Director Information & Analatics

Director, Information & Analytics
Office of Innovation / Long Island Rail Road (LIRR) - Queens
Salary Range: $136,505 - $170,631
Position Classification: Non‑Safety Sensitive
Union Affiliation: Non‑Union
SUMMARY

Lead the implementation of the Enterprise Asset Management program, focusing on data architecture, analytics, and operational integration to support MTA and LIRR goals.
Develop a deep understanding of organizational structures, business processes, and enterprise systems to design integrated, analytics‑driven solutions.
Oversee agile technical teams and collaborate with IT and data engineering to build, configure, and integrate asset management applications aligned with enterprise data and governance standards. Drive development of dashboards, Power BI tools, and advanced analytics while engaging stakeholders and evaluating emerging technologies to support future needs.
Support operations, guide change management, and mentor team members to ensure continuity and technical excellence.
Drive growth and competitiveness by identifying, developing, and implementing new ideas, technologies, or processes.

DUTIES AND RESPONSIBILITIES
Enterprise Leadership & Vision

Establish the enterprise‑wide vision for data, analytics, and information management to support operational, financial, and strategic decision‑making.
Serve as a change agent, driving the organization away from siloed legacy practices toward integrated, enterprise‑centric solutions.
Oversee the implementation of the Enterprise Asset Management (EAM) program with a strong focus on data architecture, analytics, and operational integration.
Ensure asset management applications are designed and configured to maximize data quality, analytic capability, and business insight in support of MTA and LIRR goals.

Data Governance & Information Management

Develop and enforce procedures for the capture, maintenance, quality, and governance of asset and operational data across the organization.
Ensure adoption of standardized naming conventions, asset hierarchies, information requirements, and data stewardship models aligned with existing LIRR policies.
Develop deep understanding of the organization’s structure, operating departments, business processes, and supporting systems to design optimal solutions.

Analytics Strategy & Predictive Modeling

Direct advanced analytics, including predictive and prescriptive modeling, to proactively influence operational strategies such as maintenance, safety, asset reliability, and capacity planning.
Integrate disparate data sources and oversee development of enterprise‑level analytics environments.

Program & Project Oversight

Manage a complex portfolio of EAM, GIS, operational analytics, and data strategy initiatives, ensuring alignment with organizational standards and IT architecture.
Oversee project managers and data science staff responsible for delivering analytics capabilities and innovation pilots.
Lead a technical team using agile methodologies to plan, design, develop, configure, test and implement solutions in MTA IT environments.

Technology & Innovation Leadership

Evaluate and guide adoption of emerging technologies including AI/ML, cloud platforms, integration frameworks, and advanced analytical tools to support digital transformation objectives.
Ensure systems and data environments are scalable, secure, and architecturally sound, especially when interfacing with GIS, EAM, and enterprise data platforms.
Facilitate stakeholder engagement to identify improvement opportunities, assess emerging technologies, and align enhancements with organizational goals.

Problem Solving & Decision Support

Rapidly learn operational constraints, business requirements, and legacy systems across all parts of LIRR to solve complex, multi‑disciplinary problems.
Translate complex analytical findings into clear, actionable recommendations for senior leadership.
Coordinate with Operations, Engineering, IT, Finance, and other departments to ensure analytics solutions align with business needs and enterprise architecture.
Liaison with approximately 30+ cross‑departmental stakeholders for data, analysis, and system integration initiatives.
Communicate project outcomes, system changes, and strategic initiatives through presentations, newsletters, and participation in HQ change management and strategy planning events.
Support departmental administration, procurement, budgeting, risk management, and staffing plans. Train and mentor staff, developing succession and transition plans.
Support change management activities by championing strategic communication, engagement, and adoption of new systems and processes across departments.

REQUIRED EDUCATION AND EXPERIENCE

Bachelor’s degree in engineering, Computer Science, Data Science, Planning, Business Administration, or related field. Demonstrated directly related experience may be considered in lieu of a degree and is subject to approval.
Proficiency in SQL is critical for database querying. Python or R is required for data cleaning, manipulation, and analysis.
Strong foundation in statistics, mathematical modeling, and algorithms.
Strong understanding of document management systems and their integration with Asset Information Systems.
Understanding of computer systems characteristics, features, and integration capabilities, focusing on asset management systems.
Strong management skills with the ability to effectively communicate ideas, concepts, and facts, and identify priorities and organize activities accordingly.
Self‑motivated, capable of overseeing and motivating others, influencing decisions, identifying problems and recommending solutions.
Strong project management skills.
Ability to conceptualize an idea or thought process and develop it into a procedure.
Strong understanding of tracking and evaluating maintenance systems data that directly impacts infrastructure safety and reliability.
Understanding of data engineering tools and techniques.
Strong background in dashboard building platforms like Tableau, Power BI, plotly, ArcGIS Insights, Leaflet, and communicating insights.
Ability to work independently as well as in groups to achieve defined goals and objectives.
Strong human relations, communication (both written and oral), and interpersonal skills.
May need to work outside normal work hours (i.e., evenings and weekends).
Extensive experience in strategic planning and execution, business planning, data and statistical analysis, and data reporting.
Experience driving growth and competitiveness by identifying, developing, and implementing new ideas, technologies, or processes.
Experience managing and developing professional staff with accountability towards a budget.
Experience building analytics tools that utilize the data to provide actionable insights into operational efficiency and other key business performance metrics.

Preferred Qualifications

Master’s degree in Arts/Sciences (MA/MS) or in Engineering, Computer Science, Data Science, Planning, Business Administration, or related field.
Understanding of MTA Capital Program guidelines and requirements.
Knowledge of geospatial technologies and analysis.
Knowledge of Artificial Intelligence and Machine Learning.
Knowledge of asset management information systems best practices and spatially enabled mobile asset management technologies, including PAS55, ISO 55000, and FTA Asset Management Guide.
Experience in the transportation industry, specifically exposure to railroad operations, is preferred.

EQUAL EMPLOYMENT OPPORTUNITY/ADA DISCLAIMER
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.
If you require reasonable accommodation for a medical condition or disability to participate in the job application or interview process, please notify your MTA representative once you have been contacted regarding the role.
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