Director, Enterprise Data & AI Platforms
Listed on 2026-10-17
-
IT/Tech
Data Engineering, AI Engineer (Applied/Software), Information Security & Data Protection, IT Project Manager
An Official website of the Commonwealth of Massachusetts
Job DescriptionJob Description
Description
About MassDOT:The 4,000+ employees of Massachusetts Department of Transportation (MassDOT) take great pride in connecting the Commonwealth’s residents and communities. MassDOT is responsible for developing, implementing, and coordinating transportation policies and projects for the Commonwealth of Massachusetts and to efficiently plan, design, construct, and maintain a safe statewide transportation system which effectively meets the transportation needs of the Commonwealth. Information about MassDOT’s culture and career opportunities can be found /massdot-careers .
MassDOT’s divisions include Highway, Registry of Motor Vehicles, Aeronautics, and Rail & Transit. Headquarters (Planning & Enterprise Services) provides business and administrative support and policy leadership for each of the four (4) divisions.
Position Summary:The Director of Enterprise Data & AI Platforms is a senior leader within the MassDOT Information Technology division, reporting to the Secretariat Chief Information & Technology Officer. This role serves as the technology leader for enterprise data, AI, analytics platforms, and related SAAS platforms.
This leader oversees the end-to-end lifecycle of enterprise AI systems, cloud-based data platforms, and other related Enterprise SAAS Platforms, driving scalable architecture, modern data capabilities, MLOps/LLMOps excellence, responsible AI adoption, and enterprise platform governance across the organization.
The primary work location for this position is 10 Park Plaza, Boston, Massachusetts. The standard work schedule is Monday through Friday, 9:00 AM to 5:00 PM ET. This position follows a hybrid work model, with an expectation of working on‑site a minimum of three days per week and remotely on the remaining days, subject to operational business needs.
Core Responsibilities Strategy & Value Realization- Owns the technology strategy, architecture, and delivery of enterprise AI and data platforms, while partnering with business and Chief Data Office (CDO) on use‑case prioritization and value realization.
- Identify, prioritize, and scale AI use cases tied to measurable outcomes (operational efficiency, service delivery, customer experience).
- Establish KPIs and maturity models to track the impact and value of AI and data investments.
- Lead the architecture, design, and delivery of scalable AI systems, including GenAI, RAG, and agentic AI solutions.
- Establish and operationalize MLOps/LLMOps frameworks for model lifecycle management, performance, and observability.
- Drive a cloud-first platform strategy, enabling reusable, secure, and scalable AI capabilities across the enterprise.
- Monitor emerging technologies (e.g., cloud services, GPUs, AI tooling) and guide platform evolution.
- Lead development of modern cloud data platforms (data lake, warehouse, real-time pipelines on AWS, Snowflake).
- Ensure availability of AI-ready data through robust data pipelines, integration frameworks, and multimodal data support.
- Oversee ETL/ELT processes, real-time data processing, and data observability practices.
- Establish best practices for data architecture, integration, and platform scalability.
- Build and enforce enterprise Data & AI governance frameworks, including data quality, lineage, privacy, and access controls.
- Establish responsible AI practices ensuring transparency, fairness, security, and regulatory compliance.
- Ensure alignment with EOTSS standards and Commonwealth policies.
- Partner with legal, audit, and security teams to ensure adherence to regulatory and risk requirements.
- Establish and govern an…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).