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Clean Harbors · 23 hours ago

Data Governance & AI Architect

Norwell, MA

Full-time

Onsite

Senior Level, Lead/Staff

$82K/yr - $230K/yr

8+ years exp

Clean Harbors is a leading provider of environmental, energy and industrial services throughout the United States. The Data Governance & AI Architect will lead the design and implementation of enterprise-grade data and AI platforms, ensuring they are scalable, secure, governed, and ethically aligned.

CleanTechEnergyIndustrial

Hiring Manager

Heather Bossart

Responsibilities

Design and evolve modern data architectures including data lakehouses, data mesh, and real-time streaming systems

Lead the development of scalable data pipelines and integration frameworks using tools like Databricks, Spark, Airflow, and Kafka

Define data modeling standards and ensure alignment with governance, privacy, and compliance requirements

Optimize data infrastructure for performance, reliability, and cost-efficiency across cloud platforms

Collaborate with data governance teams to embed policies, standards, and controls into data and AI architecture

Ensure data lineage, metadata management, and data quality frameworks are integrated into platform design

Support regulatory compliance and internal governance initiatives

Promote data stewardship and ownership models across business and technical domains

Architect end-to-end AI/ML platforms, including feature stores, model training environments, deployment pipelines, and monitoring systems

Implement MLOps best practices for model lifecycle management, CI/CD, and performance tracking

Ensure AI systems are designed for scalability, explainability, and ethical use

Integrate AI solutions with cloud-native services (e.g., Azure ML, AWS SageMaker, GCP Vertex AI)

Partner with cybersecurity and legal teams to ensure data and AI systems meet security and ethical standards

Implement controls for data access, encryption, and model transparency

Support responsible AI practices including bias detection, fairness, and accountability

Work cross-functionally with analytics, governance, security, and business teams to align architecture with strategic goals

Mentor data engineers and ML engineers, promoting engineering excellence and architectural best practices

Evaluate emerging technologies and trends to inform innovation and investment

Qualification

Data EngineeringAI ArchitectureData GovernanceCloud PlatformsMLOpsBig Data TechnologiesData ModelingStakeholder EngagementStrategic PlanningEthical AI PrinciplesRegulatory ComplianceData StewardshipSecurity StandardsBias DetectionFairnessAccountabilityCommunicationMentoringCollaboration