HMSA
Data Architect
HMSA, Honolulu, Hawaii, United States, 96814
Responsibilities include, but are not limited to the following:Influence information strategy:
By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic recommendations to maximize the value of information assets via their creation, access and use.Maximize value derived from data and analytics:
Foster value creation using the organization's data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.Surface information priority:
Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.Enhance decision making:
Use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Assist decision design.Enable effective data and analytics governance:
Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.Conduct business information modeling:
Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others.Manage risk:
Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.Enable enterprise information management:
Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.Secure data and analytic assets:
Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer (CISO) to ensure that enterprise data and analytics assets are treated as protected assets.Improve enterprise information management performance:
Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.Collaborate with data and analytics leaders:
Work with data science and analytics specialists, information management staff, solution developers and business domain stakeholders, such as information managers, data stewards and business analysts.Provides consulting support:
Within projects to ensure architectural alignment.Establishes relationships:
With business partners and the IT organization in order to provide data solutions to meet user needs and influence strategic initiatives.Understands technology trends:
To enable evolving business and operation models.Identifies governance activities:
Required to support regulatory compliance, and architecture assurance.Ensures alignment:
Of business roadmaps from current to future state technology roadmaps.Maintains documentation:
Of design and architecture analysis work.
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By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic recommendations to maximize the value of information assets via their creation, access and use.Maximize value derived from data and analytics:
Foster value creation using the organization's data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.Surface information priority:
Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.Enhance decision making:
Use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Assist decision design.Enable effective data and analytics governance:
Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.Conduct business information modeling:
Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others.Manage risk:
Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.Enable enterprise information management:
Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.Secure data and analytic assets:
Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer (CISO) to ensure that enterprise data and analytics assets are treated as protected assets.Improve enterprise information management performance:
Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.Collaborate with data and analytics leaders:
Work with data science and analytics specialists, information management staff, solution developers and business domain stakeholders, such as information managers, data stewards and business analysts.Provides consulting support:
Within projects to ensure architectural alignment.Establishes relationships:
With business partners and the IT organization in order to provide data solutions to meet user needs and influence strategic initiatives.Understands technology trends:
To enable evolving business and operation models.Identifies governance activities:
Required to support regulatory compliance, and architecture assurance.Ensures alignment:
Of business roadmaps from current to future state technology roadmaps.Maintains documentation:
Of design and architecture analysis work.
#J-18808-Ljbffr