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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director of Data & AI Governance - **Company:** Clean Harbors, Inc. - **Location:** Norwell, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cyber Security, Information Systems, Data Governance, Data Security, Data Intelligence, Machine Learning, Meta-Data Management, Cloud Services, Enterprise Data Management, Google Cloud, Data Classification, Data Strategy, Data Lineage, Collibra, Data Analytics, Data Management, Tools for Reporting - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8bd9d45025062652 ## About the Role * 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 * Ability to set a clear vision for enterprise-wide data and AI governance. * Skilled at aligning governance initiatives with business objectives and driving organizational change. * Experience in building and leading high-performing teams and fostering a data-driven culture. Technical Expertise in Data & AI Governance * Deep knowledge of data governance frameworks, policies, and stewardship practices. * Expertise in advanced analytics, AI, and machine learning, including ethical and responsible AI use. * Familiarity with data governance and analytics technologies (e.g., Microsoft Purview, Collibra, Informatica). Program & Project Management * Proven capability to design, implement, and scale complex data and AI programs across the enterprise. * Strong skills in managing cross-functional projects, ensuring timely delivery, and measuring impact. * Ability to oversee model lifecycle management, data quality initiatives, and compliance programs. Stakeholder Engagement & Communication * Excellent communication and stakeholder management skills. * Ability to collaborate with IT, legal, compliance, business units, and executive leadership. * Skilled at educating and influencing diverse audiences on data and AI governance best practices. Risk Management & Regulatory Compliance * Strong understanding of data privacy regulations, cybersecurity, and AI ethics frameworks. * Ability to identify, assess, and mitigate risks related to data security, privacy, and AI bias. * Experience in ensuring compliance with regulatory requirements and promoting accountability. ## Description * 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.