McKesson · 3 days ago
Sr. Manager MLOps Engineering
USA, TX, Irving
Full-time
Hybrid
Senior Level, Lead/Staff
$164K/yr - $273K/yr
9+ years expMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. This role leads the design and execution of McKesson’s MLOps strategy, driving innovation and collaboration across data science and engineering teams to deliver impactful AI solutions in healthcare.
BiopharmaBiotechnologyHealth CareInformation TechnologyPharmaceutical
Responsibilities
Lead, mentor, and develop a high-performing MLOps engineering team, fostering a collaborative, innovative, and accountable culture aligned with organizational goals
Define and drive the end-to-end MLOps lifecycle, including model development, CI/CD, testing, deployment, monitoring, retraining, and governance
Architect and maintain scalable, secure, and cost-efficient ML infrastructure using cloud-native platforms (e.g., Azure ML, AKS, ADF, Databricks; AWS/GCP as needed)
Build and optimize automated pipelines and tools for model training, deployment, observability, and incident response to improve operational reliability and reduce manual effort
Partner with data scientists, software engineers, product teams, and platform groups to deliver effective, repeatable, and well-governed MLOps workflows
Establish and enforce best practices for model versioning, experiment tracking, data lineage, reproducibility, and model lifecycle documentation
Implement and maintain robust monitoring, logging, and alerting systems to track model performance, data drift, system health, and infrastructure metrics
Ensure compliance with Responsible AI standards, security protocols, and regulatory requirements, collaborating with legal and risk teams
Oversee cloud resource allocation, budgeting, and cost optimization across ML workloads in partnership with finance and procurement
Maintain comprehensive documentation, SOPs, and governance frameworks to support audits and ensure consistent and transparent MLOps practices
Stay current with evolving MLOps trends, tools, and best practices, evaluating and integrating relevant innovations to enhance the platform
Qualification
Required
Proven experience leading MLOps or ML engineering teams in enterprise environments
Expertise in cloud-native ML platforms (Azure ML, Databricks, AKS; AWS/GCP optional)
Strong knowledge of CI/CD for ML, containerization (Docker), orchestration (Kubernetes), and ML observability tools
Solid understanding of model governance, Responsible AI principles, and compliance frameworks
Excellent leadership, stakeholder management, and communication skills
Degree or equivalent experience. Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience
Preferred
Experience with healthcare data compliance (HIPAA, PHI)
Familiarity with ML monitoring tools (e.g., MLflow, EvidentlyAI)
Knowledge of cost optimization strategies for cloud ML workloads
Advanced degree in Computer Science, Data Engineering, or related field
Benefits
Competitive compensation package
Annual bonus or long-term incentive opportunities
Company
McKesson
McKesson distributes medical supplies, information technology, and care management products and services.
10001+ employees
H1B Sponsorship
McKesson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (129)
2023 (82)
2022 (142)
2021 (144)
2020 (154)
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-11-18IPO
Leadership Team
Brian Tyler
CEO
Jim McAuliffe
CFO
Recent News
2026-01-06
2026-01-03
Seattle TechFlash
2025-12-22
Company data provided by crunchbase