Director, Data Science and AI / ML

Director Of Data Science And AI / ML

We are seeking an experienced and dynamic Director of Data Science and AI / ML to lead our data science, AI and machine learning initiatives within a fast-paced, data-driven organization. This role demands a blend of deep technical expertise in machine learning, AI, and data engineering, combined with strong business acumen and strategic leadership. You will build and oversee a team of data scientists, AI, and machine learning engineers, guiding end-to-end solution deliveryfrom ideation, specification, and model development to scalable deployment, operationalization, monitoring, and continuous improvementprimarily leveraging Databricks.

As a hands-on leader, you will balance strategic vision with direct technical involvement, driving the implementation of robust MLOps and AIOps processes that ensure reliability, efficiency, and continuous improvement of AI / ML solutions in production. A key aspect of your role will be building trust and credibility with both business stakeholders and technical teams to foster collaboration, alignment, and shared success.

Duties And Responsibilities

Leadership & Strategy

• Define and execute the vision and roadmap for data science, AI, and ML capabilities aligned with business objectives.
• Lead, mentor, and grow a high-performing team of data scientists and ML engineers, fostering collaboration, trust, and continuous learning.
• Collaborate with cross-functional business leaders to identify, prioritize, and formalize AI / ML use cases and requirements, producing both formal and evolving specification and operational documents.
• Establish best practices, processes, and governance for model development, deployment, and lifecycle management, including AIOps and MLOps workflows.
• Lead User Acceptance Testing (UAT) processes, ensuring delivered solutions meet business needs and quality standards.
• Champion iterative continuous improvement cycles, balancing innovation with risk management and consistent value delivery.
• Build strong relationships and gain trust with business and technical teams by demonstrating transparency, reliability, and responsiveness.

Technical Oversight & Hands-on Contribution

Collaboration & Communication

Innovation & Continuous Improvement

Skills

Technical Skills

Business & Leadership Skills

Education & Experience Requirements

Education :

Experience :

Preferred Requirements

Education :

Experience :

All submissions should include a cover letter and resume.

The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.

Workplace Accommodations : The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination.

Benefits Package Highlights :