Lead Information Security Analyst

JOB DUTIES: 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. 100% telecommuting allowed from

any location in the U.S.

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.

Applicant must have two (2) years demonstrated experience in each of the following:

• Working with cybersecurity principles, practices, and technologies;
• Working with machine learning and data analysis techniques;
• 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.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

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