Director, Data & AI Product

Railinc’s Director of Data, Analytics & AI product will act as the Chief Data Officer (CDO) of the organization. The CDO is responsible for defining and executing the enterprise data strategy for Railinc, a Data as a Service (DaaS) and Software as a Service (SaaS) company serving the North American freight rail industry. The role owns the complete data landscape of the company—how data is collected, organized, governed, analyzed, operationalized, and commercialized. Railinc products improve safety, efficiency, and customer satisfaction across the freight rail industry.

The CDO will leverage the company’s extensive freight rail and network data assets to drive both operational excellence and commercial growth, expanding the company’s product portfolio and increasing revenue through data‑driven solutions. CDO will use Railinc’s vast database of freight rail data applying machine learning, artificial intelligence and general information technology tools and techniques. The role requires balanced expertise in AI/ML, advanced analytics, and conventional information technology, with the judgment to apply appropriately based on business value, risk, and maturity.

This position works closely with customer and internal senior IT, product, and business leaders, as well as project managers and software engineers, to ensure data strategy is used efficiently and productively in design, product delivery, and customer outcomes.

The position will be Director level reporting to the Chief Technology Officer and Vice President of Information Technology.

Job Accountability/Responsibilities

Essential Functions

• Own and execute the enterprise data strategy aligned with company growth, product roadmaps, and customer commitments
• Maintain a comprehensive understanding of all enterprise data assets
• Define how data should be structured, integrated, and governed to support mission‑critical rail operations and DaaS and SaaS products serving other rail interested parties
• Establish clear frameworks for selecting AI/ML, optimization techniques, or traditional analytics based on effectiveness and reliability
• Lead the strategic use of freight rail network data to drive improvements in: safety and risk reduction; network efficiency and performance; customer service reliability and satisfaction
• Ensure network data is trustworthy, explainable, and scalable for enterprise rail customers
• Translate complex operational data into actionable insights and product capabilities
• Own enterprise data architecture, including ingestion, integration, storage, APIs, and data services
• Establish standards for data models, schemas, interfaces, and domain ownership
• Implement practical data governance, quality management, lineage, and stewardship
• Partner with Security and Legal to ensure compliance with customer contracts, privacy requirements, and access controls
• Lead analytics, data science, and AI/ML initiatives supporting forecasting, optimization, decision support, and automation
• Ensure AI/ML solutions are production‑ready, governed, explainable, and monitored
• Apply engineering discipline to analytics and data science, including testing, versioning, and lifecycle management
• Partner with Product Management, Sales, and IT leaders to expand the company’s data‑driven product portfolio
• Identify opportunities to monetize and/or create customer value from the company’s freight rail data through new analytics‑based features, data products, and services
• Partner with software engineers to ensure data requirements are engineered into platforms and products
• Act as a translator between business needs and technical execution
• Set priorities, standards, and performance expectations for a team of at least eight (8) personnel
• Develop talent and mentor technical and analytical leaders
• Ensure effective collaboration across data engineering, data science, analytics, and QA

Key Measures

• A clear, enterprise‑wide data strategy aligned to real freight rail operating needs
• Data platforms and practices that are scalable, trusted, and audit‑ready
• Measurable improvements in safety, efficiency, and customer satisfaction
• Expansion of data‑driven products and increased commercial revenue
• A high‑performing, accountable data organization embedded across Railinc

Knowledge, Skills, abilities/minimum requirements/competencies

• Achieves and maintains a comprehensive, end‑to‑end understanding of the company’s data assets, including network, operational, customer, and product data
• Establishes clear ownership, standards, and accountability for data across the enterprise
• Builds, leads, and develops a multidisciplinary team of engineers, data scientists, analysts, and QA professionals
• Simplifies and rationalizes a complex data landscape so that leaders, engineers, and customers trust and rely on the data
• Successfully leverages freight rail network data to drive measurable improvements in: safety and risk reduction, network efficiency and performance, service reliability and customer satisfaction; revenue growth and product portfolio growth for Railinc
• Ensures analytical insights are actionable, not academic, and embedded into operational workflows and DaaS and SaaS products
• Applies AI/ML, optimization, and advanced analytics only where they produce clear value, while appropriately using deterministic or conventional analytic approaches when they are more effective
• Ensures AI solutions are explainable, governed, production‑ready, and appropriate for enterprise freight rail customers
• Ensures data systems meet enterprise expectations for resiliency, performance, and auditability
• Ensures data initiatives are aligned with enterprise priorities and delivery timelines
• Establishes clear expectations, delivery standards, and accountability
• Balances hands‑on technical credibility with executive‑level leadership
• Implements practical governance that enables speed while protecting customer and company interests
• Ensures data quality, lineage, security, and compliance are enterprise‑ready
• Anticipates and manages data risk in safety‑critical and customer‑facing use cases

Education, experience, certification/training

• Bachelor’s Degree in Computer Science, Information Technology or similar relevant technical concentration required
• Minimum of 10 years’ experience in the information technology arena with at least 5 years of recent experience as a mid to senior manager focused on data architecture and data management
• Familiarity with agile methodologies (or similar Development Methodologies) required
• Possess a natural curiosity to experiment with new technologies and systems
• Strong leadership and people management skills required
• Possess a strong commitment and dedication to accomplish established objectives
• Requires excellent communication and interpersonal skills
• Transportation industry experience a plus

Values

• Results: We deliver on our promises to create value for the freight rail industry through talented people, good ideas, business leadership and great technology.
• Collaboration: We collaborate with our teams and our customers to get the job done, respecting individual ideas and contributions, and moving forward in pursuit of shared goals.
• Service: We serve the changing needs of our customers and our industry to enhance the value they bring to our community, the environment, and our economy.

Physical Requirements

Sedentary work: Assignment involves sitting at workstation (desk) most of the time (up to 8 hours) with only occasional walking and/or standing.

Keyboarding: Primarily using fingers for typing.

Talking: Expressing or communicating verbally through use of spoken words (accurately conveying detailed or important spoken instructions to others).

Hearing: Ability to receive detailed information through oral communication and to make discriminations in sound.

Visual: Through close visual acuity, required to perform activities such as: preparing and analyzing data and figures; transcribing; viewing computer terminal; extensive reading (with or without correction).

Environment: Because the requirements of this position require frequent, often informal collaboration with other Railinc colleagues and external stakeholders, and to maximize the development of the skills and responsibilities essential for this position, Railinc expects that the work required of this role be performed predominantly in the office consistent with Railinc’s in-the-office work policies, as communicated by Human Resources and/or Senior Management.

Any individual variations on in-the-office work policies will be reviewed by Human Resources on a case-by-case basis. As work is performed predominantly within an office setting, there is no substantial exposure to adverse environmental conditions (i.e., extreme heat, cold, noise, etc.)

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work to be performed. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The company reserves the right to change, modify and/or delete aspects of this position as needed at any time.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, age, religion, gender, national origin, disability, veteran status, or other legally protected status.