Director, Enterprise Data & AI Platforms

About Commonwealth of Massachusetts MassDEP serves the Commonwealth by protecting natural resource areas that involve water, land and air. MassDEP is responsible for ensuring clean air and water, safe management and recycling of solid and hazardous wastes, timely cleanup of hazardous waste sites and spills, and the preservation of wetlands and coastal resources. MassDEP enforces environmental laws, provides technical assistance to cities and towns, issues permits and licenses for activities near sensitive resources, inspects contaminated site cleanups, and partners with other federal and state agencies, municipal officials and environmental stakeholders.

Commonwealth of Massachusetts

Environmental ProtectionHuman HealthImproving the EnvironmentCircular EconomyWastePollutionRecyclingAir QualityWater Qualityand Clean Energy

C

mass.gov/orgs/massachusetts-department-of-environmental-protection

501-1,000 employees

Government Administration

Boston, Massachusetts

Government Agency

7.6k LinkedIn followers

• 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.
• 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 enterprise AI portfolio and delivery model balancing innovation with standardization and control.
• Lead organizational change management efforts to enable adoption of AI solutions at scale.
• Promote AI literacy and workforce development to drive effective and responsible use of AI technologies.
• Enable cross-functional collaboration to embed AI into business processes and decision-making.
• Lead multiple engineering and platform teams responsible for enterprise data, AI, and analytics.
• Partners across IT, business units, data office, security, HR, and operations to co-design and deliver mission-critical solutions.
• Provide executive-level communication and thought leadership on AI and data strategy.
• Support resilience planning, including disaster recovery and continuity of operations for AI and data platforms.

Required

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, Artificial Intelligence, or a related field preferred, but not required.
• Professional certifications in cloud computing, data engineering, and artificial intelligence, including AWS certifications, Snowflake certifications, and AI/ML-related certifications, are preferred but not required.
• A finalist for this position must be able to pass a comprehensive background check including a criminal record check, Department of Revenue (DOR) check, and employment references.
• This requisition will remain open until filled; however, first consideration will be given to those applicants that apply within the first 14 days.
• Current MassDOT employees should use their internal MassCareers account to apply.
• All job applications must be submitted online through MassCareers to be considered.
• Please provide a complete, accurate and current resume / application for MassDOT to review in order to determine if your submitted materials meet the minimum entrance requirements for the position.
• Applicants must have at least (A) six (6) years of full-time or, equivalent part-time, professional, administrative, supervisory, or managerial experience in business administration, business management, public administration, public management, clinical administration or clinical management of which (B) at least two (2) years must have been in a supervisory or managerial capacity or (C) any equivalent combination of the required experience and substitutions below.
• I. A certificate in a relevant or related field may be substituted for one (1) year of the required (A) experience.
• II. A Bachelor's degree in a related field may be substituted for two (2) years of the required (A) experience.
• III. A Graduate degree in a related field may be substituted for three (3) years of the required (A) experience.
• IV. A Doctorate degree in a related field may be substituted for four (4) years of the required (A) experience.
• For questions regarding the job posting, please email the MassDOT Talent Acquisition Team at talentacquisition@dot.state.ma.us.
• For general questions regarding MassDOT, call the Human Resources Service Center at 857‐368‐4722.

Preferred

• At least 10 years of progressive experience in IT, including data engineering, cloud platforms, and AI/ML delivery, with demonstrated success leading large-scale transformation initiatives.
• Proven senior leadership experience managing large, cross-functional data and AI engineering teams.
• Proven ability to manage enterprise technology portfolios, prioritize AI and data investments, establish performance metrics, and demonstrate measurable business value.
• Demonstrated experience developing and executing enterprise technology strategies, architecture roadmaps, and scalable platform solutions aligned with organizational objectives.
• Strong knowledge of MLOps and LLMOps frameworks, including model deployment, monitoring, performance optimization, and lifecycle management in production environments.
• Demonstrated success translating AI and data capabilities into measurable business outcomes particularly within regulated, complex, or mission-critical environments.
• Exceptional executive communication, stakeholder management, and organizational change leadership skills, with the ability to influence decision-making and drive alignment across diverse business and technical stakeholders.
• Deep expertise in modern enterprise data architectures, cloud platforms, AI/ML technologies, and Software-as-a-Service (SaaS) solutions, including platforms such as AWS, Snowflake, and ServiceNow.
• Strong understanding of enterprise data governance, data privacy and security regulations, and responsible AI principles and frameworks with demonstrated ability to support compliance, risk management, and ethical technology adoption.

• When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future.
• Want the specifics? Explore our Employee Benefits and Rewards!
• An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.