Enterprise Architecture, Technology & Engineering Fellow na Metropolitan Transportation Authority
Metropolitan Transportation Authority · New York, Estados Unidos Da América · Onsite
- Escritório em New York
Description
- Support Abacus Modeling and Scripting - Assist in developing and maintaining scripts in Abacus (VBScript, Python, or JavaScript) to automate modeling, diagram generation, and data imports/exports.
- Contribute to Data, AI/ML initiatives – Drive the modernization of MTA’s Data, ML, and AI services, to enhance operational efficiency, enable data-driven decision-making, and maximize business value.
- Research Data and AI Policies and Industry Regulations – Stay current on Data and AI policy developments and industry regulations, contributing to the creation of governance frameworks to ensure responsible practices within MTA.
- Monitor Technologies and Regulatory Trends – Track technology advancements as well as changes in federal and state regulations, providing actionable insights to inform MTA’s IT strategy.
- Assist in Data Validation and Policy Development – Support data validation efforts, review processes, and contribute to the development of policies, ensuring accuracy and compliance across multiple initiatives.
- Provide Research and Administrative Support – Handle foundational research tasks and support key activities to enable high-priority projects.
- Foster Talent Development and Efficiency – The intern will enhance workflow efficiency, free up resources, and contribute to the development of future talent for the growing needs in Data and AI governance by taking on research, analysis, and documentation tasks.
- The intern will help to create processes and technology solutions that define, uphold, and communicate MTA IT’s data democratization vision, encompassing the principles, governance and management that support business strategies and drive technology innovation in Artificial Intelligence (AI) and Machine Learning (ML).
- Researching and drafting policies for research data and AI.
- Participate in modeling, diagram generation and data imports/exports.
- Track changes in technology regulation at the state and federal levels.
- Proficiency in Microsoft Office Suite is a must.
- The candidate should possess organizational, analytical and communication skills.
- The candidate should be able to work well under pressure and prioritize tasks effectively.
- The candidate should have a keen eye for detail and be able to work independently while being an active team player.
- Matriculated in a graduate program in good standing with at least 2.8 GPA
- Major(s) Preferred: Computer Science, Information Technology, System Engineering, Technology Architecture, Human-Performance Engineering, Physics, Statistics, Computational, Applied Mathematics, Data Science or related field.