Lead Information Security Analyst

McKesson•Irving, TX

6d•$165,400 - $275,600•Remote

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Requirements

Master’s Degree in Information Systems, Cybersecurity, Information Technology, or a related field and Two (2) years of experience in the job offered or related field. Employer is willing to accept Bachelor’s degree and Five (5) years of experience in the job offered or related field in lieu of the Master’s Degree and Two (2) years of experience.
Two (2) years demonstrated experience in working with cybersecurity principles, practices, and technologies.
Two (2) years demonstrated experience in working with machine learning and data analysis techniques.
Two (2) years demonstrated experience in developing and implementing technical security and AIOps strategies.
Experience working with each of the following security technologies, platforms, and AIOps tools: Firewalls; Intrusion Detection & Response (EDR); Security Information & Event Management (SIEM); Identity & Access Management (IAM); Data Loss Prevention (DLP); Cloud Security Solutions; Zero Trust Security Frameworks; Threat Intelligence Platforms; Vulnerability Management Platforms; Application Security Platforms; Security Orchestration, Automation, and Response (SOAR); App Dynamics; Datadog; Dynatrace; Splunk IT Service Intelligence (ITSI); LogicMonitor; and BigPanda.
AI & Machine Learning Fundamentals: working with supervised/unsupervised learning, neural networks, and model training.
Data Engineering: working with data ingestion, transformation, and pipeline management.
Cloud Platforms: working with Azure and Databricks for implementing AIOps.
Scripting & Automation: working with Python, Bash, or PowerShell for automating tasks and workflows.
Monitoring & Observability Tools: working with tools like Splunk, Evidently, Azure monitoring.
DevOps & CI/CD: working with Jenkins, Github Actions.
MLOps: Managing ML models in production, including versioning, monitoring, and retraining.

Responsibilities

Develop and maintain a forward-looking cybersecurity strategy while integrating emerging technologies into the AIOps roadmap.
Ensure security designs align with overarching business and IT objectives by collaborating with Security Architects and IT teams.
Provide technical direction for implementing security solutions and maintaining consistency across platforms.
Lead innovation initiatives by researching new security technologies and enhancing existing systems and processes.
Design data integration solutions that support AI training while ensuring compliance with regulatory requirements.
Assess technical security risks, implement mitigation strategies, and conduct vulnerability management activities.
Act as a technical leader, collaborating with cross-functional teams and supporting security incident investigations.
Promote security best practices, monitor performance metrics, and design scalable AIOps solutions that align with business goals.