AVP, Machine Learning & Modeling

Vizient; Irving (TX); On-site; USD 157,000 - 290,000; Full time

Job summary

Vizient in Irving, TX seeks a senior leader to design, develop, and deploy 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 that support business objectives.

This role emphasizes governance, ethics, and collaboration with risk and compliance, IT and business leaders.

Qualifications

• Bachelor's/Master's/Doctorate in a quantitative field (Data Science/Statistics/CS).
• Expertise in ML, 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.

Responsibilities

• Provide strategic direction for the organization’s ML and modeling initiatives and develop a roadmap for data-driven innovation.
• Oversee the design, development, and validation of statistical, econometric, and ML models for forecasting, risk assessment, and client performance improvement.
• Establish and maintain robust model governance with documentation, version control, validation, and ongoing performance monitoring.
• Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts.
• Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable outcomes.
• Stay at the forefront of emerging AI and machine learning technologies and evaluate new tools/frameworks to enhance performance.
• Promote experimentation and best practices in applied data science.

Skills

Leadership

Communication

Stakeholder management

Team leadership

Data science

ML engineering

Education

Bachelor's/Master's/Doctorate in a quantitative field (Data Science/Statistics/CS)

Tools

Python

SQL

AWS SageMaker

Azure ML

Databricks

Job description

Excited to grow your career?

We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Our people make all the difference in our success.

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.

Career Framework

Executive - Associate VP (E1)

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.

Benefits

Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers