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Senior Director of Data & AI Governance
Job in
Norwell, Plymouth County, Massachusetts, 02061, USA
Listed on 2026-01-10
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
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- Abil…
Position Requirements
10+ Years
work experience
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