Transit Data Standards Manager

Ryan Mahoney

Ryan Mahoney

Director of Product, FirstWho

“Hiring for this role is tough because you need someone who knows the tech but can also handle people diplomatically. They have to enforce data quality rules without upsetting the vendors supplying the feed. They need to stick to the specification while listening when operators say the rules don't work with their legacy systems. Most candidates write great documentation but panic when a partner threatens to walk away over a validation error. The real test is holding the line on standards while keeping the integration moving, which separates the theorists from the people who actually ship reliable public data.”

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Competency Questions

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Transit Data Standards & Operations

Encompasses the management of transit data lifecycles at the implementation level, including quality assurance, integration configuration, governance execution, compliance procedures, and operational coordination for specific standard modules.

Data Quality Assurance & Validation

Develops validation rules and automates quality checks for routine data updates and feeds.

Interview round: Hiring Manager Technical Deep Dive

How do you approach reviewing a new data source?

Positive indicators

  • Mentions automated validation
  • Describes stakeholder review
  • Notes documentation requirements

Negative indicators

  • Accepts data without testing
  • No schema checks
  • Ignores integration needs

Attitude Questions

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Active Listening

The disciplined cognitive and behavioral practice of fully concentrating on, understanding, and responding to stakeholder communications to ensure data standards align with technical realities, operational constraints, and human factors without premature judgment or solutioning.

Interview round: Cross-Functional Stakeholder Collaboration

How do you approach a meeting where multiple parties have conflicting interpretations of a data specification?

Positive indicators

  • Plans to let each party speak uninterrupted
  • Mentions summarizing each viewpoint
  • Focuses on understanding before solving

Negative indicators

  • Immediately dictates the correct interpretation
  • Sides with the loudest voice in the room
  • Dismisses conflicting views as errors

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Transit Data Standards & Operations

5 competencies

CompetencyJuniorMidSeniorPrincipal
Data Quality Assurance & Validation

Executes predefined validation scripts and reports data quality errors to senior team members.

Develops validation rules and automates quality checks for routine data updates and feeds.

Establishes data quality metrics and leads root cause analysis for systemic data integrity issues across the standards portfolio.

Defines organizational data quality standards and integrates quality metrics into business performance goals across the mobility ecosystem.

Real-Time Data Pipeline Management

Monitors data feed health and troubleshoots basic connectivity issues using established runbooks.

Configures pipeline parameters and optimizes data flow latency for real-time passenger information systems.

Architects scalable data pipeline solutions and implements redundancy for critical real-time feeds to ensure system reliability.

Sets strategic direction for real-time data infrastructure and evaluates emerging transmission technologies for future mobility frameworks.

Strategic Operations & Regulatory Compliance

Tracks compliance tasks and assists in preparing reports for regulatory bodies and internal stakeholders.

Implements operational procedures to meet compliance standards and supports strategic planning initiatives.

Leads compliance audits and integrates regulatory requirements into operational workflows and data policies at the organizational level.

Drives organizational strategy for mobility integration and represents the organization in policy discussions with government bodies and industry consortiums.

System Integration & Interoperability

Supports integration testing and documents interface specifications for internal systems.

Configures API gateways and manages authentication credentials for third-party data exchanges.

Designs integration architectures ensuring interoperability across diverse vendor systems and platforms for cross-sector data exchange.

Negotiates data sharing agreements and defines interoperability standards for regional mobility ecosystems and multi-modal convergence.

Transit Data Standards Governance

Assists in documenting data standards and validates datasets against existing schemas under supervision.

Independently manages standard versioning and ensures team compliance with data specification requirements.

Designs governance frameworks for data standards and leads cross-functional alignment on specification changes across the organization and partner agencies.

Defines organizational data strategy and influences external industry standards bodies and partnerships to establish global mobility data norms.