Principal Transportation Data and AI Architect
About The Position
Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi-national corporation, a small start-up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply. We are currently seeking a Principal Transportation Data & AI Architect. This position is a full-time opportunity located in the DC Metro region (Hybrid). Within Battelle's Infrastructure Safety & Security (ISS) Division, we support federal, state, and commercial clients in advancing safe, secure, and resilient transportation systems. The Principal Transportation Data & AI Architect will help shape the future of digital transportation by enabling trusted data sharing, scalable analytics, and AI-driven operations across increasingly connected transportation ecosystems. This role serves as a key contributor to advancing data-informed decision-making, operational performance, and the deployment of next-generation digital infrastructure. The selected candidate will combine expertise in data architecture, governance, analytics, and artificial intelligence to transform complex transportation data into actionable insights and scalable operational capabilities.
Requirements
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field
- 10+ years of experience in data architecture, data engineering, analytics, AI/ML, or related technical disciplines
- Demonstrated experience managing large, complex datasets and enterprise-scale data environments
- Expertise in data governance, data integration, data quality, and metadata management
- Experience developing and deploying machine learning and AI solutions
- Proficiency with Python, SQL, cloud-based data platforms, and modern analytics technologies
- Strong communication and leadership skills with the ability to engage both technical and non-technical stakeholders
- Willingness to travel as required
- Applicants must have authorization to work in the United States. We are unable to sponsor or take over sponsorship of any employment Visa at this time.
Nice To Haves
- Advanced degree (M.S. or Ph.D.) in a relevant field
- PMP Certification
- Experience with transportation systems, ITS, TSMO, connected vehicle programs, roadway digital infrastructure, or transportation performance management
- Experience implementing federated data architectures and multi-stakeholder data-sharing environments
- Knowledge of Generative AI, large language models, MLOps, and AI governance practices
- Experience supporting federal, state, or regional transportation agencies
Responsibilities
- Developing and overseeing advanced analytics, machine learning, and AI applications that support operational decision-making, automation, and system optimization
- Guiding the implementation of AI-enabled transportation solutions, including predictive analytics, intelligent monitoring, and decision support tools
- Designing and implementing enterprise data architectures supporting transportation operations, planning, and performance management
- Leading the development of roadway data ecosystems that integrate data from infrastructure, vehicles, sensors, operational systems, and external partners
- Designing scalable data platforms, pipelines, and federated architectures that enable data sharing across agencies and stakeholders while maintaining local ownership and control
- Establishing data governance, quality, metadata, security, and stewardship frameworks that promote trusted and interoperable data
- Supporting transportation performance measurement initiatives by developing data strategies, dashboards, and analytical frameworks
- Evaluating emerging technologies and standards related to digital infrastructure, connected transportation systems, and artificial intelligence
- Serving as a trusted advisor to clients, program managers, and senior leadership on data and AI strategy
Benefits
- Compressed work schedule allowing for every other Friday off
- Hybrid work arrangement (60% in-office, 40% remote)
- Paid time off
- Medical, dental, and vision coverage
- Wellness incentives and benefits
- Optional supplemental benefits
- Coverage for partners, gender-affirming care and health support, and family formation support
- 401(k) retirement savings plan with employer contribution (5% regardless of employee contribution, plus matching)
- Tuition assistance
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What This Job Offers
Job Type
Full-time
Career Level
Principal
