Director, Data Science- Artificial Intelligence

Key Skills

Aartificial intelligence, Agile methodologies, AIOps, Azure, C Programming, Continuous Integration & Continuous Delivery - CI/CD, CSS, Data Analysis, Data science techniques, Data Visualization, DevOps, Effective communication skills, Google Cloud Platform (GCP), IT, Java Programming, JavaScript, Large data sets, Large Language Models - LLMs, Linear regression, Logistic Regression, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Predictive Modeling, Python Programming, Teamwork, UI design, UX design

Job Description

The Director, Data Science (AI) plays a key role in building and maintaining advanced analytic models, supporting Adtalem Global Education's institutions and Home Office in subjects related to admissions, retention, and financial outcomes; he/she will work closely with senior leadership to understand their needs and assess how they can be met through specific analyses. This role reports to the Senior Director of Strategy and Business Development and is a part of the Strategy and Business Development group. This individual will manage one (1) to two (2) directs reports and, on occasion, external vendors.

• Builds and leads a high-performing team of experts in applications of AI for use by various internal and external constituents, including students and faculty, to improve constituent satisfaction and performance.
• Helps set governance standards, policies, and procedures for secure and ethical use of AI throughout the company.
• Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging AI technologies or analytical techniques, and execution of assignments.
• Identifies and manages existing and emerging risks that stem from business activities and the job role.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
• Oversees and carries out the exploration of promising new technologies, analytical methods, and data sources (internal & external) that have potential to contribute to the enterprise.
• Partners with enterprise analytical and IT teams to build core capabilities and processes.
• Identifies additional resource needs ranging from IT investments, 3rd party support, or additional analysts and developers.
• Understands the business direction, environment, and strategies to identify and recommend and is able to plan a long-term roadmap of solutions that influence decision makers and inspire change.
• Uses large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.

Qualifications

• Eight (8) years of experience in predictive modeling, large data analysis and data or computer science.
• Three (3) years of direct management experience, preferably including with software/app development teams.
• Extensive and recent experience in NLP and the design, development, evaluation, customization, application of LLM’s and multi-modal AI. Experience with a broad range of use cases and audiences for analytic and generative AI is preferred.
• Expert in front-end language (JavaScript, CSS) and at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python).
• Experience in UI/UX design.
• Strong track record of communicating results, insights, ideas, and technical solutions to Senior Executive Management (or equivalent) and to audiences with limited understanding of technical concepts in AI/ML.
• Experience in data mining and wrangling and statistical analysis.
• Excellent pattern recognition and predictive modeling skills.
• Knowledge and application of data science principles and experience with data science methodologies.
• Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
• Deep technical skills, consulting experience, and business savvy to work with all levels and disciplines within our customers' organization.

Preferred Qualifications

• Knowledge in model performance evaluation techniques, metrics, and validations strategies (nested-cross-validation, etc.).
• Expert in data visualization principles, techniques, and tools.
• Expert in communicating concepts, proposals, ideas and results to key decision makers.
• Expert in model testing, validation, and CI/CD techniques.
• Knowledge and familiarity with Google Cloud Platform.
• Not be afraid of hard work and doing things smarter, taking initiative and providing leadership.
• Experience with Vertex AI ML Ops platform or similar.
• Experience with systems in the Education Space.
• Experience in experimental design.
• Experience in project and vendor management.
• Experience with Agile methods and Azure DevOps software or similar.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $97,253.99 and $175,761.85. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Adtalem offers a robust suite of benefits including:

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays

For more information related to our benefits please visit: https://careers.adtalem.com/benefits.