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Senior Director of Data & AI Governance

Job in Norwell, Plymouth County, Massachusetts, 02061, USA
Listing for: Clean Harbors
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Data Science Manager, AI Engineer
Job Description & How to Apply Below

Senior Director of Data & AI Governance

This role will lead the strategic development and execution of enterprise-wide data and AI governance initiatives. The ideal candidate will be a visionary leader with deep expertise in data strategy, governance, advanced analytics, and responsible AI, capable of driving business value through data-driven and AI-enabled decision‑making.

Base pay range

$/yr - $/yr

Why work for Clean Harbors?
  • Health and Safety is our #1 priority and we live it 3-6-5!
  • Competitive wages
  • Comprehensive health benefits coverage after 30 days of full-time employment
  • Group 401K with company matching component
  • Own part of Clean Harbors with our Employee Stock Purchase Plan (U.S. Only)
  • Generous paid time off, company paid training and tuition reimbursement
  • Positive and safe work environments
  • Opportunities for growth and development for all the stages of your career
Responsibilities
Data Governance Leadership
  • Develop and implement a comprehensive data governance framework aligned with business objectives.
  • Define and enforce data policies, standards, and stewardship practices across business units.
  • Establish data ownership and accountability models between IT and business stakeholders.
  • Lead data quality initiatives and ensure compliance with regulatory requirements for Environment sustainability Organization.
Analytics Strategy & Execution
  • Oversee the design, development and deployment of enterprise analytics platforms and Reporting tools.
  • Drive the adoption of advanced analytics, including predictive modeling, machine learning, and AI.
  • Partner with business leaders to identify opportunities for data-driven innovation and operational efficiency.
  • Ensure analytics solutions are scalable, secure, and aligned with enterprise architecture.
AI Governance
  • Develop and implement an AI governance framework to ensure ethical, transparent, and responsible use of AI technologies.
  • Collaborate with legal, compliance, and risk teams to align AI initiatives with regulatory and ethical standards.
  • Establish policies for model lifecycle management, including documentation, monitoring, and explainability.
  • Promote fairness, accountability, and transparency in AI systems, and mitigate risks such as bias and unintended consequences.
  • Lead cross‑functional efforts to educate stakeholders on responsible AI practices and governance.
Data Security
  • Partner with cybersecurity and IT teams to ensure data protection policies are integrated into governance and analytics workflows.
  • Define and enforce data classification, access control, and encryption standards across the data lifecycle.
  • Monitor and respond to data‑related security risks, breaches, and vulnerabilities.
  • Promote a culture of data security awareness and accountability across the organization.
Team & Stakeholder Management
  • Build and lead a high‑performing team of data governance professionals, data scientists, and analysts.
  • Foster a data‑ and AI‑driven culture across the organization through education and engagement.
  • Collaborate with IT, legal, compliance, and business units to align data and AI initiatives with strategic goals.
Technology & Tools
  • Evaluate and implement data governance and analytics technologies (e.g., Microsoft Purview, Collibra, Informatica).
  • Ensure integration of metadata management, data cataloging, and lineage tracking tools.
  • Monitor emerging trends and technologies to continuously evolve the data and AI strategy.
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Information Systems, Business, or related field.
  • 10+ years of experience in data governance, analytics, or data management roles.
  • Proven leadership experience in building and scaling enterprise data and AI programs.
  • Strong understanding of data privacy regulations and AI ethics frameworks.
  • Expertise in data governance tools and enterprise analytics platforms.
  • Excellent communication, stakeholder management, and strategic thinking skills.
Preferred Skills
  • Experience in sustainability, manufacturing, or regulated industries.
  • Familiarity with cloud data platforms (e.g., Azure, AWS, GCP).
  • Certification in data governance, Cybersecurity or AI ethics (e.g., CDMP, DAMA, Responsible AI).
Strategic Leadership & Vision
  • Abil…
Position Requirements
10+ Years work experience
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