
Qualifications:
5+ years professional work experience in: enterprise level Data Stewardship, Data Governance, Data Management and Data Quality practices Clinical data standards and operations, including:
Health Services / Care Management (utilization management, case management, demand management, care plans, incentives) Health Profiles / History (e.g., health assessments, electronic medical records) Health Measurement (evidence based medicine, episodes of care, health risk scores, next best actions) Healthcare Interoperability standards and solutions (e.g., HL7, FHIR, Arcadia)
Strong communications skills; written, verbal and presentation Self-driven and able to function with minimal direction Has the ability to engage business and data stakeholders to resolve questions or issues Must have the ability to handle multiple and sometimes competing priorities in a fast-paced environment Must be able to think creatively, innovate and flex where needed - quick/adaptive learner and collaborator/team player Must have strong analytical and problem-solving capabilities Able to strategize across complex, cross-functional projects and initiatives Experience in Agile Methodology and tools (e.g., Jira, Rally, etc.) Intermediate to Advanced data analysis skills and tools (e.g., SQL, SAS, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.) Bachelor's degree or higher
Location: REMOTE
MUST HAVES: 5+ years of experience as an Operational Data Steward in Healthcare Payer or Provider organizations with Business-Facing Stakeholders. 5+ years for experience Deep understanding of Clinical / Provider Data and Business Operations and practices (Knowledgeable in how clinical data standards are governed). 5+ years of experience enforcing and optimizing Data dictionaries, data glossaries, data lineage, data policies, standards, and rules in real-time, across different data systems and sources.
Care Plans, Electronic medical records (EMR / EHR), Health records, HL7, FHIR, interoperability, Arcadia, Medicare, Medicaid, Care management, Physician Data Governance standards (manage, maintain, enforce vs define, create, capture), Agile (JIRA, Rally, etc), data tools such as Snowflake, Tableau, Collibra, Infosphere
Role Summary: The Clinical (Provider) Data Steward is a member of a cross-functional Data Governance team who partners with business, technical, and regulatory partners to ensure the documentation and implementation of data standards. The Data Steward leads complex, cross-organizational conversations - including risk assessment, data quality auditing, issue management, and knowledge management - to ensure Provider / Clinical data is fit for organization use. Candidates should have a strong data management background understanding how data is organized and relationships maintained between data domains across multiple enterprise system with a strong drive towards improving data quality and governance.
This role will focus on optimizing already established data governance policies and practices. Improved execution and monitoring ("operational") vs "green field" or new implementation of Data stewardship/ Governance design).
Responsibilities:
Serves as Data Steward as part of an Agile team dedicated to Clinical data operations & initiatives Leads Data Governance collaborations with Government stakeholders to document, define, maintain, and manage Medicare & Medicaid data standards and assets. Assesses and monitors data quality metrics, analyzing trends and proactively promoting remediation and preventive action efforts. Partners with IT and business teams to ensure the use of best practices and compliance with data standards. Provides consultative stewardship services to delivery and issue resolution teams, serving as subject matter expert as needed. Provides guidance on development, usage, and inventory of technical assets. Represents GBS Data Governance in enterprise workgroups and data steward communities of practice.
Qualifications:
5+ years professional work experience in: enterprise level Data Stewardship, Data Governance, Data Management and Data Quality practices Clinical data standards and operations, including:
Health Services / Care Management (utilization management, case management, demand management, care plans, incentives) Health Profiles / History (e.g., health assessments, electronic medical records) Health Measurement (evidence based medicine, episodes of care, health risk scores, next best actions) Healthcare Interoperability standards and solutions (e.g., HL7, FHIR, Arcadia)
Strong communications skills; written, verbal and presentation Self-driven and able to function with minimal direction Has the ability to engage business and data stakeholders to resolve questions or issues Must have the ability to handle multiple and sometimes competing priorities in a fast-paced environment Must be able to think creatively, innovate and flex where needed - quick/adaptive learner and collaborator/team player Must have strong analytical and problem-solving capabilities Able to strategize across complex, cross-functional projects and initiatives Experience in Agile Methodology and tools (e.g., Jira, Rally, etc.) Intermediate to Advanced data analysis skills and tools (e.g., SQL, SAS, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.) Bachelor's degree or higher