Thecentermemphis
Enterprise Architect - Data and AI - multi level
Thecentermemphis, Frisco, Texas, United States, 75034
Enterprise Architect – Data and AI - multi level
Company:
Federal Express Corporation Category:
Professional Employment Type:
Full Time Worker Sub-Type:
Regular Remote Worker Remote:
Yes Location:
Remote / 1555 US Highway 380, Frisco, TX 75033, United States Description
Lead the long range planning for the structure and interaction of the enterprise's major types/sources of data, information needs, and business processes/strategy. Enterprise Architect – Data and AI Job Profile Summary:
The Enterprise Architect - Data & AI is responsible for designing and implementing scalable data architectures and AI solutions across Azure cloud and on-prem environments. This role focuses on ensuring that data platforms and AI models are integrated seamlessly into the organization’s technology stack, while fostering a culture of reusability, scalability, and innovation. Key Responsibilities: Design and implement data architectures that support the deployment of AI models, ensuring scalability, security, and performance across both Azure cloud and on-prem environments. Drive the integration of AI solutions with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms. Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms. Collaborate with data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes. Foster a product engineering mindset within the data architecture teams. Implement best practices for data governance, security, and compliance. Oversee the integration of DevOps practices into data pipelines and AI solution deployment. Communicate complex technical architectures and AI strategies to senior leadership. Minimum Education:
Bachelor's degree in computer science, engineering, information systems and/or equivalent formal training. Minimum Experience:
Five (5) years equivalent work experience in information technology or engineering environment. Knowledge, Skills, and Abilities:
Ability to apply basic computer concepts, theories, principles and methods to projects, business problems, issues, and/or questions. Strong communication skills. Preferred Qualifications: Pay Transparency:
This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. Pay:
U.S Pay Range: $9,719.19 - $15,090.23 (Monthly) Additional Details:
Application Criteria: Upload a current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM CT on December 23rd, 2024. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Company:
Federal Express Corporation Category:
Professional Employment Type:
Full Time Worker Sub-Type:
Regular Remote Worker Remote:
Yes Location:
Remote / 1555 US Highway 380, Frisco, TX 75033, United States Description
Lead the long range planning for the structure and interaction of the enterprise's major types/sources of data, information needs, and business processes/strategy. Enterprise Architect – Data and AI Job Profile Summary:
The Enterprise Architect - Data & AI is responsible for designing and implementing scalable data architectures and AI solutions across Azure cloud and on-prem environments. This role focuses on ensuring that data platforms and AI models are integrated seamlessly into the organization’s technology stack, while fostering a culture of reusability, scalability, and innovation. Key Responsibilities: Design and implement data architectures that support the deployment of AI models, ensuring scalability, security, and performance across both Azure cloud and on-prem environments. Drive the integration of AI solutions with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms. Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms. Collaborate with data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes. Foster a product engineering mindset within the data architecture teams. Implement best practices for data governance, security, and compliance. Oversee the integration of DevOps practices into data pipelines and AI solution deployment. Communicate complex technical architectures and AI strategies to senior leadership. Minimum Education:
Bachelor's degree in computer science, engineering, information systems and/or equivalent formal training. Minimum Experience:
Five (5) years equivalent work experience in information technology or engineering environment. Knowledge, Skills, and Abilities:
Ability to apply basic computer concepts, theories, principles and methods to projects, business problems, issues, and/or questions. Strong communication skills. Preferred Qualifications: Pay Transparency:
This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. Pay:
U.S Pay Range: $9,719.19 - $15,090.23 (Monthly) Additional Details:
Application Criteria: Upload a current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM CT on December 23rd, 2024. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr