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.

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:

o   M365 Copilot, Copilot Studio,
Microsoft Foundry, GitHub Copilot

o   Azure Machine Learning, Microsoft
Fabric, Power BI, Oracle Fusion Analytics, Microsoft Purview.

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

o   Azure SQL Database, Azure SQL Managed
Instance, SQL Server, and SSIS

·        
Preferred
knowledge of the following tools:

o   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).

What we do:

Achieve strategic business value by leading and supporting TTX’s Digital Transformation, including cloud solutions, intelligent real-time analytics, machine learning and mobility.  

• Supports daily business operations via systems and data
• Develops and/or provides hardware and software to run business
• Provide maintenance and trouble-shooting for business systems
• Special projects to transform business operations and meet business needs
• Provide Cybersecurity for TTX and its information assets.

TTX Company is a leading provider of railcars and related freight car management services to the North American rail industry. TTX’s pool of railcars is ideal for supporting shippers in the intermodal, automotive, paper & forest, metals, machinery, wind energy and other markets where flatcars, boxcars and gondolas are required. 

TTX’s generous Total Rewards package includes Paid Time Off, Health, Dental and Vision benefits, and 401(k) with company match.  This position participates in Railroad Retirement.

TTX Company is an Equal Employment Opportunity Employer.