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Enterprise Data Architect
3 months ago
Title- Enterprise Data Architect
Duration: Full Time
Location- Palo Alto, CA (Hybrid 2 day/Week in office)
- The Data Architect will provide leadership and own the blueprint for Health Care and School of Medicine data management and Analytics. An ideal candidate is someone who have lived in the data world both cloud and on-prem and has a breadth of experience in all type of data stores – relational, image, object etc. Experience with both transactional and warehouse data is required. Healthcare experience would be ideal. The individual should have a point of view and speak to data architectures with authority and back it up with detailed technical knowledge and experience. The Architect should have experience is AI and machine learning systems. The role will include analysing and proposing architectures for data related projects, data and analytics platform management and well as data interoperability across client and external entities. The candidate should be knowledgeable of data standards, regulations, privacy, and security implications in a regulated industry.
What you will do
- 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 pro actively 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) [and CDAO] to ensure that enterprise data and analytics assets are treated as protected assets.
- Improve EIM performance: Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), meta data management, analytics, content management, data integration, and related information management or information infrastructure components.
Education Qualifications
- Bachelor's Degree Computer and Information Science Bachelor’s in computer science Required
- Master's Degree Computer and Information Science MS preferred Preferred
Experience Qualifications
- 10+ years to 15 years A minimum of 12+ years of experience in IT, majority in information system design.
- 5+ years to 7 years A minimum of 5 years as a Data Architect with progressively increasing responsibility.
Required Knowledge, Skills and Abilities
- In-depth experience of designing and implementing information solutions.
- Experience in architecture practice, tools, and methodologies.
- Demonstrate the ability to work well with others and exhibit leadership.
- Have a track record of remaining unbiased toward specific technologies or vendors.
- Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.
- Be able to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles.
- Organizationally savvy, with a good understanding of the enterprise's political climate and how to navigate, influence and persuade political waters.
- Ability to communicate, influence and persuade peers and leadership.
- Ability to understand the long-term ("big picture") and short-term perspectives of situations.
- Ability to quickly comprehend the functions and capabilities of new technologies.
- Displays intellectual curiosity and integrity.
