Manager, Machine Learning Operations

Intermountain Health • Murray, UT

3d • Remote

About The Position

Intermountain Health and Select Health use data science and artificial intelligence to support their mission of helping people have the healthiest lives possible, improving healthcare affordability and quality, and making a difference for patients and communities. The Machine Learning Operations Manager is a hands-on, results-oriented leader responsible for overseeing the deployment and monitoring of machine learning products at Select Health. The role aims to deliver measurable reductions in healthcare costs, improve members’ health, and improve the member experience.

The manager leads and mentors machine learning operations engineers and data engineers who enable enterprise machine learning solutions to be deployed and monitored at scale. The position fosters a culture of excellence, agility, and innovation; sets strategic direction for the MLOps technology stack; and aligns engineering, cybersecurity, cloud operations, and other partners with business and technical leaders. The manager oversees product development and management, team building, and a portfolio of projects, while ensuring solutions meet clinical, business, and technical needs and follow responsible AI, governance, ethics, and explainability practices.

This is a remote-eligible position with business travel as needed. Intermountain Health maintains employment registration in Utah, Idaho, Nevada, Colorado, Montana, and Wyoming; candidates elsewhere may be considered, but remote workers are not currently being hired in California, Connecticut, Hawaii, Illinois, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Vermont, or Washington. Video interviews through Microsoft Teams are required, with potential onsite interviews and meetings. The role is exempt and full-time, with 40 scheduled weekly hours. The listed hourly range is $59.50–$91.84, with actual rate dependent on experience. Pay offers are based on relevant experience within the established pay range.

Requirements

• Demonstrated experience delivering and implementing successful machine learning operations infrastructure and solutions.
• Experience with DevOps best practices, including continuous integration and continuous deployment (CI/CD), and tools such as Docker, Kubernetes, and Git.
• Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.
• Strong leadership skills and the ability to motivate and guide high-performing teams.
• Excellent communication and interpersonal skills, including experience engaging with senior-level stakeholders.
• Solid understanding of machine learning methodologies, algorithms, and frameworks, including agentic systems.
• Experience with machine learning tools and programming languages such as Python, R, and SQL.
• Experience with machine learning production frameworks including Spark, TensorFlow, MLflow, and LangChain.

Nice To Haves

• Bachelor’s degree in AI, ML, Computer Science, Statistics, or a related field.
• Five years of experience in machine learning, data science, data engineering, or software engineering.
• Experience deploying Generative AI products into operational workflows.
• Experience in health insurance, population health, or a related industry, with a solid understanding of medical economics.

Responsibilities

• Set the strategic direction for the MLOps technology stack.
• Manage partnerships and strategic alignment across AI and ML engineering, data engineering, software engineering, cybersecurity, cloud operations, and other teams with business and technical leaders.
• Ensure responsible AI values are applied to monitoring and assessing internal and third-party machine learning solutions.
• Engage the team in executing the AI and ML strategic vision and roadmap.
• Coordinate machine learning operations and data engineering product development and product management.
• Build and train effective machine learning engineering teams, foster employee engagement, ensure best practices, and maintain strategic alignment.
• Mentor and coach machine learning operations engineering leads in developing team culture and project execution.
• Manage and execute the machine learning operations project portfolio, ensuring timely, high-quality delivery that meets clinical, business, and technical needs.
• Integrate machine learning solutions into enterprise business processes and decisions using best practices and frameworks for algorithm governance, ethics, and explainability.
• Keep current with industry trends and advancements in machine learning and apply relevant practices and technologies.
• Support innovation through research initiatives and exploration of new machine learning methodologies and applications.
• Recruit, train, and coach machine learning operations personnel.

Benefits

• Potential sign-on bonus when applicable.
• Potential relocation bonus when applicable.
• Eligibility to participate in the Annual Pay for Performance (AP4P) Plan, which offers leaders additional performance-based compensation tied to selected Board-approved goals.
• Comprehensive benefits package with programs supporting well-being, including living healthy, happy, secure, connected, and engaged.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed