Enterprise Data Architect

$184,974 - $184,974/Yr

Stanford Health Care - Palo Alto, CA

Full-time - Senior

Palo Alto, CA

Hospitals

About the position

The Data Architect will provide leadership and own the blueprint for Stanford Health Care and School of Medicine data management and analytics. An ideal candidate is someone who has extensive experience in both cloud and on-prem data environments, with a breadth of knowledge in various types of data stores including relational, image, and object data. Experience with both transactional and warehouse data is required, and healthcare experience is preferred. The individual should possess a strong point of view on data architectures, supported by detailed technical knowledge and experience. Additionally, the Architect should have experience in AI and machine learning systems. The role encompasses analyzing and proposing architectures for data-related projects, managing data and analytics platforms, and ensuring data interoperability across Stanford Health Care and external entities. The candidate should be well-versed in data standards, regulations, and the privacy and security implications inherent in a regulated industry. In this position, the Data Architect will influence the information strategy by partnering with business unit leadership to rationalize the information value chain, thereby providing strategic recommendations to maximize the value of information assets. The role also involves fostering value creation through the organization’s data assets and the external data ecosystem, enabling business outcomes through analytics, data governance, and enterprise information policy. The Architect will assess the benefits and risks of information, enhance decision-making processes, and enable effective data and analytics governance. Furthermore, the role includes conducting business information modeling, managing risk through data classifications, and ensuring that the architecture aligns with enterprise strategies and business outcomes. The Architect will also work closely with the Chief Information Security Officer to secure data and analytic assets, and aid in improving enterprise information management performance through various information management components.

Responsibilities

• Influence information strategy by partnering with business unit leadership.
• Maximize value derived from data and analytics through data exploitation and enabling business outcomes.
• Assess the benefits and risks of information using business capability models.
• Enhance decision making by providing a future-state view of the information landscape.
• Enable effective data and analytics governance by defining actions and circumstances for information access.
• Conduct business information modeling, including conceptual models and relational database designs.
• Manage risk by defining data classifications and zoning for information assets.
• Enable enterprise information management to prioritize and execute data initiatives.
• Secure data and analytic assets by analyzing security requirements and solutions.
• Improve EIM performance through master data management, metadata management, and related components.

Requirements

• Bachelor's Degree in Computer and Information Science required.
• Master's Degree in Computer and Information Science preferred.
• A minimum of 12+ years of experience in IT, primarily in information system design.
• At least 5 years as a Data Architect with progressively increasing responsibility.
• In-depth experience in designing and implementing information solutions.
• Experience in architecture practice, tools, and methodologies.
• Demonstrated ability to work well with others and exhibit leadership.
• Excellent communication and collaboration skills with technical and business stakeholders.
• Ability to translate information architecture contributions into business outcomes.
• Organizationally savvy with a good understanding of the enterprise's political climate.
• Ability to quickly comprehend new technologies and their functions.

Nice-to-haves

• Experience in healthcare data management and analytics.
• Familiarity with AI and machine learning systems.
• Knowledge of data standards and regulations in a healthcare context.

Benefits

• Competitive salary based on experience and qualifications.
• Opportunities for professional development and continuing education.
• Comprehensive health insurance coverage.
• Flexible work arrangements including hybrid remote options.
• Supportive work environment focused on patient care and employee well-being.