Senior Director of Data & AI Governance

Clean Harbors•Norwell, MA

7h•Onsite

About The Position

The Senior Director of Data & AI Governance will lead the strategic development and execution of enterprise-wide data and AI governance initiatives. This role is responsible for establishing policies, standards, and frameworks that ensure data and AI assets are managed responsibly, securely, and effectively across the organization. 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.

Requirements

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.

Nice To Haves

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).

Responsibilities

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.