Associate VP, AI & Modeling Strategy Leader

Vizient; Chicago (IL); On-site; USD 157,000 - 290,000; Full time

Job summary

Vizient is seeking a senior data science leader to design, develop, and implement advanced analytics, statistical modeling, and AI solutions across the enterprise. You will guide a team of data scientists, ML engineers, and quantitative analysts to deliver scalable, data-driven outcomes for strategic objectives.

You will establish governance, ensure model quality and ethical use, collaborate with business units and IT, and stay at the forefront of AI methodologies to drive client value and

Qualifications

• Advanced degree in data science, statistics, CS, applied math, engineering, or related field.
• Expertise in ML, DL, and statistical modeling techniques.
• Strong Python and SQL skills; experience with cloud AI/ML platforms.
• Knowledge of ML Ops, model governance, and lifecycle management.
• Ability to translate business problems into analytical frameworks.

Responsibilities

• Provide strategic leadership for ML and modeling initiatives with a roadmap.
• Oversee design, development, validation of models for forecasting and risk.
• Establish and maintain model governance, validation, and monitoring.
• Lead a multidisciplinary data science team and mentor staff.
• Collaborate with IT and analytics to deliver data-driven insights.
• Stay at the forefront of AI technologies and promote best practices.

Skills

Machine learning

Deep learning

Statistical modeling

Python

SQL

Data storytelling

Education

Quantitative degree (data science / statistics / CS / applied math)

Tools

AWS SageMaker

Azure ML

Databricks

ML Ops tools

Job description

Vizient is seeking a senior data science leader to design, develop, and implement advanced analytics, statistical modeling, and AI solutions across the enterprise. You will guide a team of data scientists, ML engineers, and quantitative analysts to deliver scalable, data-driven outcomes for strategic objectives.

You will establish governance, ensure model quality and ethical use, collaborate with business units and IT, and stay at the forefront of AI methodologies to drive client value and