Model Governance Engineer

Korn Ferry Group; Tampa (FL); On-site; USD 83,000 - 90,000; Full time

Job summary

Korn Ferry is seeking a Model Governance Engineer for a fully remote role in the Insurance sector. You will lead governance for neural network models, oversee model validation, and drive lifecycle processes to ensure compliance with AI policies and industry standards.

Responsibilities include developing dashboards, metrics, and reports on model performance and risk, while collaborating with data scientists, engineers, and business stakeholders to embed governance across the development lifecycle.

Qualifications

• Proven experience building neural network models and governance frameworks across ML solutions.
• Experience with model risk management, explainability, bias testing, and audits.
• Strong communication skills to explain model behavior to technical and non-technical stakeholders.

Responsibilities

• Design, implement, and maintain neural network models and governance frameworks, standards, and controls for ML and linking solutions.
• Lead model validation and review activities, including performance assessment, precision analysis, explainability evaluation, bias testing, and risk identification.
• Establish and monitor model lifecycle processes covering development, testing, deployment, monitoring, retraining, and retirement.
• Develop governance metrics, dashboards, and reporting to provide visibility into model performance, drift, risk exposure, and business impact.
• Partner with data scientists, software engineers, architects, and stakeholders to embed governance throughout the model lifecycle.
• Create and maintain model documentation, validation reports, audit artifacts, governance approvals, and regulatory evidence.
• Evaluate model performance using statistical analysis, precision/recall, confidence scoring, and outcome monitoring.
• Lead investigations into model degradation and governance exceptions with mitigation actions.

Skills

Neural networks

Model governance

Model validation

Azure

Databricks

Spark

Java

Python

SQL

Dashboards

Monitoring

Communication

Education

Bachelor's or Master's degree in CS/DS

Tools

Cosmos DB

Databricks

Dataproc/Spark

Job description

We have partnered with our client in their search for a Model Governance Engineer.

Responsibilities

This position provides technical leadership for building neural network models and governance oversight for machine learning and linking solutions. The engineer develops neural network model governance frameworks, builds explainability capabilities, leads model reviews and validations, collaborates with engineering and data science teams, and ensures compliance with enterprise AI policies and industry standards. The position serves as a senior subject matter expert on linking models, explainability, monitoring, performance assessment, and governance.

• Design, implement, and maintain neural network models and enterprise-wide model governance frameworks, standards, and controls for machine learning and linking solutions.
• Lead model validation and review activities, including performance assessment, precision analysis, explainability evaluation, bias testing, and risk identification.
• Establish and monitor model lifecycle processes covering development, testing, deployment, monitoring, retraining, and retirement.
• Develop governance metrics, dashboards, and reporting to provide visibility into model performance, drift, risk exposure, and business impact.
• Partner with data scientists, software engineers, architects, and business stakeholders to ensure governance requirements are embedded throughout the model development lifecycle.
• Create and maintain model documentation, validation reports, audit artifacts, governance approvals, and regulatory evidence.
• Evaluate model performance using statistical analysis, precision and recall measurements, confidence scoring, explainability techniques, and business outcome monitoring.
• Lead investigations into model degradation, unexpected behavior, accuracy declines, and governance exceptions, recommending mitigation strategies and corrective actions.
• Establish controls and monitoring processes to identify data drift, concept drift, and operational risks affecting model quality.
• Communicate governance findings, model risks, validation outcomes, and recommendations to technical teams, executive leadership, auditors, and business stakeholders.
• Drive continuous improvement of model governance processes, tools, standards, and best practices across the organization.

Skills Required

• Strong understanding of neural network models, machine learning algorithms, statistical modeling techniques, predictive analytics, and AI systems.
• Experience establishing or operating model governance, model risk management, AI governance, or Responsible AI programs.
• Strong knowledge of model validation methodologies, performance measurement, drift detection, bias assessment, and explainability techniques.
• Experience with cloud-based platforms including Azure, Databricks, Spark, Cosmos DB, and large-scale data processing technologies.
• Hands-on experience with Java, Python, SQL, machine learning frameworks, and data analysis tools.
• Experience developing dashboards and automated monitoring solutions for model performance and governance metrics.
• Strong analytical and problem-solving skills with the ability to evaluate complex technical and business risks.
• Strong communication and presentation skills, with the ability to explain complex model behavior and governance findings to both technical and non-technical audiences.
• Ability to influence technical direction, governance strategy, and enterprise decision-making across multiple organizations.

Education & Work Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, Engineering, or a related technical discipline.
• 10+ years of experience in machine learning, data science, analytics, model development, model validation, or AI governance.

Title

Model Governance Engineer

Location

Remote

Client Industry

Insurance

Compensation

$60-65 / hr

Ref ID

1690480

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com