Executive Director - Data, Analytics & AI

About the Opportunity

This job description isintended to describe the general nature and level of work being performed by people assigned to this isnot intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

JOB SUMMARY

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 organizations 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.

This role is hybrid and in the office a minimum of three days a week to facilitate collaboration and -office presence is an essential part of our on-campus culture and allows for engaging directly with staff and students sharing ideas and contributing to a dynamic work environment. Being on-site allows for stronger connections more effective problem-solving and enhanced team synergy all of which are key to achieving our collective goals and driving success.

*Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role now or in the future

MINIMUM QUALIFICATIONS

• Bachelors or Masters degree in data science AI computer science business administration or a related field.
• 15 years of experience in data analytics AI strategy or related leadership roles.
• Proven track record of integrating AI and analytics into business processes.
• Deep understanding of AI ethics compliance and governance frameworks.
• Strong executive presence with experience engaging C-level leaders and boards.

KEY RESPONSIBILITIES & ACCOUNTABILITIES

AI and Data Innovation Leadership

• Spearhead AI-driven business models products and services to enhance competitive advantage and profitability.
• Oversee AI research and development ensuring the organization stays at the forefront of machine learning predictive analytics and natural language processing. Identify and integrate new data sources AI models and advanced analytics to unlock business value.
• Establish centralized AI model governance and monitoring to ensure accuracy transparency and compliance.
• Develop partnerships with technology providers research institutions and AI-driven startups to accelerate innovation.
• Compile and report impact and progress metrics including: revenue growth cost savings operational efficiencies customer experience improvements and regulatory compliance enabled by data data quality etc.

Technical and Strategic Expertise

• Machine learning deep learning generative AI natural language processing computer vision.
• AI model governance explainability and regulatory compliance.
• Data and AI ethics privacy and security
• Cloud AI platforms AI ops MLOps and data engineering pipelines.
• AI-driven automation tools and digital assistants.
• AI/ML frameworks and model monitoring.

Serve as Enterprise Data and Analytics Leader on

• Data integration data lakes data mesh real-time analytics.
• Advanced analytics predictive and prescriptive modeling.
• Data governance MDM metadata management and stewardship.
• Business intelligence and visualization.

Leadership and Organizational Change Management

• Inspire and lead teams in AI data and analytics functions.
• Develop AI governance policies ensuring ethical AI use across the organization.
• Build AI Centers of Excellence and cross-functional AI strategy teams.
• Influence enterprise-wide digital transformation through AI and data-driven insights.
• Communicate AI and data strategy effectively to C-level executives stakeholders and employees.

Regulatory and Ethical AI Governance

• Ensure compliance with global AI and data regulations.
• Promote AI transparency and responsible use in all applications.

Position Type

Additional Information

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

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race religion color national origin age sex sexual orientation disability status or any other characteristic protected by applicable law.

Compensation Grade/Pay Type: