Data Architect

2 days ago

Honolulu, Hawaii, United States HMSA Full time

Lead Information Strategy:

Collaborate with business unit leadership to develop a comprehensive information strategy that aligns with the organization's goals and objectives. This includes rationalizing the information value chain, identifying opportunities to maximize the value of information assets, and developing strategic recommendations to drive business outcomes.

Maximize Value from Data and Analytics:

Foster value creation through data exploitation, envisioning data-enabled strategies, and enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy. Work with data and analytics leaders, data science and analytics specialists, and information management staff to develop and implement data-driven solutions that drive business value.

Surface Information Priority:

Assess the benefits and risks of information using tools such as business capability models to create an information-centric view of the organization's information landscape. This includes identifying key information assets, understanding their value, and developing strategies to maximize their value.

Enhance Decision Making:

Use business information models to provide a future-state view of the information landscape that is unencumbered by specific data implementation details. Assist decision design and enable effective data and analytics governance by suggesting who can take what actions with what information, and under what circumstances.

Conduct Business Information Modeling:

Create and manage business information models in all their forms, including conceptual models, relational database designs, message models, and others. This includes developing and maintaining business information models that align with the organization's information strategy and goals.

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. Work with the chief information security officer (CISO) to ensure that enterprise data and analytics assets are treated as protected assets.

Enable Enterprise Information Management:

Ensure that the architecture is used as a lens and a filter to identify, prioritize, and execute data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes. Collaborate with data and analytics leaders, data science and analytics specialists, information management staff, solution developers, and business domain stakeholders to develop and implement data-driven solutions that drive business value.

Secure Data and Analytic Assets:

Aid in the analysis of data and analytics security requirements and solutions, and work with the CISO to ensure that enterprise data and analytics assets are treated as protected assets. This includes developing and implementing data security and analytics governance policies and procedures that align with the organization's information strategy and goals.

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, data science and analytics specialists, information management staff, solution developers, and business domain stakeholders to develop and implement data-driven solutions that drive business value.

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