Advanced Data & AI Architect; P

LOCATION :

Various / 2 Broadway , New York, NY 10004

9:00 am - 5:30 pm (7.5 hours/day) or as required

This position is eligible for telewor k which is currently 2 days per week . New hires are eligible to apply 30 days after their effective date of hire.

The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation’s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.

The MTA transportation network has a very large system and infrastructure for financial, business, automated train, transportation, power, and physical security. The MTA IT Strategy & Architecture is centrally responsible for providing a full range of Information and Operational Technology services to the MTA agencies and administrative units through its operating and support units. Services are provided on a 7/24/365 basis in support of the MTA organization and its ridership.

The Enterprise Strategy & Architecture (ESA) team, part of the MTA IT Department, is responsible for guiding and aligning technology strategies across the organization. The team drives innovation and operational efficiency, ensuring IT initiatives support individual agency business requirements while advancing the forward-looking objectives of the MTA enterprise. ESA comprises multiple domains, including Enterprise Architecture, Cloud & Platform, Data & AI, Application, and Network Architecture, all working together to deliver integrated and effective technology solutions.

The Advanced Data and AI Architect is responsible for designing and implementing advanced, scalable data and AI solutions that support the MTA’s business operations and strategic decision‑making. This role requires deep expertise in data architecture, machine learning, and cloud technologies, with a strong focus on technical architecture, solution design, and hands‑on development across data engineering, data science, and MLOps domains. This role calls for extensive experience with modern data platforms, cloud ecosystems, and AI/ML frameworks, highly skilled at translating business needs into robust technical solutions, and will actively contribute to both the design and implementation phases in close collaboration with engineering teams.

• Design and implement secure, scalable, and cost‑efficient data, analytics, and AI/ML architectures to support Data and AI initiatives.
• Translate solution requirements into detailed technical designs and implement high‑quality, production‑ready systems.
• Participate in architectural review processes to ensure solutions align with MTA’s enterprise data strategy, technical standards, and best practices.
• Build and maintain data pipelines, analytical data models, and ML workflows using modern cloud‑native technologies.
• Actively contribute to development efforts, coding in Python, PySpark , and related technologies; review, refactor, and optimize code for efficiency in performance, scalability, and maintainability.
• Develop MLOps workflows including CI/CD pipelines, model deployment, model monitoring, and retraining strategies.
• Build and implement data integration frameworks, APIs, and orchestration workflows to support data‑driven AI/ML initiatives.
• Ensure all solution designs comply with data governance policies, data security protocols, and relevant regulatory and compliance requirements.
• Continuously optimize storage, computing, and operational costs across data engineering and AI workloads.
• Work closely with data engineers, data scientists, cloud architects, and business stakeholders to deliver end‑to‑end AI and data solutions that drive business value.
• Collaborate with cross‑functional teams to identify and prioritize AI opportunities that deliver the highest business impact.
• Educate teams and stakeholders on the practical…