Senior VP, Machine Learning & Modeling

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

Job summary

Vizient seeks a strategic analytics leader to design, develop, and deploy advanced ML solutions across the enterprise. You will oversee data science teams, govern models, and guide governance to ensure ethical, scalable outcomes.

The role emphasizes translating complex analytics into executive-ready insights, aligning AI initiatives with business goals, and championing continuous learning and innovation in a large, matrixed organization.

Qualifications

• Bachelor's/Master's/Doctorate 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Machine learning

Deep learning

Statistical modeling

ML Ops

Model governance

Analytical thinking

Leadership

Communication

Team leadership

Domain knowledge

Python

SQL

Cloud platforms

Education

Bachelor's/Master's/Doctorate in Data Science or related quantitative field

Tools

AWS SageMaker

Azure ML

Databricks

Job description

Vizient seeks a strategic analytics leader to design, develop, and deploy advanced ML solutions across the enterprise. You will oversee data science teams, govern models, and guide governance to ensure ethical, scalable outcomes.

The role emphasizes translating complex analytics into executive-ready insights, aligning AI initiatives with business goals, and championing continuous learning and innovation in a large, matrixed organization.