AVP, Machine Learning & Modeling

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

Job description

Company and benefits

Requisition ID

34799R

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

In this role, you will lead the design, development, and implementation of advanced analytics, statistical modeling, and artificial intelligence solutions to drive data-informed decision-making across the enterprise. Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable solutions that support strategic business objectives, operational excellence, and client value creation. Serve as a key thought leader, guiding the organization’s data science strategy, ensuring model governance and compliance, and advancing the use of cutting-edge machine learning methodologies.

Role Responsibilities:

• Strategic Leadership and Vision Provide strategic direction for the organization’s machine learning and modeling initiatives. Develop and execute a roadmap for data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive analytics, and optimization.
• Model Development and Deployment Oversee the design, development, and validation of statistical, econometric, and machine learning models that support forecasting, risk assessment, operational efficiency, and client performance improvement. Ensure model accuracy, interpretability, and ethical use of data.
• Model Governance and Compliance Establish and maintain robust model governance frameworks, including documentation, version control, validation, and ongoing performance monitoring. Partner with risk management and compliance teams to ensure adherence to regulatory and ethical standards.
• Team Development and Leadership Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration while ensuring alignment with business priorities and project timelines.
• Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable business outcomes. Translate complex analytical results into actionable insights for executive decision-making.
• Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and scalability. Promote experimentation and best practices in applied data science.

Requirements:

• Bachelors or Masters or Doctorate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field preferred
• Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks).
• Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, Databricks, etc.)
• Knowledge of ML Ops, model governance, and lifecycle management best practices.
• Demonstrated ability to translate business problems into analytical frameworks and deliver measurable outcomes.
• Excellent leadership, communication, and stakeholder management skills, with the ability to present complex findings to non-technical audiences.
• Proven experience building and leading high-performing data science teams in a large, matrixed organization.
• Familiarity with healthcare, financial, or operational analytics.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.