Senior Transportation Data Governance Manager, (Hybrid), Albany, NY

Local candidates only, In-person interview

Short description:

This resource will act as a Expert Data Manager for the client's Technology Program to establish, implement, and oversee the data governance framework for all transportation operations data. This position will ensure that real-time and historical transportation data-including traffic sensor feeds, incident management logs, client's metrics, and spatial data-is high-quality, secure, accessible, and compliant with state and federal standards. This position will bridge the gap between traffic operations, information technology (IT), operational technology (OT), and client Program Management to maximize the value of the agency's data assets and is critical in ensuring the successful planning, execution, and delivery of technology initiatives.

Provide a list of the day-to-day tasks to be performed by the Selected Candidate:

Key Duties and Responsibilities



1. Framework and Policy Development



Establish Governance Framework: Define and implement the TSMO Technology Program data governance strategy, roadmap, and charter in alignment with DOT and OITS data policies.



Policy Creation: Draft, implement, and enforce policies, standards, and procedures for data creation, ingestion, storage, retention, and disposal.
Data Lifecycle Management: Define the lifecycle of real-time streaming data (e.g., sensor data, signal phase, and timing) versus historical archiving requirements.

2. Data Quality, Metadata, and Standards



Data Quality Assurance: Establish data quality metrics, thresholds, and profiling processes. Monitor and audit client data streams to identify and resolve anomalies or latency issues.



Metadata Management: Develop and maintain a comprehensive data catalog and business glossary for client data assets, ensuring clear definitions, lineage, and ownership.



Standardization: Ensure compliance with national and state transportation data standards (e.g., client's, General Transit Feed Specification [GTFS], and spatial data standards).

3. Security, Privacy, and Compliance



Data Privacy: Establish protocols to protect sensitive data



Access Control: Define roles and permissions for data access, ensuring secure sharing protocols with internal divisions, external partners (e.g., MPOs, emergency services), and the public.



Regulatory Compliance: Ensure data practices comply with federal (FHWA), state, and local regulations regarding public records, data security, and reporting.

4. Stakeholder Collaboration and Culture



Data Stewardship Program: Establish and lead a client Data Stewardship Committee, coordinating with data stewards across traffic operations, planning, maintenance, and IT.



Data Sharing Agreements: Draft and manage Memorandums of Understanding (MOUs) and Data Sharing Agreements with third-party data providers (e.g., Waze) and research institutions.



Training and Advocacy: Promote a data-driven culture by providing training and resources on data governance best practices to client business operations staff and engineers.

5. Technology and Integration Support



Tool Selection: Evaluate and recommend data governance, data cataloging, and master data management (MDM) software.



Integration Collaboration: Partner with IT and GIS teams to support the integration of client data into enterprise data warehouses, cloud platforms, and geographic information systems.

Brandon Consulting Associates, Inc. is an EQUAL OPPORTUNITY EMPLOYER and has been in business for 29years.