AI & Data Analytics Architect

JOB SUMMARY

The AI & Data Analytics Architect role is responsible for designing and guiding the implementation of enterprise-wide AI, data analytics, and data architecture platforms and integrated solutions, primarily in the cloud. As a member of the Solutions Architecture team, this role bridges business strategy and technical execution by translating organizational goals into secure, governed, and scalable data and AI architecture. This role requires producing architectural designs for multiple concurrent efforts, as well as providing implementation teams with guidance on best practices, architectural trade-offs, cost estimates, and technology decisions in collaboration with stakeholders and IT leadership.

RESPONSIBILITIES

• Architect and guide the implementation of enterprise-wide artificial intelligence and data analytics tools and solutions using approved platforms, tools, and services.
• Develop end-to-end architecture solutions, including operational and analytical systems, ensuring alignment with enterprise policies and standards for data governance and security.
• Design end-to-end data pipelines, storage systems, and analytics architectures (batch or real time) using Azure services.
• Design solutions that integrate AI and ML models into data solutions, leveraging Azure Machine Learning, Microsoft Foundry, approved LLM services, and cognitive services for predictive and generative AI use cases.
• Provide solutions that incorporate data security, compliance, and governance frameworks to ensure data reliability, quality, and security.
• Help define enterprise governance and AgentOps patterns for AI and agent solutions, integrating security, Responsible AI guardrails, evaluation, observability, cost controls, and lifecycle management into repeatable, production-ready practices.
• Design data solutions using modern data platform capabilities (e.g. Lakehouse, warehouse, semantic models) leveraging primarily Azure services for unified data and AI governance while balancing existing legacy data warehouse architectures.
• Contribute to the development and adoption of enterprise AI and data architecture patterns, reusable solution templates, and technical standards in collaboration with the AI CoE.
• Design solutions that leverage cloud services for AI tasks, ensuring security, compliance, and cost efficiency.
• Collaborate with senior leaders, users, enterprise architects, solution architects, data analytics team members, software engineers, and other stakeholders to understand requirements; provide effective, timely solutions; and mentor others as needed.
• Work with users and vendors to conduct evaluations of various technologies in support of solution design.
• Evaluate new tooling and solutions to further the organization's AI and data strategy, identifying opportunities to leverage AI to achieve business goals, and developing a roadmap for implementing these solutions.
• Partner with the AI CoE, Enterprise Architecture, and delivery teams to ensure AI and analytics solutions align with established governance processes and enterprise technology strategy.
• Maintain awareness of emerging products, features, and industry trends related to AI, machine learning, and analytics platforms.
• Support technology lifecycle planning and maintain the CMDB as needed.

QUALIFICATIONS

• Bachelor’s degree required.
• 10+ years of professional experience with demonstrated progressive responsibility in database modeling, development, deployment, analytics, and related technologies.
• 4+ years of professional experience with cloud-based data and analytics architectures and implementations preferably Azure.
• 1-2 years of professional experience implementing AI solutions.
• Ability to design, plan, and lead long-term, high-level technological initiatives.
• Exceptional communication skills to bridge the gap between technical teams and non-technical stakeholders.
• Strong proficiency in AI/ML principles, MLOps, data engineering, and cloud platforms, particularly Azure and Oracle.
• Demonstrated deep understanding of the Azure data stack, data handling, ETL processes, and analytics.
• Demonstrated expertise in Azure data and analytics services.
• Demonstrated experience with data security and privacy protection measures.
• Proactively stay informed on new technologies and practices related to AI and data analytics.
• Ability to quickly and effectively evaluate and experiment with new technologies, translate that knowledge into information for others to learn quickly, and make recommendations based on the information at hand.
• Ability to quickly design solutions that meet requirements and provide business value.
• Results-oriented individual with strong problem-solving, influencing, consensus-building, and negotiating skills.
• Knowledge of on-premises, cloud, and hybrid data practices to deliver innovative solutions.
• Knowledge of the following tools:
  • M365 Copilot, Copilot Studio, Microsoft Foundry, GitHub Copilot
  • Azure Machine Learning, Microsoft Fabric, Power BI, Oracle Fusion Analytics, Microsoft Purview.
  • Azure Synapse Analytics, Azure Data Lake Storage (ADLS) Gen2.
  • Azure SQL Database, Azure SQL Managed Instance, SQL Server, and SSIS
• Preferred knowledge of the following tools:
  • Incorta, Azure Cosmos DB, Azure AI Search, WhereScape
• Demonstrated ability to work independently, follow direction, and take initiative.
• Demonstrated strong communication and interpersonal skills.
• Demonstrated ability to collaborate with cross-functional teams and solve complex problems.

PHYSICAL JOB REQUIREMENTS

(The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.)

General office environment. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit (remain stationary within work area) and use hands to finger, handle, or feel and reach. The employee is occasionally required to move about (stand, walk) and reach with hands and arms. The employee must occasionally lift and/or transport up to 50 pounds. Correctable vision required for close, distance, peripheral, and depth perception vision capabilities and the ability to focus (ability to adjust eye to bring an object into sharp focus).

