Executive Director - Data, Analytics & AI

Executive Director Data, Analytics, and AI

The Executive Director Data, Analytics, and AI is responsible for enterprise-wide data, analytics, and artificial intelligence (AI) strategy. This role ensures that data and AI-driven initiatives generate business value, enhance decision-making, and drive innovation. The Executive Director Data, Analytics, and AI leads the transformation of data into strategic assets, ensuring the ethical and responsible use of AI and analytics. Responsibilities include establishing vision, governance, and operational framework for data and AI, fostering a data-driven culture, and evolving technological capabilities to meet enterprise goals.

• Lead the organization's data, analytics, and AI strategy, ensuring alignment with business objectives and measurable outcomes.
• Develop an enterprise operating model that integrates data governance, AI ethics, and analytics-driven insights into business processes.
• Foster data and AI-driven culture by upskilling teams and promoting literacy across the organization.
• Establish governance mechanisms to ensure trust in data assets, AI models, and analytics-driven decision-making.
• Ensure responsible AI use, bias mitigation, and compliance with regulatory requirements in AI applications.
• Partner with C-suite leaders to embed AI and analytics into strategic initiatives and digital transformation efforts.

Minimum Qualifications

Key Responsibilities & Accountabilities

AI and Data Innovation Leadership

Technical and Strategic Expertise

Serve as Enterprise Data and Analytics Leader on

Leadership and Organizational Change Management

Regulatory and Ethical AI Governance

Position Type Information Technology

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Compensation Grade / Pay Type : 115S

Expected Hiring Range : $154,810.00 - $224,473.75

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.