Lead Architect, Automation & AIOps

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.

We are looking for a Lead Architect, Automation & AIOps to drive intelligent operations strategy across a large-scale enterprise IT environment. The right candidate brings deep roots in IT automation and AIOps platforms, with emerging fluency in AI and agentic technologies that are reshaping how operations teams work.

This is a hands-on leadership role. You will own platform architecture, vendor strategy, and automation program delivery while helping the organization navigate the shift from traditional runbook automation toward AI-augmented, self-healing operations.

• Lead the architecture and lifecycle management of enterprise AIOps platforms, including event correlation, alert enrichment, incident routing, and fault management
• Own the automation estate strategy, governing, rationalizing, and migrating large portfolios of operational automation use cases (200-400+) across platforms
• Drive vendor evaluation and procurement processes (RFP, VCA, TCO modeling, contract review) for AIOps and automation tooling
• Integrate AIOps platforms with CMDB, ITSM, and observability tooling to deliver end-to-end incident intelligence
• Advance observability maturity, from reactive alerting through event correlation toward predictive and autonomous operations
• Collaborate with infrastructure, SRE, and platform engineering teams to embed automation across IT operations workflows
• Apply working knowledge of AI and agentic architectures to evaluate AI-native AIOps capabilities and identify practical use cases for LLM-assisted operations
• Produce and maintain enterprise architecture artifacts including HLD, LLD, integration blueprints, and executive-facing strategy documentation

• 8+ years in enterprise IT, with 5+ years focused on AIOps, IT automation, or intelligent operations platforms
• Hands-on experience with one or more AIOps platforms: BigPanda, ServiceNow ITOM, BMC Helix, Dynatrace, Moogsoft, or equivalent
• Demonstrated experience designing and managing large-scale automation portfolios using tools such as Ansible, StackStorm, ServiceNow Orchestration, or similar
• Strong understanding of event management, alert correlation, and CMDB-driven enrichment in enterprise environments
• Experience leading RFP/VCA processes and contributing to vendor contracts and procurement decisions
• Solid grasp of ITSM integration patterns including incident, change, and problem management workflows

• Exposure to AI/ML-augmented AIOps capabilities including anomaly detection, NLP-based alert summarization, and predictive remediation
• Working knowledge of agentic AI concepts such as multi-agent orchestration, LLM-assisted automation, and tool-calling patterns, sufficient to evaluate vendor claims and guide platform direction
• Familiarity with RAG pipelines or LLM integration patterns in an operational context
• Experience with AI governance frameworks (NIST AI RMF, responsible AI principles) as they apply to automated decision-making
• Background in healthcare IT or other regulated enterprise environments
• MSc or BSc in Information Systems, Computer Science, Engineering, or equivalent

You are an operations-first architect who knows how to make AIOps actually work at enterprise scale, not just in a demo. You understand the messy reality of alert storms, CMDB debt, and automation sprawl, and you know how to build a strategy around it. Your knowledge of AI and agentic platforms is a differentiator, not a requirement. You can cut through vendor hype, ask the right technical questions, and position the organization to adopt AI capabilities without betting on them prematurely.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

€89,700 - €149,500

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