Manager, Machine Learning Operations
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, making healthcare more affordable and higher quality, and improving outcomes 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 member health, and enhance 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 role fosters a culture of excellence, agility, and innovation; sets the strategic direction of the MLOps technology stack; and aligns AI/ML engineering, data engineering, software engineering, cybersecurity, cloud operations, and other partnerships with business and technical leaders. It also oversees product development and management, portfolio execution, responsible AI practices, and the integration of governed, ethical, and explainable machine learning into enterprise processes and decisions. This position can be performed remotely, with business travel as needed. Intermountain Health maintains employment registration in Utah, Idaho, Nevada, Colorado, Montana, and Wyoming; candidates elsewhere may be considered, with certain states excluded from remote hiring. Video interviews through Microsoft Teams are required, and onsite interviews or meetings may also be required. The position is exempt, full-time, and scheduled for 40 hours per week. The listed hourly range is $59.50–$91.84, with the actual rate dependent on experience. A sign-on or relocation bonus may be offered when applicable, and the position is eligible for the Annual Pay for Performance Plan.
Requirements
- Demonstrated experience delivering and implementing successful machine learning operations infrastructure and solutions.
- Experience with DevOps 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 such as 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, working with business and technical leaders.
- Ensure efficient application of Responsible AI values to monitor and assess 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 executing projects.
- 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 key enterprise business processes and decisions, following best practices and frameworks for algorithm governance, ethics, and explainability.
- Stay current with industry trends and advances in machine learning, applying practices and technologies that enhance organizational capabilities and competitiveness.
- Support innovation through research initiatives and exploration of new machine learning methodologies and applications.
- Recruit, train, and coach machine learning operations personnel.
Benefits
- Generous benefits package covering programs intended to support well-being and wellness.
- Sign-on bonus may be offered when applicable.
- Relocation bonus may be offered when applicable.
- Eligible to participate in the Annual Pay for Performance (AP4P) Plan, providing an additional performance compensation opportunity based on selected Board-approved goals.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