The above job description is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

RESPONSIBILITIES

·Architect

and guide the implementation of enterprise-wide

artificial intelligence and data analytics tools and solutions using

approved platforms, tools, and services.

·Develop end-to-end architecture solutions, including operational

and analytical systems, ensuring alignment with enterprise policies and standards

for data governance and security.

• Design end-to-end data pipelines, storage systems, and

  analytics architectures (batch or real time) using Azure services.

• Design solutions that integrate AI and ML models into

  data solutions, leveraging Azure Machine Learning, Microsoft Foundry, approved

  LLM services, and cognitive services for predictive and generative AI use

  cases.

• Provide solutions that incorporate data security,

  compliance, and governance frameworks to ensure data reliability, quality,

  and security.

• Help define

  enterprise governance and AgentOps patterns for AI and agent solutions,

  integrating security, Responsible AI guardrails, evaluation,

  observability, cost controls, and lifecycle management into repeatable,

  production-ready practices.

• Design data solutions using modern data platform

  capabilities (e.g. Lakehouse, warehouse, semantic models) leveraging

  primarily Azure services for unified data and AI governance while

  balancing existing legacy data warehouse architectures.

• Contribute to the development and adoption of

  enterprise AI and data architecture patterns, reusable solution templates,

  and technical standards in collaboration with the AI CoE.

• Design solutions that leverage cloud services for AI

  tasks, ensuring security, compliance, and cost efficiency.

·Collaborate

with senior leaders, users, enterprise architects, solution architects, data

analytics team members, software engineers, and other stakeholders to

understand requirements; provide effective, timely solutions; and mentor others

as needed.

·Work with users and vendors to conduct evaluations of various

technologies in support of solution design.

·Evaluate new tooling and solutions to further the organization's AI

and data strategy, identifying opportunities to leverage AI to achieve business

goals, and developing a roadmap for implementing these solutions.

·Partner with the AI CoE, Enterprise Architecture, and delivery

teams to ensure AI and analytics solutions align with established governance

processes and enterprise technology strategy.

·Maintain

awareness of emerging products, features, and industry trends related to AI,

machine learning, and analytics platforms.

Support technology

lifecycle planning and maintain the CMDB as needed.

QUALIFICATIONS

·Bachelor’s degree required.

·10+ years of professional experience with demonstrated progressive

responsibility in database modeling, development, deployment, analytics, and

related technologies.

·4+ years of professional experience with cloud-based data and

analytics architectures and implementations preferably Azure.

·1-2

years of professional experience implementing AI solutions.

• Ability to design, plan, and lead long-term, high-level

  technological initiatives.

• Exceptional communication skills to bridge the gap

  between technical teams and non-technical stakeholders.

• Strong proficiency in AI/ML principles, MLOps, data

  engineering, and cloud platforms, particularly Azure and Oracle.

• Demonstrated deep understanding of the Azure data

  stack, data handling, ETL processes, and analytics.

·Demonstrated expertise in Azure data and analytics services.

·Demonstrated experience with data security and privacy protection

measures.

·Proactively

stay informed on new technologies and practices related to AI and data

analytics.

·Ability

to quickly and effectively evaluate and experiment with new technologies,

translate that knowledge into information for others to learn quickly, and make

recommendations based on the information at hand.

·Ability to quickly design solutions that meet requirements and

provide business value.

·Results-oriented individual with strong problem-solving,

influencing, consensus-building, and negotiating skills.

·Knowledge of on-premises, cloud, and hybrid data practices to

deliver innovative solutions.

·Knowledge

of the following tools:

oM365 Copilot, Copilot Studio,

Microsoft Foundry, GitHub Copilot

oAzure Machine Learning, Microsoft

Fabric, Power BI, Oracle Fusion Analytics, Microsoft Purview.

• • Azure Synapse Analytics, Azure Data Lake Storage (ADLS) Gen2.

oAzure SQL Database, Azure SQL Managed

Instance, SQL Server, and SSIS

·Preferred

knowledge of the following tools:

oIncorta, Azure Cosmos DB, Azure AI

Search, WhereScape

·Demonstrated

ability to work independently, follow direction, and take initiative.

·Demonstrated

strong communication and interpersonal skills.

·Demonstrated

ability to collaborate with cross-functional teams and solve complex problems.

PHYSICAL

JOB REQUIREMENTS

(The physical demands and work environment characteristics

described here are representative of those that must be met by an employee to

successfully perform the essential functions of this job. Reasonable

accommodations may be made to enable qualified individuals with disabilities to

perform the essential functions.)

General office environment. While performing the duties of this

job, the employee is regularly required to talk or hear. The employee

frequently is required to sit (remain stationary within work area) and use

hands to finger, handle, or feel and reach. The employee is occasionally

required to move about (stand, walk) and reach with hands and arms. The

employee must occasionally lift and/or transport up to 50 pounds. Correctable

vision required for close, distance, peripheral, and depth perception vision

capabilities and the ability to focus (ability to adjust eye to bring an object

into sharp focus).

The above job

description is intended to describe the general content of and requirements for

the performance of this job. It is not to be construed as an exhaustive

statement of duties, responsibilities, or requirements.